WorldWideScience

Sample records for sustainability index esi

  1. 2005 Environmental Sustainability Index (ESI)

    Data.gov (United States)

    National Aeronautics and Space Administration — The 2005 Environmental Sustainability Index (ESI) is a measure of overall progress towards environmental sustainability, developed for 146 countries. The index...

  2. 2001 Environmental Sustainability Index (ESI)

    Data.gov (United States)

    National Aeronautics and Space Administration — The 2001 Environmental Sustainability Index (ESI) utilizes a refined methodology based on the 2000 Pilot ESI effort, to construct an index covering 122 countries...

  3. 2002 Environmental Sustainability Index (ESI)

    Data.gov (United States)

    National Aeronautics and Space Administration — The 2002 Environmental Sustainability Index (ESI) measures overall progress toward environmental sustainability for 142 countries based on environmental systems,...

  4. 2000 Pilot Environmental Sustainability Index (ESI)

    Data.gov (United States)

    National Aeronautics and Space Administration — The 2000 Pilot Environmental Sustainability Index (ESI) is an exploratory effort to construct an index that measures the ability of a nation's economy to achieve...

  5. Compendium of Environmental Sustainability Indicator Collections: 2005 Environmental Sustainability Index (ESI)

    Data.gov (United States)

    National Aeronautics and Space Administration — The 2005 Environmental Sustainability Index (ESI) portion of the Compendium of Environmental Sustainability Indicators Collection contains 103 variables for 146...

  6. North Slope, Alaska ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries used for the production of the hardcopy maps as part of the Environmental Sensitivity Index (ESI)...

  7. Virginia ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of all hardcopy cartographic products produced as part of the Environmental Sensitivity Index...

  8. Puerto Rico ESI/RSI: INDEX

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  9. Prince William Sound, Alaska ESI: INDEX

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  10. Louisiana ESI: ESI (Environmental Sensitivity Index Shoreline Types - Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines representing the shoreline and coastal habitats of Louisiana classified according to the Environmental Sensitivity Index (ESI)...

  11. Southeast Alaska ESI: BIOINDEX (Biological Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of the 1:300,000 map boundaries used in the creation of the Environmental Sensitivity Index (ESI)...

  12. U.S. Virgin Islands and British Virgin Islands ESI: ESI (Environmental Sensitivity Index Shoreline Types)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  13. Prince William Sound, Alaska ESI: ESI (Environmental Sensitivity Index Shoreline Types)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  14. Golfo de Fonseca ESI; Honduras and Nicaragua: ESI (Environmental Sensitivity Index Shoreline Types)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  15. American Samoa ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of all the hardcopy cartographic products produced as part of the Environmental Sensitivity Index...

  16. Golfo de Fonseca ESI; Honduras and Nicaragua: INDEX

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  17. Is a mobile emergency severity index (ESI) triage better than the paper ESI?

    Science.gov (United States)

    Savatmongkorngul, Sorravit; Yuksen, Chaiyaporn; Suwattanasilp, Chanakarn; Sawanyawisuth, Kittisak; Sittichanbuncha, Yuwares

    2017-12-01

    This study aims to evaluate the mobile emergency severity index (ESI) tool in terms of validity compared with the original ESI triage. The original ESI and mobile ESI were used with patients at the Department of Emergency Medicine, Ramathibodi Hospital, Thailand. Eligible patients were evaluated by sixth-year medical students/emergency physicians using either the original or mobile ESI. The ESI results for each patient were compared with the standard ESI. Concordance and kappa statistics were calculated for pairs of the evaluators. There were 486 patients enrolled in the study; 235 patients (48.4%) were assessed using the mobile ESI, and 251 patients (51.6%) were in the original ESI group. The baseline characteristics of patients in both groups were mostly comparable except for the ED visit time. The percentages of concordance and kappa statistics in the original ESI group were lower than in the mobile group in all three comparisons (medical students vs gold standard, emergency physicians vs gold standard, and medical students vs emergency physicians). The highest kappa in the original ESI group is 0.69, comparing emergency physicians vs gold standard, while the lowest kappa in the application group is 0.84 comparing the medical students vs gold standard. Both medical students and emergency physicians are more confident with the mobile ESI application triage. In conclusion, the mobile ESI has better inter-rater reliability, and is more user-friendly than the original paper form.

  18. Choice of Index Determines the Relationship between Corruption and Environmental Sustainability

    Directory of Open Access Journals (Sweden)

    Robert M. Ewers

    2007-06-01

    Full Text Available The Environmental Sustainability Index (ESI was recently used to investigate links between sustainability and corruption. Here, we show that the ESI contradicts another widely used index of environmental sustainability, the Ecological Footprint (EF, with the result that the most sustainable nations under the ESI are the least sustainable under the EF. Consequently, opposite conclusions can be drawn from investigations into the causes of environmental sustainability, depending on which index is used.

  19. Environmental Sensitivity Index (ESI) Threatened and Endangered Species REST Services

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. Coastal species that...

  20. Environmental Sensitivity Index (ESI) Atlas: Cook Inlet, Alaska, maps and geographic information systems (NODC Accession 0046027)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Cook Inlet and Kenai Peninsula, Alaska. ESI data characterize estuarine environments and...

  1. Environmental Sensitivity Index (ESI) Atlas: Louisiana maps and geographic information systems data (NODC Accession 0013802)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of Louisiana. ESI data characterize estuarine environments and wildlife by...

  2. Environmental Sensitivity Index (ESI) Atlas: New Hampshire, maps and Geographic Information Systems data (NODC Accession 0014789)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the New Hampshire coast from 2003 to 2004. ESI data characterize estuarine environments...

  3. Environmental Sensitivity Index (ESI) Atlas: Mississippi, maps and geographic information systems data (NODC Accession 0013801)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of Mississippi. ESI data characterize coastal environments and wildlife by...

  4. Environmental Sensitivity Index (ESI) Atlas: Columbia River, maps and geographic information systems data (NODC Accession 0013951)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Columbia River from 1979 to 2004. ESI data characterize estuarine environments and...

  5. Environmental Sensitivity Index (ESI) Atlas: Virginia, maps and geographic information systems data (NODC Accession 0014794)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Virginia from 1998 to 2004 (vs. 2 GDB). ESI data characterize estuarine environments and...

  6. Environmental Sensitivity Index (ESI) Atlas: Alabama, maps and geographic information systems data (NODC Accession 0013800)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of Alabama. ESI data characterize coastal environments and wildlife by their...

  7. Environmental Sensitivity Index (ESI) Atlas: Southern California, maps and geographic information systems data (NODC Accession 0013225)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of southern California. ESI data characterize coastal environments and...

  8. Environmental Sensitivity Index (ESI) Atlas: Kodiak, maps and geographic information systems data (NODC Accession 0026418)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of Kodiak Island and Shelikof Strait, Alaska. ESI data characterize...

  9. Environmental Sensitivity Index (ESI) Atlas: Hudson River, maps and geographic information systems data (NODC Accession 0014791)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Hudson River from 1942 to 2005. ESI data characterize estuarine environments and...

  10. Guam and the Northern Mariana Islands ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of all hardcopy cartographic products produced as part of the Environmental Sensitivity Index...

  11. Louisiana ESI: LG_INDEX (Large Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of all the hardcopy cartographic products produced as part of the Environmental Sensitivity Index...

  12. Gulf-Wide Information System, Environmental Sensitivity Index Seagrass, Geographic NAD83, LDWF (2001) [esi_seagrass_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) seagrass data of coastal Louisiana. The ESI is a classification and ranking system, which characterizes...

  13. Gulf-Wide Information System, Environmental Sensitivity Index Swamps, Geographic NAD83, LDWF (2001) [esi_swamp_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) swamps data of coastal Louisiana. The ESI is a classification and ranking system, which characterizes...

  14. Gulf-Wide Information System, Environmental Sensitivity Index Salinity, Geographic NAD83, LDWF (2001) [esi_salinity_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) salinity data of coastal Louisiana. The ESI is a classification and ranking system, which characterizes...

  15. Gulf-Wide Information System, Environmental Sensitivity Index Marsh, Geographic NAD83, LDWF (2001) [esi_fresh_marsh_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) fresh marsh data of coastal Louisiana. The ESI is a classification and ranking system, which...

  16. An Environmental Stress Index (ESI) as a Substitute for the Wet Bulb Globe Temperature (WBGT)

    Science.gov (United States)

    2001-02-01

    This report summarizes the development of a new environmental stress index (ESI) to asses heat stress. Two independent studies containing four...develop a new environmental stress index (ESI). Meteorological measurements were taken in three climatic zones (hot/wet, hot/dry, and extremely hot/dry

  17. ESI-HI74 Mokapu, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-PR49, Rio Descalabrado, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-HI34 Kukaiau and Keanakolu, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-HI84 Kapaa, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-PR34, Jayuya, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. ESI-PR05, Quebradillas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-HI78 Hanapepe, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-HI48 Wailuku, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-PR07, Arecibo, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. ESI-HI10 Pahala, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. ESI-PR39 Juncos, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-VI14, Anegada U.K. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-PR09, Manati, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-HI68 Haleiwa, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-HI93 Lisianski Island, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-PR59, Punta Cuchara , Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-HI90 Gardner Pinnacles, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-HI19 Honaunau, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-PR06, Camuy, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-HI26 Puu Hinai, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. ESI-PR18 Bayaney, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-VI12 Beef Island, U.K. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-HI27 Kawaihae, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-HI06 Kalapana, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-HI02 Keaau Ranch, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. ESI-HI33 Honokaa, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-PR45, Sabana Grande, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-HI95 Midway Islands, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-HI23 Makalawena, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. ESI-HI65 Ewa, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. ESI-HI44 Olowalu, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-HI09 Naliikakani Point, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-PR21, Ciales, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-HI38 Kipahulu, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-VI11, Tortola, U.K. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-HI37 Hana, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-HI62 Pearl Harbor, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-HI69 Waimea, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-HI12 Naalehu, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-PR29, Mayaguez, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. ESI-HI07 Makaopuhi Crater, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-PR13, Carolina, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-PR43, Puerto Real, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-VI9, Peter Island, U.K. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-06, Tau Island, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. ESI-HI29 Mahukona, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-HI08 Kau Desert, Island of Hawaii, Hawaii 2001 ( Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-08,Swains Island, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-PR42, Punta Puerca, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. ESI-PR30, Rosario, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. ESI-HI57 Molokai Airport, Island of Molokai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-PR02, Aguadilla, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-HI50 Haiku, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-HI16 Manuka Bay, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-HI47 Kahakuloa, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-07 Rose Atoll, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-05, Ofu & Olosega Islands, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-HI28 Keawanui Bay, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-HI94 Pearl and Hermes Atoll, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-PR20, Florida, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. ESI-PR16, Central La Plata, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-HI67 Kaena, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-PR22, Corozal, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-HI42 Puu O Kali, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-HI76 Lihue, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. ESI-HI66 Waianae, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-HI55 Lanai North, Island of Lanai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-HI49 Paia, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-HI72 Kahana, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. ESI-PR35, Orocovis, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. ESI-PR64, Guayama, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-HI54 Lanai South, Island of Lanai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-PR61, Santa Isabel, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-HI46 Napili, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-PR15, Rincon, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-HI11 Punaluu, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-HI63 Waipahu, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-03, Tutuila Island - South, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-PR50, Coamo, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-HI59 Molokai East, Island of Molokai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. ESI-HI43 Maalaea, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-PR56, Parguera, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-PR33, Adjuntas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-PR19, Utuado, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-01, Tutuila Island - West, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. ESI-08,Swains Island, American Samoa2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-PR14, Rio Grande, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-HI17 Milolii, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-PR28 Cayo Icacos, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. ESI-PR17, San Sebastian, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. ESI-HI87 Nihoa, Island of Nihoa, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-HI52 Nahiku, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-PR62, Salinas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-PR27, Fajardo, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-PR3 Isabela, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-PR37 Comerio, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-02, Tutuila Island - North, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-HI03 Pahoa North, Island of Hawaii, Hawaii 2001 Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-HI92 Laysan Island, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-PR08, Barceloneta, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. ESI-PR57, Guanica, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-HI32 Kukuihaele, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-HI30 Hawi, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-HI08 Kau Desert, Island of Hawaii, Hawaii 2001( Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-HI18 Kauluoa Point, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. ESI-PR67, Isla De Vieques, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-HI01 Hilo, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-HI53 Kahoolawe, Island of Kahoolawe, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-PR58, Punta Verraco, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. ESI-HI83 Anahola, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. ESI-HI80 Makaha Point, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-PR40 Humacao, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-PR46, Yauco, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-HI58 Molokai East, Island of Molokai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-HI21 Kailua, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-HI75 Koko head, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-HI82 Hanalei, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-PR12, San Juan, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-PR11, Bayamon, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-PR36 Barranquitas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. ESI-PR53, Yabucoa, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-PR47, Penuelas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-PR1 Isla Mona and Isla Desecheo, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-PR32, Monte Guilarte, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. Environmental Sensitivity Index (ESI) Atlas: West Florida, maps and geographic information systems data (NODC Accession 0006249)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps in Portable Document Format (.PDF) for the shoreline of West Florida (to encompass the coastal...

  2. ESI-PR31, Maricao, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-06, Tau Island, American Samoa 2003(Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-HI77 Koloa, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-HI79 Kekaha, Island of Kauai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. ESI-HI41 Makena, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. ESI-PR25, Gurabo, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-HI22 Keahole Point, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-HI24 Kiholo, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-HI31 Honokane, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-HI70 Kahuku, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-HI35 Papaaloa, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-HI56 ILio Point, Island of Molokai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-HI89 French Frigate Shoals, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-HI04 Kapoho, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-HI86 Niihau North, Island of Niihau, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. Environmental Sensitivity Index (ESI) Atlas: Great Lakes, 1995-1998 (NODC Accession 0013820)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps in .PDF format for the following Great Lakes and associated waterways: north, east, and west...

  18. Environmental Sensitivity Index (ESI) Atlas: South Florida, July 1996 (NODC Accession 0006539)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps in Portable Document Format (.PDF) for the shoreline of South Florida (to encompass the...

  19. ESI-HI36 Papaikou, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-PR60 Playa De Ponce , Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-HI13 Ka Lae, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. Environmental Sensitivity Index (ESI) Atlas: West Peninsular Florida Volume 1 (NODC Accession 0006377)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps in Portable Document Format (.PDF) for the shoreline of West Peninsular Florida (to encompass...

  3. ESI-PR65, Punta Tuna, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-HI96 Kure Atoll, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-PR24, Aguas Buenas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. Environmental Sensitivity Index (ESI) Atlas: Hawaii, December 2001, 2002, Volume 1 and 2 (NODC Accession 0002828)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Currently, the most widely used approach to sensitive environment mapping in the United States is the NOAA Environmental Sensitivity Index or ESI. This approach...

  7. Environmental Sensitivity Index (ESI) Atlas: Hawaii - 2001, maps and geographic information systems data (NODC Accession 0033632)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The most widely used approach to sensitive environment mapping in the U.S. is NOAA's Environmental Sensitivity Index (ESI). This approach systematically complies...

  8. Environmental Sensitivity Index (ESI) Atlas: American Samoa, 2004 (NODC Accession 0002827)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Currently, the most widely used approach to sensitive environment mapping in the United States is the NOAA Environmental Sensitivity Index (ESI). This approach...

  9. ESI-HI64 Schofield Barracks, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-PR10, Vega Alta, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-HI14 Puu Hou, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-HI39 Kaupo, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-HI20 Kealakekua, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-PR26, El Yunque, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-PR68, Isla De Vieques, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. Environmental Sensitivity Index (ESI) Atlas: Upper Texas Coast (NODC Accession 0046089)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This CD-ROM product from the NOAA National Ocean Service Hazardous Materials Response and Assessment Division contains the Environmental Sensitivity Index (ESI) data...

  17. ESI-PR51, Cayey, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. ESI-VI13, Virgin Gorda, U.K. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. ESI-PR66, Culebra and Adjacent Islands, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI-04, Tutuila Island - East, American Samoa 2003 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. ESI-HI04 Kapoho, Island of Hawaii, Hawaii2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  2. ESI-PR48, Ponce, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  3. ESI-HI61 Honululu, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-PR52, Patillas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. ESI-HI45 Lahaina, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  6. Environmental Sensitivity Index (ESI) Atlas: Guam - 2005 maps and geographic information systems data (NODC Accession 0033616)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The most widely used approach to sensitive environment mapping in the U.S. is NOAA's Environmental Sensitivity Index (ESI). This approach systematically complies...

  7. ESI-HI01 Hilo, Island of Hawaii, Hawaii2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. ESI-HI25 Anaehoomalu, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. ESI-PR38, Caguas, Puerto Rico 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. ESI-HI60 Molokai East, Island of Molokai, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-HI91 Maro Reef, NWHI, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-HI51 Keanae, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-HI40 Lualailua Hills, Island of Maui, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-HI05 Pahoa South, Island of Hawaii, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI-HI73 Kaneohe, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-HI71 Hauula, Island of Oahu, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. Firm Sustainability Performance Index Modeling

    Directory of Open Access Journals (Sweden)

    Che Wan Jasimah Bt Wan Mohamed Radzi

    2015-12-01

    Full Text Available The main objective of this paper is to bring a model for firm sustainability performance index by applying both classical and Bayesian structural equation modeling (parametric and semi-parametric modeling. Both techniques are considered to the research data collected based on a survey directed to the China, Taiwan, and Malaysia food manufacturing industry. For estimating firm sustainability performance index we consider three main indicators include knowledge management, organizational learning, and business strategy. Based on the both Bayesian and classical methodology, we confirmed that knowledge management and business strategy have significant impact on firm sustainability performance index.

  18. Environmental Sensitivity Index (ESI) Atlas: San Francisco Bay - 1998, maps and geographic information systems data (NODC Accession 0036884)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of San Francisco Bay. ESI data characterize estuarine environments and...

  19. Environmental Sensitivity Index (ESI) Atlas: US and British Virgin Islands, maps and geographic information systems data (NODC Accession 0002069)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  20. Environmental Sensitivity Index (ESI) Atlas: Northwest Arctic, Alaska, volume 2, maps and geographic information systems data (NODC Accession 0046028)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Northwest Arctic, Alaska. ESI data characterize estuarine environments and wildlife by...

  1. Environmental Sensitivity Index (ESI) Atlas: Aleutian Islands, Alaska, maps and geographic information systems data (NODC Accession 0014927)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the Aleutian Islands, Alaska. ESI data characterize coastal environments and wildlife by...

  2. Environmental Sensitivity Index (ESI) Atlas: Prince William Sound, Alaska, Volumes 1 and 2, geographic information systems data (NODC Accession 0019218)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  3. Environmental Sensitivity Index (ESI) Atlas: San Francisco Bay, California maps and geographic information systems data (NODC Accession 0013224)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of San Francisco Bay. ESI data characterize estuarine environments and...

  4. Environmental Sensitivity Index (ESI) Atlas: North Carolina and South Carolina Digital Data Re-release, 1996 (NODC Accession 0049956)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises an update of the Environmental Sensitivity Indexes (ESI) data for North and South Carolina. ESI data characterize estuarine environments and...

  5. Gulf-Wide Information System, Environmental Sensitivity Index Oyster Leases, Geographic NAD83, LDWF (2001) [esi_oyster_lease_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) oyster leases data of coastal Louisiana. The ESI is a classification and ranking system, which...

  6. Gulf-Wide Information System, Environmental Sensitivity Index Brackish Marsh, Geographic NAD83, LDWF (2001) [esi_brackish_marsh_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) brackish marshes data of coastal Louisiana. The ESI is a classification and ranking system, which...

  7. Gulf-Wide Information System, Environmental Sensitivity Index Intermediate Marsh, Geographic NAD83, LDWF (2001) [esi_intermediate_marsh_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) intermediate marshes data of coastal Louisiana. The ESI is a classification and ranking system, which...

  8. Hawaii ESI: ESI (Environmental Sensitivity Index Shoreline Types - Polygons and Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector arcs and polygons representing the shoreline and coastal habitats of Hawaii classified according to the Environmental Sensitivity Index...

  9. Emergy sustainability index of a milk producing unit

    Directory of Open Access Journals (Sweden)

    Edmar Eduardo Bassan Mendes

    2013-12-01

    Full Text Available Although small, the impacts caused by agriculture and livestock productive activities change the environment, which in turn reflects the stress conditions it is under. Some authors these environmental changes occur for countless reasons, many so-called natural while others are due to anthropogenic interventions. This study aims to assess milk production sustainability using the emergy analysis of indicators, considering the annual cycles of production to help decision making. A conceptual model of the milk production system using the Emergy flow chart was built at the Livestock and Agricultural Production Unit (UPA of the Alto da Arauna Farm, located in Guzolândia, SP. After data processing, the emergy calculation table was elaborated. Several emergy sustainability indices were calculated and analyzed (indicators Renewability of Emergy Used Total, Index of Environmental Load Ratio of Investment Ratio Emergia beyond the calculations Tranformidades among others including the Emergy Sustainability Index (ESI. The results showed that the UPA has a high impact per unit of energy source used to produce milk for the general public. The agricultural production systems with ESI value less than one (1 can be considered unsustainable in the long term. The studied UPA has good working conditions and soil conservation, but has a highly disproportionate use of economy inputs in relation to natural resources, which results in low ESI value. The analysis of this ratio indicated low system efficiency. Several management practices and interventions were proposed aiming at improving sustainability indicators of the production system.  Furthermore, strategies were formulated for more sustainable management of this UPA, thus reducing the impacts of the production system in use. The adoption of methods similar to organic production, agroecological systems, integration between farming and livestock, and/or adoption of silvopastoral system are recommended to improve

  10. ESI-VI10 Jost Van Dyke, U.K. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  11. ESI-V1 Frederiksted, St. Croix., U.S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  12. ESI-VI4 Western St.Thomas, U.S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  13. ESI-VI5, Central St Thomas, U.S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  14. ESI-VI6, Eastern St Thomas, U.S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  15. ESI PDF Maps: Environmental Sensitivity Index PDF Maps (for the U.S. Shorelines, including Alaska, Hawaii, and Puerto Rico)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. ESI-VI3 East Point, St. Croix, U.S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. Environmental Sensitivity Index (ESI) Atlas: Central California (Including Monterey Bay Sanctuary), maps and geographic information systems data (NODC Accession 0013176)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps have been developed for the coastal areas of Central California from Point Conception to Point Reyes National Seashore....

  18. ESI-VI7, Western St John, U.S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. Environmental Sensitivity Index (ESI) Atlas: West Peninsular Florida Volume 2, maps in portable document format (pdf) (NODC Accession 0006394)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps in Portable Document Format (.PDF) for the shoreline of lower West Peninsular Florida (to...

  20. Environmental Sensitivity Index (ESI) Atlas: Bristol Bay, Alaska, maps and geographic information systems data (NCEI Accession 0033382)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The most widely used approach to sensitive environment mapping in the United States is the NOAA Environmental Sensitivity Index (ESI). This approach systematically...

  1. Environmental Sensitivity Index (ESI) Atlas: East Florida, maps in portable document format, Volume 1, Volume 2 (NODC Accession 0004150)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps in Portable Document Format (.PDF) for the shoreline of East Florida (to encompass the coastal...

  2. Environmental Sensitivity Index (ESI) Atlas: Guam and the Northern Mariana Islands, maps and geographic information systems data (NODC Accession 0002825)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Currently, the most widely used approach to sensitive environment mapping in the United States is the NOAA Environmental Sensitivity Index or ESI. This approach...

  3. ESI-HI85 Niihau South and Kaula Island, Island of Niihau, Hawaii 2001 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  4. ESI-VI2, Christiansted, St. Croix, U.S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  5. Environmental Sensitivity Index (ESI) Atlas: Southeast Alaska - volume 1, geographic information systems data and volume 2, maps in portable document format (NCEI Accession 0046029)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Northwest Arctic, Alaska. ESI data characterize estuarine environments and wildlife by...

  6. Environmental Sensitivity Index (ESI) Atlas: Alaska - 2, Northwest Arctic - 2002, North Slope - 2005, Western - 2003, maps and geographic systems data (NODC Accession 0049913)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Northwest Arctic, North Slope, and Western Alaska. ESI data characterize estuarine...

  7. Environmental Sensitivity Index (ESI) Atlas: U.S. and British Virgin Islands maps and geographic information systems data (NODC Accession 0049955)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises an update of the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife...

  8. Environmental Sensitivity Index (ESI) Atlas: Puget Sound and Strait of Juan de Fuca, maps and geographic information systems data (NODC Accession 0013952)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Puget Sound and Strait of Juan de Fuca from 1978 to 2006. ESI data characterize...

  9. Environmental Sensitivity Index (ESI) Atlas: South Carolina - Volume 1, geographic information systems data, Volume 2, maps and data in portable document format (NODC Accession 0013822)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of South Carolina. ESI data characterize coastal environments and wildlife...

  10. Gulf-Wide Information System, Environmental Sensitivity Index Classification of the Outer Coast, Geographic NAD83, LDWF (2001) [esi_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains arcs representing the Environmental Sensitivity Index (ESI) classification of the outer coast of Louisiana. The ESI is a classification and...

  11. Environmental Sensitivity Index (ESI) Atlas: North Carolina - Volume 1, geographic information systems data, Volume 2, maps and data in portable document format (NODC Accession 0013821)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of North Carolina. ESI data characterize coastal environments and wildlife...

  12. Gulf-Wide Information System, Environmental Sensitivity Index Scrub-Shrub and Wetlands, Geographic NAD83, LDWF (2001) [esi_scrub-shrub_wetland_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains Environmental Sensitivity Index (ESI) scrub-shrub and wetlands data of coastal Louisiana. The ESI is a classification and ranking system,...

  13. Environmental Sensitivity Index (ESI) Atlas: Western Alaska - volume 1, geographic information systems data and data tables and volume 2, maps in portable document format (PDF) (NODC Accession 0046030)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Western Alaska. ESI data characterize estuarine environments and wildlife by their...

  14. Corporate Sustainability Reporting in the BIST Sustainability Index

    Directory of Open Access Journals (Sweden)

    Burcu Demirel

    2016-11-01

    Full Text Available In recent years, there is a growing focus on corporate operations especially since the publication of the first environmental reports in 1989. Companies have started to publish information about its environmental, social and sustainability policies. The study examines the sustainability reporting elements of Borsa Istanbul Sustainability Index (BIST in Turkey and to evaluate which elements is most vital in this context. This study will begin with the sustainability reporting that will be examined under the roof of corporation sustainability and end with the examination of sustainability reports of 15 firms, which are included in the BIST Sustainability Index in Turkey, and a content analysis. The reports of companies under study were taken from special web site and GRI (Global Reporting Initiative database of companies. Being the first study in examining the sustainability report of companies in BIST Sustainability Index, it is expected to contribute in literature about sustainability reporting recently started to gain importance in Turkey. Overall our findings suggest that the sustainability index established in Turkey is still in development stage, but the enterprises in the endeavor are working day by day to develop the sustainability qualities.

  15. Corporate Sustainability Reporting in the BIST Sustainability Index

    OpenAIRE

    Burcu Demirel; Murat Erdogan

    2016-01-01

    In recent years, there is a growing focus on corporate operations especially since the publication of the first environmental reports in 1989. Companies have started to publish information about its environmental, social and sustainability policies. The study examines the sustainability reporting elements of Borsa Istanbul Sustainability Index (BIST) in Turkey and to evaluate which elements is most vital in this context. This study will begin with the sustainability reporting that will be exa...

  16. Environmental Sensitivity Index (ESI) Data Viewer and REST Services for Atlases

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — ESI data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. There are three main components: shoreline habitats,...

  17. Environmental Sensitivity Index (ESI) Atlas, Gulf of Mexico, Alabama 2007, Louisiana 2003, Mississippi 1995, maps and geographic information systems data (NODC Accession 0036821)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The most widely used approach to sensitive environment mapping in the U.S. is NOAA's Environmental Sensitivity Index (ESI). This approach systematically complies...

  18. Environmental Sensitivity Index (ESI) Atlas: Puerto Rico - Volume 1, geographic information systems data, Volume 2, maps in portable document format (NODC Accession 0006584)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Currently, the most widely used approach to sensitive environment mapping in the United States is the NOAA Environmental Sensitivity Index (ESI). This approach...

  19. ESI-VI8, Peter Island, U. K. and Eastern St John, U. S. Virgin Islands 2000 (Environmental Sensitivity Index Map)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. ESI GIS Data and PDF Maps: Environmental Sensitivity Index including GIS Data and Maps (for the U.S. Shorelines, including Alaska, Hawaii, and Puerto Rico)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  1. Environmental Sensitivity Index (ESI) Atlas: Massachusetts - Volume 1, geographic information systems data and Volume 2, maps and data in portable document format maps and geographic information systems data (NODC Accession 0014790)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Massachusetts from 1980 to 2000. ESI data characterize estuarine environments and wildlife...

  2. Mapping of Environmental Sensitive Index (ESI) for the oil spills at Goa coast, India

    Digital Repository Service at National Institute of Oceanography (India)

    ManiMurali, R.; Kumar, R.

    uses GIS and remote sensing techniques to achieve the task. The paper suggests the need for having a pre-validated ESI maps in response to action and contingency planning for oil spills in India. This study is of first kind in this region to have...

  3. A Quantitative Index of Forest Structural Sustainability

    Directory of Open Access Journals (Sweden)

    Jonathan A. Cale

    2014-07-01

    Full Text Available Forest health is a complex concept including many ecosystem functions, interactions and values. We develop a quantitative system applicable to many forest types to assess tree mortality with respect to stable forest structure and composition. We quantify impacts of observed tree mortality on structure by comparison to baseline mortality, and then develop a system that distinguishes between structurally stable and unstable forests. An empirical multivariate index of structural sustainability and a threshold value (70.6 derived from 22 nontropical tree species’ datasets differentiated structurally sustainable from unsustainable diameter distributions. Twelve of 22 species populations were sustainable with a mean score of 33.2 (median = 27.6. Ten species populations were unsustainable with a mean score of 142.6 (median = 130.1. Among them, Fagus grandifolia, Pinus lambertiana, P. ponderosa, and Nothofagus solandri were attributable to known disturbances; whereas the unsustainability of Abies balsamea, Acer rubrum, Calocedrus decurrens, Picea engelmannii, P. rubens, and Prunus serotina populations were not. This approach provides the ecological framework for rational management decisions using routine inventory data to objectively: determine scope and direction of change in structure and composition, assess excessive or insufficient mortality, compare disturbance impacts in time and space, and prioritize management needs and allocation of scarce resources.

  4. Environmental Sensitivity Index (ESI) Atlas: Puerto Rico - 2000, maps and geographic information systems data DVD (NODC Accession 0014188)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — ESI data characterize coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline...

  5. Puerto Rico ESI and RSI: WETLANDS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  6. Puerto Rico ESI/RSI: BIRDS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  7. Puerto Rico ESI/RSI: HYDRO (Hydrology)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  8. Puerto Rico ESI and RSI: STATIONS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  9. Puerto Rico ESI/RSI: HABITATS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  10. Towards a Framework for Evaluating Sustainable Society Index

    Directory of Open Access Journals (Sweden)

    Milica Maričić

    2014-09-01

    Full Text Available The Sustainable Society Index describes social progress along three dimensions: human, environmental and economic. Being a composite indicator, its aim is to be a comprehensive and quantitative measure of sustainability and a quality of life of a nation. The objective of this paper is to offer a new approach to a framework for objective evaluation of the SSI. To this end we have improved the SSI by implementing a statistical I-distance method that synthesizes several indicators into one quantitative indicator. The applied I-distance method offers the possibility to obtain an optimal set of variables for future revisions of the Sustainable Society Index. In addition, the differences in ranks between countries have been discussed. We hope that our results may initiate further studies concerning the framework of the Sustainable Society Index.

  11. Environmental Sensitivity Index (ESI) Atlas, Gulf of Mexico, Upper Coast of Texas PDFs 1996, Louisiana 2003, Mississippi 2009, Alabama 2007, Florida 1995-2003 maps and geographic information systems data (NODC Accession 0064870)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The most widely used approach to sensitive environment mapping in the U.S. is NOAA's Environmental Sensitivity Index (ESI). This approach systematically complies...

  12. Environmental Sensitivity Index (ESI) Atlas: Rhode Island, Connecticut, and the New York-New Jersey Metropolitan Area - Volume 1, Geographic Information Systems data and Volume 2, Maps in Portable Document Format (NODC Accession 0014792)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Rhode Island, Connecticut, and the New York - New Jersey Metropolitan Area from 1999 to...

  13. Optimization of emergy sustainability index for biodiesel supply network design

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Tan, Shiyu; Yang, Le

    2015-01-01

    sustainable design. In the proposed model, the emergy sustainability index of the whole biodiesel supply networks in a life cycle perspective is employed as the measure of the sustainability, and multiple feedstocks, multiple transport modes, multiple regions for biodiesel production and multiple distribution......Sustainability is an important and difficult consideration for the stakeholders/decision-makers when planning a biofuel supply network. In this paper, a Mixed-Integer Non-linear Programming (MINLP) model was developed with the aim to help the stakeholders/decision-maker to select the most...... centers can be considered. After describing the process and mathematic framework of the model, an illustrative case was studied and demonstrated that the proposed methodology is feasible for finding the most sustainable design and planning of biodiesel supply chains....

  14. Prince William Sound, Alaska ESI: INVERT (Invertebrates)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  15. Prince William Sound, Alaska ESI: BIRDS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  16. Toward a sociology of the Brazilian Corporate Sustainability Index?

    Directory of Open Access Journals (Sweden)

    Marina de Souza Sartore

    2011-12-01

    Full Text Available In order to collaborate with the academic debate about the social construction of economic tools, this article captures the social construction of the Corporate Sustainability Index (ISE of Bovespa. From an economic approach, the index is the numeric representation of financial profitability of sustainable enterprises, however, from that of sociology, the ISE is the window to apprehend the symbolic struggles that constitute the Brazilian market of Socially Responsible Investment (SRI. This idea is demonstrated by the recovery of the chronological history of the development of ISE which shows the elements of the arbitrary political process searching for its economic neutrality. This article emphasizes the need to explore sociologically the financial indexes as well as other classification tools of the economic world.

  17. Managed Sustainable Development Classification Of Resources And Goods amp Services Calculating Sustainable Growth Rate And The Sustainable Development Index

    Directory of Open Access Journals (Sweden)

    Shubham Saxena

    2017-05-01

    Full Text Available Macro-level manmade problems can often be best solved by understanding and manipulating the economics behind it. The world today is facing genuine problems of scarcity of resources and environmental amp ecological issues in view of intergenerational equity. The paper proposes a new approach of identification and classification of i Resources and ii Goods and services in the context of sustainable development. Every economy has ambitious economic growth aspirations which are often found conflicting with the commitments on natural resource conservation and climate change obligations. The proposed methodology is a reconciliation of the aspired economic growth of a region and the conservation of the resources and nature. The paper employs contribution of different types of goods and services in the gross domestic product GDP of a region to analyze sustainability of development. The important parameters that the paper establishes are Sustainability Ratio R Sustainable Growth Rate SG and the Sustainable Development Index SI. These parameters can be used to compare the sustainable development level of different regions. Ensuring natural resource and environmental sustainability will eventually ensure economic sustainability. The paper considers resource depletion concerns as well as the environmental pollutants biological risks carbon footprint warhead proliferation et cetera thereby ensuring all round sustainability from survival to economic end. The sustainability analysis is done for long periods such as 50 years 100 years et cetera. The index shows how sustainable the development of an economy is and how sustainability it is growing. The presently much revered GDP growth numbers are directionless it does not tell the type of growth an economy essentially has. The direction should be sustainability which the paper stresses upon. An illustration of sustainability analysis of India is also done. Such indices can help identifying sustainably developing

  18. A New Sustainability City Index Based on Intellectual Capital Approach

    Directory of Open Access Journals (Sweden)

    José-Luis Alfaro-Navarro

    2017-05-01

    Full Text Available Urban sustainability is a key factor that must be considered at the local level, however, there are few studies that consider sustainability using the triple bottom line approach and apply it to a large number of cities. In this paper, we develop a sustainability city index based on the triple bottom line using an intellectual capital approach that attempts to solve the negative aspects identified in the main indices proposed in the existing literature, such as the use of: subjective weightings, an arithmetic average or index that is not comparable. Here, we have used information available in the Urban Audit database for 2009. The results for 158 cities in 24 European countries show that the cities with the best positions are in the northern European countries. German cities occupied the best positions in the three dimensions of sustainability, albeit with a slightly worse performance in the social dimension. Moreover, the proposal index is consistent, without redundancy among the variables considered in the three dimensions.

  19. Is Corruption Bad for Environmental Sustainability? A Cross-National Analysis

    National Research Council Canada - National Science Library

    Morse, Stephen

    2006-01-01

    .... It does this by employing the Environmental Sustainability Index (ESI) and its component variables and indicators as promoted by the World Economic Forum and the Corruption Perception Index (CPI...

  20. Virginia ESI: Wetlands (Wetland Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the coastal wetlands for Virginia, classified according to the Environmental Sensitivity Index (ESI)...

  1. Screening Indicators for the Sustainable Child Development Index (SCDI

    Directory of Open Access Journals (Sweden)

    Ya-Ju Chang

    2017-03-01

    Full Text Available Since children are the key stakeholders supporting and being affected by sustainable development, the framework for the Sustainable Child Development Index (SCDI was proposed. It addresses social, economic and environmental dimensions of sustainable development by considering seven relevant themes of child development, i.e., health, education, safety, economic status, relationship, environmental aspects and participation. However, an indicator set for initiating the SCDI is still missing. In this study, indicators for the themes, subthemes and criteria of SCDI are identified from literature and then analyzed regarding data availability. Sixty-six indicators with statistical data covering at least 100 countries are selected as the indicator set for the SCDI. The results indicate that data availability is best for indicators describing the themes of health and education, and worst for indicators addressing the themes of relationship and participation. Furthermore, 21 subthemes and 50 criteria described by indicators with limited data availability are identified for future indicator and data development. By providing an initial indicator set and screening the indicators with regard to data availability, the practicality of the SCDI framework is expected. Furthermore, the indicator set can serve as a potential indicator pool for other child and sustainable development related studies.

  2. The effect of Dow Jones Sustainability Index on Consumer Sentiment Index

    Directory of Open Access Journals (Sweden)

    Nikolaos Sariannidis

    2017-03-01

    Full Text Available This study intends to investigate whether stock returns affect the consumer sentiment. In particular, socially responsible companies are incorporated in the sample in order to capture the specification of socially responsible investors. For this reason, the University of Michigan Consumer Confidence Index is used as a proxy for consumer confidence, while data from Dow Jones Sustainability Index US is employed as a proxy for socially responsible companies for the period 1999-2016. The generalized autoregressive conditional heteroskedasticity model applied and illustrated that stock returns affect positively the consumer confidence. The result has important implications for investors and policy makers.

  3. Puerto Rico ESI/RSI: REPTILES (Reptiles and Amphibians)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  4. Puerto Rico ESI/RSI: BENTHIC (Benthic Marine Habitats)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  5. Puerto Rico ESI and RSI: SHELFBND (Shelf Boundary)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  6. Puerto Rico ESI/RSI: FISH (Fish Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  7. Puerto Rico ESI/RSI: INVERT (Invertebrate Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  8. Puerto Rico ESI/RSI: INVERT (Invertebrate Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  9. Puerto Rico ESI/RSI: SOCECON (Socioeconomic Lines and Points)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  10. Puerto Rico ESI/RSI: T_MAMMAL (Terrestrial Mammals)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  11. Puerto Rico ESI/RSI: FISHL (Fish Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  12. Environmental Sensitivity Index (ESI) Atlas: Florida 1995-1997 maps in portable document format (pdf) and geographic information systems data (NODC Accession 0014187)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — ESI data characterize coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline...

  13. Environmental Sensitivity Index (ESI) Atlas: North Slope, Alaska, Volume 1, geographic information systems data, Volume 2, maps in portable document format (NODC Accession 0014928)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main...

  14. The Regional Index of Sustainable Economic Welfare for Flanders, Belgium

    Directory of Open Access Journals (Sweden)

    Brent Bleys

    2013-02-01

    Full Text Available In this paper, the regional Index of Sustainable Economic Welfare (ISEW is compiled for Flanders for the period 1990–2009. The ISEW is a measure of economic welfare in that it measures the contribution of a country’s or region’s economy to the overall level of well-being of its citizens. It does so by comparing the benefits and the costs of economic activities rather than simply looking at the market value of all final goods and services produced in an economy (Gross Domestic Product-GDP. The ISEW for Flanders shows that the per capita level of sustainable economic welfare in the region decreased between 1990 and 2009. The drop in the ISEW/capita is caused by a deterioration of the net international investment position of Belgium (which is divided over the different regions in the country on a per capita basis and by an increase in the income inequalities in Flanders. To a lesser extent, the increase of the environmental costs (climate change and the use of non-renewable energy resources also contributed to the decrease in the ISEW per capita. In the last four years of the study period, the level of sustainable economic welfare in the Flemish region started to rise again, even in 2008 and 2009 during the economic recession.

  15. Compendium of Environmental Sustainability Indicator Collections: 2004 Environmental Vulnerability Index (EVI)

    Data.gov (United States)

    National Aeronautics and Space Administration — The 2004 Environmental Vulnerability Index (EVI) portion of the Compendium of Environmental Sustainability Indicator Collections contains 111 variables for 235...

  16. Golfo de Fonseca ESI; Honduras and Nicaragua: HYDRO (Hydrology)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  17. Prince William Sound, Alaska ESI: SOCECON (Socioeconomic Points)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  18. Prince William Sound, Alaska ESI: NESTS (Bird Nests)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  19. Golfo de Fonseca ESI; Honduras and Nicaragua: SALTPOND

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  20. Prince William Sound, Alaska ESI: FISH (Fish Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  1. Golfo de Fonseca ESI; Honduras and Nicaragua: MGT (Management Areas)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  2. Golfo de Fonseca ESI; Honduras and Nicaragua: BIRDS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  3. Prince William Sound, Alaska ESI: FISH (Fish Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  4. Golfo de Fonseca ESI; Honduras and Nicaragua: INVERT (Invertebrates)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  5. Sustainable Product Indexing: Navigating the Challenge of Ecolabeling

    Directory of Open Access Journals (Sweden)

    Jay S. Golden

    2010-09-01

    Full Text Available There is growing scientific evidence that improving the sustainability of consumer products can lead to significant gains in global sustainability. Historically, environmental policy has been managed by bureaucracies and institutions in a mechanistic manner; this had led to many early successes. However, we believe that if policy concerning product sustainability is also managed in this way, negative unintended consequences are likely to occur. Thus, we propose a social-ecological systems approach to policy making concerning product sustainability that will lead to more rapid and meaningful progress toward improving the environmental and social impacts of consumer products.

  6. A volume change index for forest growth and sustainability

    Science.gov (United States)

    Paul Van Deusen; Francis Roesch

    2009-01-01

    A volume change index is suggested that is derived from growth components that can be estimated from remeasured plots. The new index incorporates more information than the traditional growth over removals, ratio. The new index directly indicates whether the standing volume will be increasing or decreasing if current conditions persist, whereas the ratio of...

  7. Environmental Sensitivity Index (ESI) Atlas: California; Northern (2008), Southern (2010), Central (2006), and San Francisco (1998) maps and geographic information systems data (NODC Accession 0052935)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the...

  8. Measurement of sustainability index among paper manufacturing plants

    Science.gov (United States)

    Sharathkumar Reddy, V.; Jayakrishna, K.; Lal, Babu

    2017-11-01

    The paper manufacturing companies are facing challenges to implement sustainable manufacturing into their products and processes. Paper manufacturing has remarked as an intensive consumer of natural raw materials, energy and a major source of multiple pollutants. Thus, evaluating the sustainable manufacturing in these companies has become a necessity. This paper proposes a set of Performance Indicators (PIs) for evaluating the sustainable manufacturing appropriate to the paper manufacturing companies based on the triple bottom line of sustainability. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision analysis method is applied to prioritize the performance indicators by summarizing the opinions of stakeholders. It is hoped that the proposed PIs enables and assists the paper manufacturing companies to achieve the higher performance in sustainable manufacturing and so as to increase their competitiveness.

  9. Louisiana ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for coastal...

  10. Western Alaska ESI: LAKES (Lake Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing lakes and land masses used in the creation of the Environmental Sensitivity Index (ESI) for Western Alaska. The...

  11. Maryland ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Maryland. The...

  12. Alabama ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Alabama. The...

  13. Hawaii ESI: HYDRO (Hydrology Polygons and Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector arcs and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Hawaii. The...

  14. Virginia ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Virginia. The...

  15. INSPIA project: European Index for Sustainable and Productive Agriculture

    Science.gov (United States)

    Triviño-Tarradas, Paula; Jesús González-Sánchez, Emilio; Gómez-Ariza, Manuel; Rass, Gerard; Gardette, Sophie; Whitmore, Gavin; Dyson, Jeremy

    2017-04-01

    The concept of sustainable development has evolved from a mere perception for the protection of the environment, to a holistic approach, seeking to preserve not only the environment, but also to achieve sustainability in economics and social wellbeing. Globally, there is a major challenge to face in the agricultural sector: to produce more food, feed and other raw materials to satisfy the increasing demand of a growing population, whilst also contributing to economic prosperity, climate change mitigation / adaptation, social wellbeing and preserving natural capital such as soil, water, biodiversity and other ecosystem services. Nowadays, conventional approaches to agriculture are under threat. A more productive and resource efficient agriculture that integrates natural resource protection into its approach will help to meet all these challenges, enabling us to have more of everything - more food, more feed, more non-food crops, more biodiversity and natural habitats - while also reducing greenhouse gas emissions. In this context, INSPIA is an innovative approach that has worked since 2013 towards demonstration that sustainable productive agriculture is possible thanks to the implementation of a host of best management practices (BMPs) capable of delivering the above achievements. The purpose on INSPIA is to make visible with European decision makers that a sustainable and productive agricultural model exists in a small scale in Europe and that wider dissemination is possible with enabling legislation. INSPIA is demonstrating sustainable agriculture through the implementation of BMPs and the measurement and monitoring of a set of defined indicators (economic, social and environmental ones). INSPIA promotes sustainable practices that protect biodiversity, soils and water and contribute towards maintaining ecosystems services. This holistic sustainable system of productive agriculture is based on the combination of Conservation Agriculture (CA) and Integrated Pest

  16. THE REGIONAL SUSTAINABLE DEVELOPMENT INDEX IN SOUTHERN BRAZIL

    Directory of Open Access Journals (Sweden)

    Tatiani Sobrinho Del Bianco

    2016-09-01

    Full Text Available The sustainability indicators provide elements that facilitate the assessment of progress in the regions and also the fulfillment of the objectives / goals to produce human well-being both in line with a sustainable ecosystem. Thus, this paper analyzes the Sustainable Regional Development of the Southern region of Brazil, from the preparation of Sustainable Development Indicator (IDRS, which in addition to economic and social variables incorporates environmental variables. In 2010, there were 99.2% of the municipalities in transition and 0.67% in laggard stage. Thus, it is concluded that only 0:08% of the municipalities studied were classified as advanced stage in both years analyzed. The IDRS of southern Brazil was a result of the performance of the variable formal employment sector electricity consumption, residential energy consumption, expenditure on health, education, sports, leisure, welfare and assistance, properties and areas of natural and artificial forests, green area per inhabitant and risk of housing. The result of IDRS in southern Brazil showed that in 2000 there were 95.5% of the municipalities in transition and 4.45% in laggard stage. Thus, these data represent an optimized tool for the design of public policies and actions for sustainable development in regional, state and municipal.

  17. Puerto Rico ESI/RSI: M_MAMMAL (Marine Mammal Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine...

  18. An Index to Measure Sustainability of a Business Project in the Construction Industry: Lithuanian Case

    Directory of Open Access Journals (Sweden)

    Nomeda Dobrovolskienė

    2015-12-01

    Full Text Available The continuous growth of the world population, resource scarcity and the threat of climate change pose numerous environmental and social problems to the world. Therefore, much hope is put in the concept of sustainability. Companies are increasingly coming under strong global pressure to incorporate sustainability considerations into their project decision-making process. Business projects in the construction industry are among the most important, as this sector is one of the largest sectors and of major importance for the national economy and therefore has a huge impact on the environment and society. Thus, we have to explore ways to integrate sustainability into the management of those projects. This paper presents a composite sustainability index of a project (CSIP which has been created following a review of existing literature and a pilot research study. A pilot research study was conducted in the Lithuanian construction industry between January 2015 and June 2015. Sustainability criteria were chosen and grouped on the basis of the analysis of the literature and different standards relating to sustainability applicable in the construction industry. A survey was used to select and rank the most important sustainability criteria. The index was constructed using multi-criteria decision-making methods. The results of the pilot study revealed that practitioners in the Lithuanian construction sector attach most importance to 15 sustainability criteria. A composite sustainability index of a project combining all these criteria may be useful in assessing the sustainability of a business project and making decisions regarding project portfolio selection and financial resource allocation. When addressing the issue of financial resource allocation in a project portfolio, the decision-maker could take into account not only the project’s return and risk, but also its sustainability. The understanding of this study should enable companies to execute

  19. Assessment of port sustainability through synthetic indexes. Application to the Spanish case.

    Science.gov (United States)

    Laxe, Fernando González; Bermúdez, Federico Martín; Palmero, Federico Martín; Novo-Corti, Isabel

    2017-06-15

    In general, Synthetic Indexes of sustainability have been applied to specific countries and regions. With some variations, the ones considered simple, such as the case of the Ecological Footprint (EF), have been applied to port areas. The same has not happened with those of a multidimensional nature (Global Synthetics) that still have a minimal and partial presence in the analysis of port sustainability. Understanding that this type of index represents an interesting and novel avenue of research applied to port systems, this contribution analyses and ranks a sample of 16 Spanish Port Authorities that group 23 ports of general interest using a Global Synthetic Index of Sustainability (developed using the four dimensions of sustainable development: economic, institutional, environmental and social). Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Sustainability assessment of roadway projects under uncertainty using Green Proforma: An index-based approach

    Directory of Open Access Journals (Sweden)

    Adil Umer

    2016-12-01

    Full Text Available Growing environmental and socioeconomic concerns due to rapid urbanization, population growth and climate change impacts have motivated decision-makers to incorporate sustainable best practices for transportation infrastructure development and management. A “sustainable” transportation infrastructure implies that all the sustainability objectives (i.e., mobility, safety, resource efficiency, economy, ecological protection, environmental quality are adequately met during the infrastructure life cycle. State-of-the-art sustainability rating tools contain the best practices for the sustainability assessment of infrastructure projects. Generally, the existing rating tools are not well equipped to handle uncertainties associated with data limitations and expert opinion and cannot effectively adapt to site specific constraints for reliable sustainability assessment. This paper presents the development of a customizable tool, called “Green Proforma” for the sustainability assessment of roadway projects under uncertainties. For evaluating how well the project meets sustainability objectives, a hierarchical framework is used to develop the sustainability objective indices by aggregating the selected indicators with the help of fuzzy synthetic evaluation technique. These indices are further aggregated to attain an overall sustainability index for a roadway project. To facilitate the decision makers, a “Roadway Project Sustainometer” has been developed to illustrate how well the roadway project is meeting its sustainability objectives. By linking the sustainability objectives to measurable indicators, the “Green Proforma” paves the way for a practical approach in sustainable planning and management of roadway projects.

  1. Comparative assessment of smallholder sustainability using an agricultural sustainability framework and a yield based index insurance: A case study

    Science.gov (United States)

    Moshtaghi, Mehrdad; Adla, Soham; Pande, Saket; Disse, Markus; Savenije, Hubert

    2017-04-01

    The concept of sustainability is central to smallholder agriculture as subsistence farming is constantly impacted by livelihood insecurity and is constrained by access to capital, water technology and alternative employment opportunities. This study compares two approaches which aim at quantifying smallholder sustainability but differ in their underlying principles, methodologies for assessment and reporting, and applications. The yield index based insurance can protect the smallholder agriculture and help it to more economic sustainability because the income of smallholder depends on selling crops and this insurance scheme is based on crop yields. In this research, the trigger of this insurance sets on the basis of yields in previous years. The crop yields are calculated every year through socio-hydrology modeling and smallholder can get indemnity when crop yields are lower than average of previous five years (a crop failure). The FAO Sustainability Assessment of Food and Agriculture (SAFA) is an inclusive and comprehensive framework for sustainability assessment in the food and agricultural sector. It follows the UN definition of the 4 dimensions of sustainability (good governance, environmental integrity, economic resilience and social well-being) and includes 21 themes and 58 sub-themes with a multi-indicator approach. The direct sustainability corresponding to the FAO SAFA economic resilience dimension is compared with the indirect notion of sustainability derived from the yield based index insurance. A semi-synthetic comparison is conducted to understand the differences in the underlying principles, methodologies and application of the two approaches. Both approaches are applied to data from smallholder regions of Marathwada in Maharashtra (India) which experienced a severe rise in farmer suicides in the 2000s which has been attributed to a combination of socio-hydrological factors.

  2. Southeast Alaska ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of the U.S. Geological Survey (USGS) 1:63,360 topographic maps and other map and digital data...

  3. Is the hydrogen production from biomass technology really sustainable? Answer by Life Cycle Emergy Analysis

    DEFF Research Database (Denmark)

    Liang, Hanwei; Ren, Jingzheng; Dong, Liang

    2016-01-01

    .8303 and the emergy index of sustainability (ESI) which is a measure of the sustainability of a product, a process or a service is 0.1996. Therefore, it is not sustainable in the long term perspective for hydrogen production from corn stalks by supercritical water gasification in the current situation of Huaibei city...... and utilization efficiency of corn stalks....

  4. Assessing sustainability of building materials in developing countries: the sustainable building materials index (SBMI)

    CSIR Research Space (South Africa)

    Gibberd, Jeremy T

    2014-10-01

    Full Text Available Measuring sustainability of building materials is complex. Despite this a wide range of different methodologies and systems have been developed. Most of these focus on environmental issues and are based on Life Cycle Assessment (LCA), or similar...

  5. Index of tobacco control sustainability (ITCS): a tool to measure the sustainability of national tobacco control programmes.

    Science.gov (United States)

    Jackson-Morris, Angela; Latif, Ehsan

    2017-03-01

    To produce a tool to assess and guide sustainability of national tobacco control programmes. A two-stage process adapting the Delphi and Nominal group techniques. A series of indicators of tobacco control sustainability were identified in grantee/country advisor reports to The International Union Against Tuberculosis and Lung Disease under the Bloomberg Initiative to Reduce Tobacco Control (2007-2015). Focus groups and key informant interviews in seven low and middle-income countries (52 government and civil society participants) provided consensus ratings of the indicators' relative importance. Data were reviewed and the indicators were accorded relative weightings to produce the 'Index of Tobacco Control Sustainability' (ITCS). All 31 indicators were considered 'Critical' or 'Important' by the great majority of participants. There was consensus that a tool to measure progress towards tobacco control sustainability was important. The most critical indicators related to financial policies and allocations, a national law, a dedicated national tobacco control unit and civil society tobacco control network, a national policy against tobacco industry 'Corporate Social Responsibility' (CSR), national mortality and morbidity data, and national policy evaluation mechanisms. The 31 indicators were agreed to be 'critical' or 'important' factors for tobacco control sustainability. The Index comprises the weighted indicators as a tool to identify aspects of national tobacco control programmes requiring further development to augment their sustainability and to measure and compare progress over time. The next step is to apply the ITCS and produce tobacco control sustainability assessments. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  6. Magic hypercube and index of welfare and sustainability

    Directory of Open Access Journals (Sweden)

    Neantro Saavedra-Rivano

    2017-01-01

    Full Text Available This paper systematically surveys the use of different approaches for the magic square (MS as an indicator of welfare, a formal system of necessary relations to deal with conflicts of socioeconomic objectives. The starting point is the article of Kaldor (1971 followed by contributions by the OECD from the 1970’s resulting in a diagram which allowed a visual diagnosis of macroeconomic performance. Such representations were re-examined by Medrano-B and Teixeira (2013, who introduced a required normalization of the variables. Here, we show that this approach was marred by an oversight, namely the issue of the ordering of variables along the axes. In order to avoid this problem, we propose the use of a new mathematical approach involving a Hypercube Graph, which we call magic hypercube, which produces the same index, regardless the ordering of the variables. An application of the new concept is offered using economic data from Brazil and Chile.

  7. Visualization of a City Sustainability Index (CSI: Towards Transdisciplinary Approaches Involving Multiple Stakeholders

    Directory of Open Access Journals (Sweden)

    Koichiro Mori

    2015-09-01

    Full Text Available We have developed a visualized 3-D model of a City Sustainability Index (CSI based on our original concept of city sustainability in which a sustainable city is defined as one that maximizes socio-economic benefits while meeting constraint conditions of the environment and socio-economic equity on a permanent basis. The CSI is based on constraint and maximization indicators. Constraint indicators assess whether a city meets the necessary minimum conditions for city sustainability. Maximization indicators measure the benefits that a city generates in socio-economic aspects. When used in the policy-making process, the choice of constraint indicators should be implemented using a top-down approach. In contrast, a bottom-up approach is more suitable for defining maximization indicators because this technique involves multiple stakeholders (in a transdisciplinary approach. Using different materials of various colors, shapes, sizes, we designed and constructed the visualized physical model of the CSI to help people evaluate and compare the performance of different cities in terms of sustainability. The visualized model of the CSI can convey complicated information in a simple and straightforward manner to diverse stakeholders so that the sustainability analysis can be understood intuitively by ordinary citizens as well as experts. Thus, the CSI model helps stakeholders to develop critical thinking about city sustainability and enables policymakers to make informed decisions for sustainability through a transdisciplinary approach.

  8. Golfo de Fonseca ESI; Honduras and Nicaragua: T_MAMMAL (Terrestrial Mammals)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  9. U.S. Virgin Islands and British Virgin Islands ESI: BIRDS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  10. U.S. Virgin Islands and British Virgin Islands ESI: SOCECON (Socioeconomic Lines and Points)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  11. U.S. Virgin Islands and British Virgin Islands ESI: WETLANDS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  12. U.S. Virgin Islands and British Virgin Islands ESI: BENTHIC (Benthic Marine Habitats)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  13. U.S. Virgin Islands and British Virgin Islands ESI: HABITATS

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  14. U.S. Virgin Islands and British Virgin Islands ESI: M_MAMMAL (Marine Mammal Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  15. Golfo de Fonseca ESI; Honduras and Nicaragua: M_MAMMAL (Marine Mammals)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  16. Golfo de Fonseca ESI; Honduras and Nicaragua: REPTILES (Reptiles and Amphibians)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their...

  17. U.S. Virgin Islands and British Virgin Islands ESI: FISH (Fish Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  18. U.S. Virgin Islands and British Virgin Islands ESI: REPTILES (Reptiles and Amphibians)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  19. Prince William Sound, Alaska ESI: M_MAMPT (Marine Mammal Points)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by...

  20. U.S. Virgin Islands and British Virgin Islands ESI: FISHL (Fish Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  1. U.S. Virgin Islands and British Virgin Islands ESI: MGT (Management Areas)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  2. U.S. Virgin Islands and British Virgin Islands ESI: INVERT (Invertebrate Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  3. U.S. Virgin Islands and British Virgin Islands ESI: T_MAMMAL (Terrestrial Mammals)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their...

  4. Business risk assessment of the companies on the Mexican Stock Exchange’s sustainable index

    Directory of Open Access Journals (Sweden)

    José Antonio Morales Castro

    2014-12-01

    Full Text Available (Received: 2014/10/27 - Accepted: 2014/12/15This work evaluated the business risk change of 20 companies included on the sustainable index of the Mexican Stock Exchange (BMV. The unlevered beta coefficient was used for this analysis. Two periods were compared: the one before, and the one after including the companies on the index. For each of the 20 companies it was used financial information, stocks closing prices and the stock market index value, over a period of 234 weeks. Then, considering the two periods, the statistical difference between the unlevered beta coefficient averages was calculated. Finally, a hypothesis proof was made to evaluate the business risk change. It was found that for 12 out of the 20 companies, the unlevered beta coefficient suffered a reduction. The findings suggest that it is not enough for the companies to certify as sustainable in order to reduce its business risk.

  5. THE RELATIONSHIP BETWEEN BUSINESS GIFTS ON CORPORATE SUSTAINABILITY INDEX AS ISO 14001 IN BM&FBOVESPA

    Directory of Open Access Journals (Sweden)

    Daniel Ferreira Santos

    2013-12-01

    Full Text Available The data published by BM&FBOVESPA consist of an important source for the market, with its high number of trades, and also trading stocks of large companies, and based on that the aim of this paper is to make a relationship between two indices of this important institution for measure the level of concern for environmental issues. A survey was conducted in the Bovespa Index to identify how many companies are listed on the Bovespa Index have environmental certification ISO14001, and after this survey sought to discover which of those possessing such certification organizations were listed in the Corporate Sustainability Index. The methodology used was exploratory research, is also classified as descriptive and transversal with respect to the time dimension. Among the main results we found that the 66 companies listed on the Bovespa Index, 53 of them had the ISO14001 certification, and that this amount 29 of them were present at the ISE.

  6. INCREASING RELIABILITY OF INDEXING SUSTAINABLE DEVELOPMENT USING MULTIVARIANCE: CALCULATION AND MAPPING

    Directory of Open Access Journals (Sweden)

    V. S. Tikunov

    2016-01-01

    Full Text Available This article provides an overview of existing techniques used to improve the reliability of classification. In particular, it focuses on the multivariance as a simple and reliable method of increasing the reliability of estimates. The use of multivariance aythorth consider on an example of the Index of the ecological situation of Russian Regions, that has been designed as part of complex estimation of sustainable development. The index includes three indicators: damage caused by air pollution, amount of discharged polluted wastewater and environmental protection expenditures.

  7. Sustainability Index Evaluation of the Rainwater Harvesting System in Six US Urban Cities

    Directory of Open Access Journals (Sweden)

    Daeryong Park

    2018-01-01

    Full Text Available This study investigated the sustainability of the rainwater harvesting system (RWHS by analyzing six urban city sites with different rainfall statistics in the United States. We developed a new RWHS performance model by modifying a spreadsheet-based storage, treatment, and overflow runoff model (SS STORM and verified its performance by comparing with another analytical RWHS model. The sustainability index (SI evaluation method was used for a reservoir system and applied to the RWHS, employing modified resilience and vulnerability evaluation methods due to the different characteristics of a reservoir and the RWHS. The performance of modified SS STORM is very similar to that of the analytical method, except in Los Angeles, which is characterized by long inter-event times and low rainfall event depths due to low annual rainfall. The sustainability indices were successfully evaluated depending on both RWHS size and water demand and vary over a wide range as annual rainfall increases. This study proposes a new RWHS performance model and sustainability index evaluation method. Further study should confirm the proposed approach in regions with widely different rainfall characteristics.

  8. Assessing Regional Sustainability Using a Model of Coordinated Development Index: A Case Study of Mainland China

    Directory of Open Access Journals (Sweden)

    Qing Yang

    2014-12-01

    Full Text Available From a holistic view, this paper addresses a perspective of coordinated development of economy, society, and environment for regional sustainability assessment. Firstly, a comprehensive indicator system for co-evaluating the level of economic, social, and environmental subsystems is presented based on a holistic understanding of regional sustainability. Then, a coordinated development index model focusing on the level of coordination among the subsystems as well as their comprehensive development level is established. Furthermore, an empirical study of all the provinces and municipalities is conducted by collecting the panel data from 2004 to 2010. The result shows that: (1 the coordinated developments of the most developed and the most underdeveloped regions stay stable while the regions with medium development level possess more fluctuant trends during the study years; (2 regional disparities are indicated according to the grading of CDI (the coordinated development index, which are further analyzed to be related to the local economic development patterns; (3 the conditions and causes of economic, social, and environmental development in real situations under different grades of CDI are discussed through detailed case studies of typical regions, which indicate specific suggestions of sustainable development for regions in the same pattern.

  9. Southeast Alaska ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Southeast...

  10. American Samoa ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for American...

  11. North Slope, Alaska ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for the North...

  12. Columbia River ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Columbia...

  13. Bristol Bay, Alaska Subarea ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for the Bristol...

  14. Columbia River ESI: NWI (National Wetlands Inventory - Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the wetlands of Columbia River classified according to the Environmental Sensitivity Index (ESI) classification...

  15. Western Alaska ESI: STREAMS (River and Stream Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines representing inland linear hydrography features used in the creation of the Environmental Sensitivity Index (ESI) for Western...

  16. “BRAINSTORM” OF SUSTAINABLE DEVELOPMENT INDEXES AND INDICATORS (ON THE EXAMPLE OF THE VOLGA BASIN

    Directory of Open Access Journals (Sweden)

    N. V. Kostina

    2016-01-01

    Full Text Available Aim of the research – development of management strategies ensuring sustainable development of the territories of the Volga river basin and its administrative units.Methods. In the research we used various methods of mathematical statistics, systematic principles. We propose the conception of "brainstorming" for the assessment of the territory using indices and indicators of sustainable development.Results. We selected nine indicators and indices. We have conducted a correlation analysis of the selected indices and indicators of sustainable development, all of which reflect the state of social, ecological and economic systems. For an integrated assessment of the two objects one introduced the "critical" and the "reference" state and fixed values for each index and indicator under the review. Factor analysis in the space of two principal components is conducted as well as one carried out the calculation of generalized desirability function for each administrative unit of the Volga river basin. "Brainstorm", taking into consideration indices and indicators of sustainable development, showed similarities in the administrative units of the Volga river basin, which primarily reflects approximately the same socio-ecological-economic development, defined by a single policy and economic decisions.Conclusion. The analysis revealed different management strategies of sustainable development of regions. The first group (strategy A includes the Republic of Tatarstan, and Chuvashia, Moscow and Samara regions, which should pay special attention to investments in improving the "life quality" by stabilizing and reducing the degree of anthropogenic load on the territory. The second group (strategy B: Astrakhan, Volgograd, Kirov, Tver and Kostroma and Perm regions - it is advisable to do finance and investment of resources in public education, increase the average lifetime, increase the incomes of the population. For the remaining areas optimally

  17. The Index for Sustainable Economic Welfare for Flanders, Belgium, 1990-2009; De Index voor Duurzame Economische Welvaart (ISEW) voor Vlaanderen, 1990-2009

    Energy Technology Data Exchange (ETDEWEB)

    Bleys, B. [Geassocieerde Faculteit Handelswetenschappen en Bestuurskunde, Hogeschool Gent, Associatie Universiteit Gent, Gent (Belgium)

    2012-05-15

    In this report the Index of Sustainable Economic Welfare (ISEW) is compiled for Flanders for the period 1990-2009. The index is a measure of economic welfare in that it measures the contribution of a country's or region's economy to the overall level of well-being of its citizens. In this regard, the ISEW can be regarded as an indicator for the economic dimension of well-being [Dutch] In deze studie wordt de Index voor Duurzame Economische Welvaart (ISEW - Index of Sustainable Economic Welfare) berekend voor Vlaanderen voor de periode 1990-2009. Deze index is een maatstaf voor economische welvaart en meet de bijdrage van het economische systeem van een land of regio tot het algemene welzijn van haar bevolking. De ISEW kan dus gezien worden als een indicator voor de economische dimensie van welzijn.

  18. Construction of the Classification and Grading Index System of Cultivated Land Based on the Viewpoint of Sustainable Development

    OpenAIRE

    Cui, Qian; Wu, Yu-Ling; Li, Qing

    2010-01-01

    In order to objectively and reasonably evaluate the actual and potential value of cultivated land, both social and ecological values are introduced into the classification and grading index system of cultivated land based on the viewpoint of sustainable development, after considering the natural and economic values of cultivated land. Index system construction of the sustainable utilization of cultivated land should follow the principles of economic viability, social acceptability, and ecolog...

  19. National baselines for the Sustainable Development Goals assessed in the SDG Index and Dashboards

    Science.gov (United States)

    Schmidt-Traub, Guido; Kroll, Christian; Teksoz, Katerina; Durand-Delacre, David; Sachs, Jeffrey D.

    2017-08-01

    The Sustainable Development Goals (SDGs) -- agreed in 2015 by all 193 member states of the United Nations and complemented by commitments made in the Paris Agreement -- map out a broad spectrum of economic, social and environmental objectives to be achieved by 2030. Reaching these goals will require deep transformations in every country, as well as major efforts in monitoring and measuring progress. Here we introduce the SDG Index and Dashboards as analytical tools for assessing countries' baselines for the SDGs that can be applied by researchers in the cross-disciplinary analyses required for implementation. The Index and Dashboards synthesize available country-level data for all 17 goals, and for each country estimate the size of the gap towards achieving the SDGs. They will be updated annually. All 149 countries for which sufficient data is available face significant challenges in achieving the goals, and many countries' development strategies are imbalanced across the economic, social and environmental priorities. We illustrate the analytical value of the index by examining its relationship with other widely used development indices and by showing how it accounts for cross-national differences in subjective well-being. Given significant data gaps, scope and coverage of the Index and Dashboards are limited, but we suggest that these analyses represent a starting point for a comprehensive assessment of national SDG baselines and can help policymakers determine priorities for early action and monitor progress. The tools also identify data gaps that must be closed for SDG monitoring.

  20. Do Forwarders Improve Sustainability Efficiency? Evidence from a European DEA Malmquist Index Calculation

    Directory of Open Access Journals (Sweden)

    Matthias Klumpp

    2017-05-01

    Full Text Available Sustainability performance and efficiency is an important topic in transportation and for forwarders. This is shown, for example, by the fact that major logistics service providers LSP publish sustainability reports, often within the annual legal business report. However, in depth research is missing regarding the efficiency of forwarders regarding the established triple bottom line approach for sustainability, including economic, social, and ecology performance areas. This is especially true for a dynamic time-series perspective, as usually only static analyses for one point in time are presented (in most cases single business years. Therefore, the operations research technique of a data envelopment analysis (DEA Malmquist index calculation is used in order to provide a longitudinal calculation of efficiency, incorporating multiple objectives regarding the triple bottom line approach for European forwarders. Several indicators are tested, including total revenues and assets as input types, profit (EBIT and dividend volume (economic dimension, employment and gender equality in management (social, and carbon-equivalent emissions (environmental as output types.

  1. Developing Index for Sustainable Water Use with Environmental and Socioeconomic Indicators: an Application for Hydrologic Units in South Korea

    Science.gov (United States)

    Kim, Y.; Kong, I.

    2014-12-01

    This study aimed to develop index for sustainable water use over hydrologic units in South Korea. We identified major indicators for sustainable water use with considering multiple aspects of water use: not only physical, biological and chemical aspects but also social and environmental aspects. Furthermore, stressors for sustainable water use were of major interests because they were straightforward and easy to measure in comparison to indicators representing the state- and impact-related indictors. As a result, sustainability index was constructed with a theme-based hierarchical approach. It is comprised of two components of stress and response to sustainable water use and each component includes five sub-components of human water requirements, water quality requirements, 4) h, equitable water use and others. Then for each sub-component, multiple indicators, i.e., proxy variables were identified. For drainage basins in South Korea, standard hydrologic units with their total number of about 100 across the country, total 19 indicators were identified and their data from the various sources such as remote-sensing based datasets and survey-based national datasets were collected for current times. Then they were integrated to estimate the sustainability index with a multi-criteria decision making (MCDM) approach. At last, we evaluated sustainability index with focusing on the spatial variability of indices and indicators and the sensitivity of indices to individual indicators to better understand the sustainability of water use in Korea. In addition, we derived the indices with different MCDM methods to evaluate the sensitivity of index to various mathematical techniques.

  2. Measuring environmental sustainability in agriculture: A composite environmental impact index approach.

    Science.gov (United States)

    Sabiha, Noor-E; Salim, Ruhul; Rahman, Sanzidur; Rola-Rubzen, Maria Fay

    2016-01-15

    The present study develops a composite environmental impact index (CEII) to evaluate the extent of environmental degradation in agriculture after successfully validating its flexibility, applicability and relevance as a tool. The CEII tool is then applied to empirically measure the extent of environmental impacts of High Yield Variety (HYV) rice cultivation in three districts of north-western Bangladesh for a single crop year (October, 2012-September, 2013). Results reveal that 27 to 69 per cent of the theoretical maximum level of environmental damage is created due to HYV rice cultivation with significant regional variations in the CEII scores, implying that policy interventions are required in environmentally critical areas in order to sustain agriculture in Bangladesh. Copyright © 2015 Elsevier Ltd. All rights reserved.

  3. North Atlantic Environmental Sensitivity Index (ESI) Massachusetts (2001), Delaware Bay (1996), New Hampshire (2004), Hudson River (2006), and Rhode Island, Connecticut, NY/NJ Metro Area (2001) maps and geographic information systems data (NODC Accession 0020555)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the...

  4. The Assessment of Sustainability Indexes and Climate Change Impacts on Integrated Water Resource Management

    Directory of Open Access Journals (Sweden)

    Joel Hernández-Bedolla

    2017-03-01

    Full Text Available Integrated water resource management (IWRM is facing great challenges due to growing uncertainties caused by climate change (CC, rapid socio-economic and technological changes, and population growth. In the present study, we have developed different indices to assess the availability of water using an IWRM approach. These indices evaluate supply to demands, surface availability, groundwater availability, reservoirs, and environmental flow. Moreover, reliability, resilience, and vulnerability were determined. Sustainability index (SI and sustainability index by groups (SG were determined based on the five indices (all indices vary from 0 to 1. The impacts of climate change affect surface and groundwater availability, as do the agricultural, urban, and industrial requirements on the different supplies. We used the generalized AQUATOOL Decision Support System Shell (DSSS to evaluate the IWRM in the Rio Grande Basin (Morelia, México. Various emission scenarios from representative concentration pathways (RCPs were applied to the basin for the years 2015–2039 and 2075–2099. The results indicate increases in agricultural and urban demand, and decreases in surface runoff, as well as groundwater recharge. The proposed indices are useful for different approaches (decision-makers, water policy, and drought risks, among others. CC significantly affects the different proposed indices and indicates a decrease of the SI, SG1, and SG2 (i.e., less availability. For example, we found that SG2 decreased from 0.812 to 0.195 under the RCP 8.5 2075–2099 scenario, and SG2 equal to 0.252 and 0.326 for the RCP 6.0 2075–2099 and RCP 4.5 2070–2099 scenarios, respectively (values close to 0 indicate worst drought conditions.

  5. A Takagi-Sugeno Fuzzy Inference System for Developing a Sustainability Index of Biomass

    Directory of Open Access Journals (Sweden)

    Fausto Cavallaro

    2015-09-01

    Full Text Available One aspect of the use of biomass for energy purposes which remains controversial concerns their full environmental sustainability. Considering the crucial importance of this problem, numerous authors have carried out evaluations of the environmental impact of the various types of biomass by means of several approaches. Although some of these methods are excellent environmental evaluation tools, they are unfortunately unable to manage uncertain input data. Instead, fuzzy-set based methods have proven to be able to deal with uncertainty in environmental topics. The original contributions proposed by fuzzy logic relate, on the one hand, to the representation of uncertain and vague information, and, on the other, to handling such information using fuzzy rules. A fuzzy inference system (FIS constitutes the practice of framing mapping from the input to an output using fuzzy logic. In this paper, we propose an application of Takagi-Sugeno fuzzy inference modelling to build a synthetic index to assess the sustainability of production of the biomass for energy purposes.

  6. Energy consumption, greenhouse gas emissions and assessment of sustainability index in corn agroecosystems of Iran

    Energy Technology Data Exchange (ETDEWEB)

    Yousefi, Mohammad, E-mail: m.yousefi@pgs.razi.ac.ir [Department of Agronomy and Plant Breeding, Campus of Agriculture and Natural Resources, Razi University, Kermanshah (Iran, Islamic Republic of); Damghani, Abdolmajid Mahdavi [Departments of Agroecology, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran (Iran, Islamic Republic of); Khoramivafa, Mahmud [Department of Agronomy and Plant Breeding, Campus of Agriculture and Natural Resources, Razi University, Kermanshah (Iran, Islamic Republic of)

    2014-09-15

    The objectives of this study were to assess the energy flow, greenhouse gas (GHG) emission, global warming potential (GWP) and sustainability of corn production systems in Kermanshah province, western Iran. The data were collected from 70 corn agroecosystems which were selected based on randomly sampled method in the summer of 2011. The results indicated that total input and output energy were 50,485 and 134,946 MJ ha{sup −1}, respectively. The highest share of total input energy in corn production systems was recorded for N fertilizer, electricity power and diesel fuel with 35, 25 and 20%, respectively. Energy use efficiency and energy productivity were 2.67 and 0.18 kg MJ{sup −1}, respectively. Also agrochemical energy ratio was estimated as 40%. Applying chemical inputs produced the following emissions of greenhouse gases: 2994.66 kg CO{sub 2,} 31.58 kg N{sub 2}O and 3.82 kg CH{sub 4} per hectare{sub .} Hence, total GWP was 12,864.84 kg Co{sub 2}eq ha{sup −1} in corn production systems. In terms of CO{sub 2} equivalents 23% of the GWPs came from CO{sub 2}, 76% from N{sub 2}O, and 1% from CH{sub 4}. In this study input and output C equivalents per total GHG and Biomass production were 3508.59 and 10,696.34 kg C ha{sup −1}. Net carbon and sustainability indexes in corn production systems were 7187.75 kg C ha{sup −1} and 2.05. Accordingly, efficient use of energy is essential to reduce the greenhouse gas emissions and environmental impact in corn agroecosystems. - Highlights: • Increasing of energy consumption leaded to decreasing energy use efficiency in corn agroecosystems. • Total greenhouse gas (GHG) emission as CO{sub 2}, N{sub 2}O and CH{sub 4} in corn production systems were 2994.66, 31.58 and 3.82 kg ha{sup -1}, respectively. • Global warming potential (GWP) was 12864.84 kg CO{sub 2}eq ha{sup -1} in corn production systems. • Sustainability index in corn production systems was 2.05. • Reducing use of chemicals fertilizer and diesel fuel

  7. Can human resources induce sustainability in business?: Modeling, testing and correlating HR index and company's business results

    Directory of Open Access Journals (Sweden)

    Zubović Jovan

    2015-01-01

    Full Text Available Abstract In this paper the authors analyze the impact of the composite human resource index on sustainable growth in a specific business sector in a transition country. Sustainability of country's economy is growingly relying on the knowledge economy which has been implemented in strategies of sustainable development throughout Europe. The knowledge economy is mostly based on human resources and the way they are organized and managed in the companies actively operating in competitive markets. In order to confirm importance of the human resources (HR index, results were tested by means of modeling, measuring and correlating the HR index with business results at micro level. The tests were conducted on the data from the survey in Serbian meat processing industry. The results were then compared with the results from the survey conducted in a financial industry. Moreover, a model was made that could be applicable in all countries that do not have available official statistic data on the level of investments in human resources. The focus was on determining the correlation direction, and hence creating a research model applicable in all business sectors. It has been found that a significant one-way correlation exists between business performance and increased HR index. In that way it has been confirmed that in Serbian economy that has recorded global decrease during transition, certain business sectors, and especially companies with high levels of investments in improving its HR index record above average and sustainable growth.

  8. Asset sustainability index : quick guide : proposed metrics for the long-term financial sustainability of highway networks.

    Science.gov (United States)

    2013-04-01

    "This report provides a Quick Guide to the concept of asset sustainability metrics. Such metrics address the long-term performance of highway assets based upon expected expenditure levels. : It examines how such metrics are used in Australia, Britain...

  9. Energy consumption, greenhouse gas emissions and assessment of sustainability index in corn agroecosystems of Iran.

    Science.gov (United States)

    Yousefi, Mohammad; Damghani, Abdolmajid Mahdavi; Khoramivafa, Mahmud

    2014-09-15

    The objectives of this study were to assess the energy flow, greenhouse gas (GHG) emission, global warming potential (GWP) and sustainability of corn production systems in Kermanshah province, western Iran. The data were collected from 70 corn agroecosystems which were selected based on randomly sampled method in the summer of 2011. The results indicated that total input and output energy were 50,485 and 134,946 MJ ha(-1), respectively. The highest share of total input energy in corn production systems was recorded for N fertilizer, electricity power and diesel fuel with 35, 25 and 20%, respectively. Energy use efficiency and energy productivity were 2.67 and 0.18 kg MJ(-1), respectively. Also agrochemical energy ratio was estimated as 40%. Applying chemical inputs produced the following emissions of greenhouse gases: 2994.66 kg CO2, 31.58 kg N2O and 3.82 kg CH4 per hectare. Hence, total GWP was 12,864.84 kg Co2eq ha(-1) in corn production systems. In terms of CO2 equivalents 23% of the GWPs came from CO2, 76% from N2O, and 1% from CH4. In this study input and output C equivalents per total GHG and Biomass production were 3508.59 and 10,696.34 kg Cha(-1). Net carbon and sustainability indexes in corn production systems were 7187.75 kg Cha(-1) and 2.05. Accordingly, efficient use of energy is essential to reduce the greenhouse gas emissions and environmental impact in corn agroecosystems. Copyright © 2014 Elsevier B.V. All rights reserved.

  10. Environmental Sensitivity Index (ESI) Shoreline REST Services

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats for the U.S. and its territories, classified according to the...

  11. Evaluating climate variables, indexes and thresholds governing Arctic urban sustainability: case study of Russian permafrost regions

    Science.gov (United States)

    Anisimov, O. A.; Kokorev, V.

    2013-12-01

    Addressing Arctic urban sustainability today forces planners to deal with the complex interplay of multiple factors, including governance and economic development, demography and migration, environmental changes and land use, changes in the ecosystems and their services, and climate change. While the latter can be seen as a factor that exacerbates the existing vulnerabilities to other stressors, changes in temperature, precipitation, snow, river and lake ice, and the hydrological regime also have direct implications for the cities in the North. Climate change leads to reduced demand for heating energy, on one hand, and heightened concerns about the fate of the infrastructure built upon thawing permafrost, on the other. Changes in snowfall are particularly important and have direct implications for the urban economy, as together with heating costs, expenses for snow removal from streets, airport runways, roofs and ventilation corridors underneath buildings erected on pile foundations on permafrost constitute the bulk of the city's maintenance budget. Many cities are located in river valleys and are prone to flooding that leads to enormous economic losses and casualties, including human deaths. The severity of the northern climate has direct implications for demographic changes governed by regional migration and labor flows. Climate could thus be viewed as an inexhaustible public resource that creates opportunities for sustainable urban development. Long-term trends show that climate as a resource is becoming more readily available in the Russian North, notwithstanding the general perception that globally climate change is one of the challenges facing humanity in the 21st century. In this study we explore the sustainability of the Arctic urban environment under changing climatic conditions. We identify key governing variables and indexes and study the thresholds beyond which changes in the governing climatic parameters have significant impact on the economy

  12. Un indice per lo sviluppo sostenibile (An Index for Sustainable Development

    Directory of Open Access Journals (Sweden)

    Enrico Casadio Tarabusi

    2012-04-01

    Full Text Available As a possible improvement to the United Nations' Human Development Index (HDI, we propose including in the set of individual variables some of an environmental or social nature. Thus, by rescaling all the variables non-linearly it is possible to mitigate the effect of outliers and synthesize by principal components, or alternatively by a different averaging method that takes sustainability into account and penalizes unbalances among different aspects of development. Both methods are easy to implement and calibrate. The ensuing effect on the ranking of world countries is compared to the HDI ranking. Come possibile miglioramento dell'Indice di Sviluppo Umano (ISU elaborato dall'Organizzazione delle Nazioni Unite proponiamo di includere nell'insieme di variabili individuali alcune di natura ambientale o sociale, di riscalare opportunamente tutte le variabili non linearmente in modo da mitigare l'effetto deglioutliers, e di sintetizzare mediante le componenti principali, oppure attraverso un diverso metodo di media che, tenendo conto della sostenibilità, penalizza gli squilibri tra diversi aspetti dello sviluppo. Entrambi i metodi sono facili da implementare e da calibrare. Il loro effetto sulla graduatoria dei paesi mondiali viene raffrontata con quella dell'ISU.  JEL Codes: I31, O47Keywords: Development, Human Development, Indice

  13. Gulf-Wide Information System, Environmental Sensitivity Index Polygons, Geographic NAD83, LDWF (2001) [esip_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains polygons representing the Environmental Sensitivity Index (ESI) classification of coastal Louisiana. The ESI is a classification and ranking...

  14. The Changing Relationship between Surface Temperatures and Indian Monsoon Rainfall with the Phase of ESI Tendency

    Directory of Open Access Journals (Sweden)

    S. B. Kakade

    2012-01-01

    Full Text Available Effective Strength Index (ESI is the relative strength of NAO and SO. ESI tendency is the algebraic difference between April-ESI and January-ESI and it represents the simultaneous evolution of NAO and SO from winter to spring. During positive (negative phase of ESI tendency, NAO restores positive (negative phase and SO restores negative (positive phase before the beginning of summer season. Thus during contrasting phases (positive and negative of ESI tendency, the evolution of NAO and SO is out of phase. In this paper we have studied the spatial and temporal variability of winter-time temperature field over Europe, Arabian Sea and Bay of Bengal during contrasting phases of ESI tendency. The study reveals that during positive (negative ESI tendency, smaller (larger region of Europe is showing significant winter-time cooling (warming at surface. The relationship between winter-time surface temperature over above regions and Indian summer monsoon rainfall (ISMR also shows spatial and temporal variability. The probable explanation for this change in the relationship is discussed in the paper. Two sets of temperature parameters for two different phases of ESI tendency are found out. Multiple regression equations are developed for the prediction of ISMR in each phase of ESI tendency. The performance of these equations is also discussed in this paper.

  15. Do forwarders improve sustainability efficiency? : Evidence from a European DEA Malmquist index calculation

    NARCIS (Netherlands)

    Klumpp, Matthias

    2017-01-01

    Sustainability performance and efficiency is an important topic in transportation and for forwarders. This is shown, for example, by the fact that major logistics service providers LSP publish sustainability reports, often within the annual legal business report. However, in depth research is

  16. A Sustainability Index of potential co-location of offshore wind farms and open water aquaculture

    DEFF Research Database (Denmark)

    Bennassai, G.; Mariani, Patrizio; Stenberg, Claus

    2014-01-01

    of the productivity). The further development of the technique, already used in open water aquaculture localization, consists in converting raw data into sustainability scores, which have been combined using additive models, in order to define the overall sustainability. The study area used to implement...

  17. Application of exergetic sustainability index to a nano-scale irreversible Brayton cycle operating with ideal Bose and Fermi gasses

    Energy Technology Data Exchange (ETDEWEB)

    Açıkkalp, Emin, E-mail: eacikkalp@gmail.com [Department of Mechanical and Manufacturing Engineering, Engineering Faculty, Bilecik S.E. University, Bilecik (Turkey); Caner, Necmettin [Department of Chemistry, Faculty of Arts and Sciences, Eskisehir Osmangazi University, Eskisehir (Turkey)

    2015-09-25

    Highlights: • An irreversible Brayton cycle operating quantum gasses is considered. • Exergetic sustainability index is derived for nano-scale cycles. • Nano-scale effects are considered. • Calculation are conducted for irreversible cycles. • Numerical results are presented and discussed. - Abstract: In this study, a nano-scale irreversible Brayton cycle operating with quantum gasses including Bose and Fermi gasses is researched. Developments in the nano-technology cause searching the nano-scale machines including thermal systems to be unavoidable. Thermodynamic analysis of a nano-scale irreversible Brayton cycle operating with Bose and Fermi gasses was performed (especially using exergetic sustainability index). In addition, thermodynamic analysis involving classical evaluation parameters such as work output, exergy output, entropy generation, energy and exergy efficiencies were conducted. Results are submitted numerically and finally some useful recommendations were conducted. Some important results are: entropy generation and exergetic sustainability index are affected mostly for Bose gas and power output and exergy output are affected mostly for the Fermi gas by x. At the high temperature conditions, work output and entropy generation have high values comparing with other degeneracy conditions.

  18. Rhode Island, Connecticut, New York, and New Jersey ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Rhode Island,...

  19. Cook Inlet and Kenai Peninsula, Alaska ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Cook Inlet...

  20. Guam and the Northern Mariana Islands ESI: HYDRO (Hydrography Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Guam and the...

  1. Cook Inlet and Kenai Peninsula, Alaska ESI: ROAD_MRK (Road Number Points)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector points used in plotting the road numbers on the summary maps. It comprises a portion of the Environmental Sensitivity Index (ESI) data...

  2. Sustainable Competitive Advantage (SCA Analysis of Furniture Manufacturers in Malaysia: Normalized Scaled Critical Factor Index (NSCFI Approach

    Directory of Open Access Journals (Sweden)

    Tasmin Rosmaini

    2016-06-01

    Full Text Available The purpose of this paper is to investigate Malaysian furniture industry via Sustainable competitive advantages (SCA approach. In this case study, sense and respond method and Normalized Scaled Critical Factor Index (NSCFI are used to specify the distribution of companies’ resources for different criteria and detect the attributes which are critical based on expectation and experience of companies’ employs. Moreover, this study evaluates Malaysian furniture business strategy according to manufacturing strategy in terms of analyzer, prospector and defender. Finally, SCA risk levels are presented to show how much company’s resource allocations support their business strategy.

  3. The method and index of sustainability assessment of infrastructure projects based on system dynamics in China

    Directory of Open Access Journals (Sweden)

    Jun Zhou

    2015-05-01

    Full Text Available Purpose: As one of the most important overhead capital of urban economics and social development, the sustainable development of urban infrastructure is becoming a key issue of prosperous society growing. The purpose of this paper is to establish a basic model to analysis certain infrastructure project’s sustainable construction and operation. Design/methodology/approach: System dynamics is an effective stimulation method and tool to deal with such complex, dynamics, nonlinear systems, which could be used in analyzing and evaluating all aspects of infrastructure sustainability internally and externally. In this paper, the system is divided into four subsystems and 12 main impact indicators. Through setting the boundary and other basic hypothesis, this paper designs the basic causal loop diagrams and stock & flow diagrams to describe the relationship between variables and establish a quantifiable structure for the system. Findings: Adopting a sewerage treatment in China as a case to test our model, we could conclude that the model of internal sustainable subsystem is reasonable. However, this model is a basic model, and it need to be specific designed for the certain project due to the diversity of infrastructure types and the unique conditions of each projects. Originality/value: System Dynamics (SD is widely used in the study of sustainable development and has plentiful research achievements from macro perspective but few studies in the microcosmic project systems. This paper focuses on the unique characteristics of urban infrastructure in China and selects infrastructure project which is based on micro-system discussion. The model we designed has certain practical significance in policy setting, operation monitoring and adjustment of the urban projects with high rationality and accuracy.

  4. Indexed

    CERN Document Server

    Hagy, Jessica

    2008-01-01

    Jessica Hagy is a different kind of thinker. She has an astonishing talent for visualizing relationships, capturing in pictures what is difficult for most of us to express in words. At indexed.blogspot.com, she posts charts, graphs, and Venn diagrams drawn on index cards that reveal in a simple and intuitive way the large and small truths of modern life. Praised throughout the blogosphere as “brilliant,” “incredibly creative,” and “comic genius,” Jessica turns her incisive, deadpan sense of humor on everything from office politics to relationships to religion. With new material along with some of Jessica’s greatest hits, this utterly unique book will thrill readers who demand humor that makes them both laugh and think.

  5. Appropriate architecture for sustainable development: The creation of ecological footprint and human development index capability

    CSIR Research Space (South Africa)

    Gibberd, Jeremy T

    2012-11-01

    Full Text Available & Information, (January 2012), 37-41. [2]World Wild Life Fund, 2006, The Living Planet Report. Accessed from www.panda.org/news_facts/publications/living_planet_report/linving_planet_report_ti meline/index.cfm [3] United Nations Development Programme...

  6. Derivation of sustainable breeding goals for dairy cattle using selection index theory

    NARCIS (Netherlands)

    Nielsen, H.M.; Christensen, L.G.; Groen, A.F.

    2005-01-01

    The objective was to present 2 methods for the derivation of nonmarket values for functional traits in dairy cattle using deterministic simulation and selection index theory. A nonmarket value can be a value representing animal welfare and societal influences for animal production, which can be

  7. Determinants of the inclusion in the BM&FBOVESPA Corporate Sustainability Index and its relationship with firm value

    Directory of Open Access Journals (Sweden)

    Lélis Pedro Andrade

    2013-07-01

    Full Text Available The aim of this study was to identify the variables that influence the firms inclusion in the BM&FBOVESPA Corporate Sustainability Index (CSI, and if such membership is correlated with the firm market value in the Brazilian market. We collected annual data of firms for the period 2006 to 2011. The methodology included the use of methods such as regression analysis type logit and panel data models. The results showed that companies that have joined the ISE have characteristics distinct from those who did not opt for membership. Firms with larger size, higher profitability and sectors considered high environmental impact are more likely to be classified in the ISE. When examined whether inclusion in the CSI has relation with the metric firm value, the results did not reject the hypothesis of positive relationship, even during the financial crisis of 2008, however, found evidence of a negative relationship in the post-crisis period.

  8. The greenhouse index of sustainable development for metallurgical processes of production in aspect of green power

    Directory of Open Access Journals (Sweden)

    Lisienko Vladimir

    2016-01-01

    Full Text Available The accounting of greenhouse gases (GHG according to plans of the Russian Federation becomes obligatory since 2016 for the enterprises with issue of GHG not less than 150 thousand tons of CO2, since 2017 – from 50 thousand tons of CO2. Introduction of a carbon tax (15 dollars/t of CO2 is planned. Voluntary inventory of GHG of the enterprises and territories which in the long term apply is carried out to be called clever. According to University of Cambridge (USA about 45% depreciation of joint-stock portfolios in the world markets, the expected climate change connected with are expected. Parameter for an assessment of the clever city with the developed metallurgy and need of decrease in greenhouse emissions in the atmosphere – the indicator of a sustainable development considering emission of carbon dioxide, prime cost of steel and its power consumption is offered. Its values for tandems blast furnace (BF + oxygen converter (OC, BF, Corex, Romelt, Midrex, Hyl-3 everyone with arc furnace (AF are defined.

  9. Development and analysis of an index of energetic sustainability using fuzzy logic; Desenvolvimento e analise de um indice de sustentabilidade energetica utilizando logica fuzzy

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Francisco Carlos Barbosa dos

    2010-07-01

    Sustainable Development is one the most frequently addressed issues nowadays and the search for its comprehension is a major challenge for researchers. Nevertheless, to reach its understanding and the relations comprised (economic, social, environmental and institutional dimensions) is not the only challenge. To measure the route for a society development is an equally important matter, mainly due to intrinsic relations among environment, society and economy. This work presents a new approach in the construction of a synthetic index for sustainable development, under the point of view of energy sustainability. This methodology was based on mathematical archetypes structured in Fuzzy Logics, thus allowing the incorporation of new knowledge bases, even with vague definitions. The final result is the creation of an Energy Sustainability Index that may be accompanied along the time, allowing comparisons among countries, since it uses a database from the 'Guia de Indicadores Energeticos de Desenvolvimento Sustentavel' (Guide of Energy Indicators for Sustainable Development) from the IAEA. This guide presents an energy indicator methodology worldwide accepted and it was conceived to be similar to other indicators, such as the 'Indice de Desenvolvimento Humano (IDH)' (Human Development Index), developed by The United Nations Organization and which is of easy comprehension, since it is represented by a number between zero and one. (author)

  10. Emergy Synthesis and Regional Sustainability Assessment: Case Study of Pan-Pearl River Delta in China

    Directory of Open Access Journals (Sweden)

    Guomin Li

    2014-08-01

    Full Text Available In this paper, emergy analysis is used in association with the ternary diagrams and geographic information system (GIS tools to improve the evaluation of sustainability for the Pan-Pearl River Delta (PPRD region. Emergy accounting of PPRD is estimated, and various emergy-based indicators are reported. Ternary diagrams are drawn to provide a graphical representation of the emergy accounting data. Finally, the GIS tools are employed to assist in the emergy-based spatial analysis, and emergy density based on flat land area is mapped to reflect the intensity of emergy use in human activity areas. Results show the following: (1 the current development path of the PPRD region, with the value of emergy sustainability index (ESI = 0.227 significantly lower than one, is unsustainable in the long run; (2 Guangdong has the lowest ESI value (0.071, and the ESI values of Fujian, Guangxi, Hunan and Jiangxi are lower than 0.5, indicating that the economy in these provinces overly relies on non-renewable and imported resources; (3 Guizhou has a high emergy yield rate and is thus the main energy supplier in PPRD; and (4 among the nine provinces in PPRD, only Hainan has an ESI value (2.145 higher than one.

  11. Indicators for the 'Convention on biodiversity 2010'. Exploration of the usefulness of the Marine Trophic Index (MTI) as an indicator for sustainability of marine fisheries in the Dutch part of the North Sea

    NARCIS (Netherlands)

    Fey-Hofstede, F.E.; Meesters, H.W.G.

    2007-01-01

    The Marine Trophic Index (MTI) is proposed by the CBD as an indicator for sustainable fisheries and ecosystem integrity. This report explores the usefulness of the Marine Trophic Index (MTI) as an indicator for sustainable fisheries and ecosystem integrity for the Dutch situation

  12. The Establishment and Application of Environment Sustainability Evaluation Indicators for Ecotourism Environments

    Directory of Open Access Journals (Sweden)

    Han-Shen Chen

    2015-04-01

    Full Text Available Kinmen National Park is the only battle memorial-themed natural resource conservation park in Taiwan. With the rapid growth in tourism, Kinmen National Park faces the challenge of managing with the resulting environmental impact. For this study, we adopted the tourism ecological footprint (TEF and tourism ecological capacity (TEC to evaluate the ecological conditions of Kinmen National Park from 2002 to 2011. The empirical results indicated the following findings: (a TEF increased by 8.03% over 10 years; (b Regarding the environmental sustainability index (ESI, per capita tourism ecological deficit (PTED yielded a deficit growth rate of 45.37%. In 2011, the ecological footprint index (EFI was at Level 4 with 1.16, and the ESI was at Level 3 with 0.495. According to the aforementioned results, with the increased scale of tourism to Kinmen National Park, the pressure that ecological occupancy exerted on the national ecosystem exceeded its ecological capacity.

  13. Earth Similarity Index with two free parameters

    OpenAIRE

    Chandra, Suresh; Nepal, Subas; Sharma, Mohit K

    2015-01-01

    We have derived Earth Similarity Index (ESI) with two free parameters m and T. These free parameters are optimized with the consideration that the planet Mars is almost similar to the Earth. For the optimized values of free parameters, the interior-ESI, surface-ESI and ESI for some planets are calculated. The results for m = 0.8 and T = 0.8 are compared with the values obtained by Schulze-Makuch {\\it et al.} (2011). We have found that the exoplanet 55 Cnc f is within 10% away from the thresho...

  14. Extended School Year (ESY). ERIC Digest #E471.

    Science.gov (United States)

    Pinkerton, Dianna

    This digest defines the term "extended school year" (ESY) and notes the issues of regression and recoupment which have led to development of ESY services for students with disabilities. The digest then provides answers to the following questions: (1) When is ESY needed? (2) How is eligibility for ESY determined? (3) What are some factors…

  15. The European Space Information System (ESIS)

    Science.gov (United States)

    Giommi, P.; Ansari, S.

    The European Space Information System (ESIS) is an ESA service that provides uniform access to astronomical data and bibliographical information from several remote archives. ESIS is a new generation data system that gives access to astronomical catalogues and data products such as images, spectra and lightcurves using a powerful and easy-to-use graphic user interface. Extensive facilities to visualize, compare and correlate data from different archives are included. Currently ESIS supports data retrieval from the IUE, EXOSAT, HST, Einstein and SIMBAD databases. Several catalogues and mission logs, including GINGA, and ROSAT are also available. A first version of the ESIS system has been recently released and can be publicly accessed through computer networks. A client-server version of the system is also available and has been installed at a number of astronomical institutes. Demonstrations will be given during the conference.

  16. Western Alaska ESI: ESI (Environmental Sensitivity Index Shoreline Types - Polygons and Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of Western Alaska classified according to the Environmental...

  17. Columbia River ESI: ESI (Environmental Sensitivity Index Shoreline Types - Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of Columbia River classified according to the Environmental...

  18. Bristol Bay, Alaska Subarea ESI: ESI (Environmental Sensitivity Index Shoreline Types - Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of the Bristol Bay Subarea, classified according to the...

  19. Southeast Alaska ESI: ESI (Environmental Sensitivity Index Shoreline Types - Polygons and Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of Southeast Alaska classified according to the Environmental...

  20. Cook Inlet and Kenai Peninsula, Alaska ESI: ESI (Environmental Sensitivity Index Shoreline Types - Polygons and Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of Cook Inlet and Kenai Peninsula, Alaska, classified according to...

  1. North Slope, Alaska ESI: ESI (Environmental Sensitivity Index Shoreline Types - Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats for the North Slope of Alaska classified according to the...

  2. American Samoa ESI: ESI (Environmental Sensitivity Index Shoreline Types - Polygons and Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of American Samoa classified according to the Environmental...

  3. Virginia ESI: ESI (Environmental Sensitivity Index Shoreline Types - Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats for Virginia, classified according to the Environmental Sensitivity...

  4. Renewability emergy index calculation in the evaluation of the sustainability of a national economy; Calculo do indice de renovabillidade emergetica na avaliacao da sustentabilidade de uma economia nacional

    Energy Technology Data Exchange (ETDEWEB)

    Siche Jara, Raul Benito [Universidad Nacional de Trujillo, La Libertad (Peru). Fac. de Ciencias Agropecuarias. Escuela de Ingenieria Agroindustrial], e-mail: Siche.J.R@gmail.com; Ortega Rodriguez, Enrique [Universidade Estadual de Campinas (DEA/FEA/UNICAMP), SP (Brazil). Lab. de Engenharia Ecologica e Informatica Aplicada], e-mail: ortega@fea.unicamp.br

    2006-07-01

    In this study, the emergy methodology was used to analyze the sustainability of the Peruvian economic system. The resources (natural and not natural) and importations had been accounting in units of solar emergy using data of the Peruvian economy for the year 2004. Emergy is an energy measure based in the contribution of the resources and its influence, defined as the energy of a type required producing a flow or storage of another type. The focus of this study is the calculation of the emergy index call 'renewability' (REN), considered as a general measure of the ecological sustainability. In a long period, only systems or processes with high REN are sustainable. This index is calculated by the accounting of the resources renewed used in the economy in emergy units (2.17E+23 seJ) and divided by emergy total that enters to the economic system (6.93E+23 seJ), resulting a REN of 0.31. The renewable resources that use Peru almost represent 20% of the total of renewable resources available in the system. The great amount of renewable resources that Peru can potentially use was calculated in 11.44E+23 seJ, meaning that the system can be more sustainable if the economy is based on increasing the use of renewable resources and to diminish the use of non-renewable resources and imported resources. These data show that Peru has a relatively sustainable economy that can improve or get worse, depending of its politics in the use of resources. (author)

  5. Analysis of the environmental strategies for supportting the economic-financial evaluation of energy sector firms within the corporate sustainability index – ISE

    Directory of Open Access Journals (Sweden)

    Luciano Queiroz de Araújo Júnior

    2014-11-01

    Full Text Available Business companies have entered the sustainable development to achieve growth in the market in which they operate and remain in the long term, as well as the generation of higher income. The objective of the present study is to correlate the environmental strategies as support for assessment and financial return of the Brazilian energy sector companies that are listed in the corporate sustainability Index (ISE in the Bolsa de Valores Bovespa/BMF. For this correlation analysis, we used the Data Envelopment Analysis DEA, to perform the assessment of efficiency through the classic border and construction of a combined index ranking, with statistical analysis conducted by SPSS, with the data from the 10 companies in the energy sector used in the research. For analysis of environmental strategies, analyzed all the Yearbooks published, through a qualitative analysis. As a result, was raised a ranking of companies which presents the company Light S/A as the most efficient financial and environmental correlation. Is also a general survey of the main strategies used by each company, in order to contribute to a sustainable actions alignment to the State of national art.

  6. Guam, 2006 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  7. Large-scale synthesis of palladium concave nanocubes with high-index facets for sustainable enhanced catalytic performance.

    Science.gov (United States)

    Xie, Xiaobin; Gao, Guanhui; Pan, Zhengyin; Wang, Tingjun; Meng, Xiaoqing; Cai, Lintao

    2015-02-17

    The catalytic activity of palladium (Pd) nanostructures highly relies on their size and morphology, especially enclosed with high-index facets, which provide more active sites so as to enhance their catalytic performance comparing with their low-index facet counterparts. Herein, Pd concave nanocubes enclosed with {730} facets by a one-pot scalable liquid method, with various high-index facets are synthesized via tuning reduction kinetics. Due to their high-index facets, the Pd concave nanocubes exhibit much higher electrocatalytic activity and stability for methanol oxidation than the Pd nanocubes enclosed by {100} facets and commercial Pd/C. Furthermore, we scale up synthesis of Pd concave nanocubes by expanding the volume of all species to fifty times with high-yield production.

  8. Climate Risk and Production Shocks: Using Index Insurance to Link Climate Science to Policy for Sustainable Development

    Science.gov (United States)

    McCarney, G. R.; Osgood, D. E.

    2011-12-01

    Smallholder farmers in developing countries are often severely impacted by droughts and other climate related events. However, agricultural insurance programs are largely unavailable in lower-income countries because of limitations in traditional loss-based indemnity insurance. As a result, it is often the case that farmers who are the most vulnerable to climate shocks lack access to the insurance tools that could help to reduce their production risk. Index insurance, a recent financial innovation, has the potential to increase access to insurance for smallholder farmers (Barrett et al. 2007). Index insurance allows farmers to insure their production risk based on a weather index (such as total seasonal rainfall) rather than on crop yields. The use of a weather index addresses many of the perverse incentive problems found in traditional crop insurance, and greatly reduces the costs of insuring smallholder farmers. The trade-off in index insurance, however, is limited accuracy in calibrating payouts to actual losses, a phenomenon commonly known as basis risk. While index insurance has promise as a risk-smoothing instrument, many argue it has greater promise as a mechanism for improving access to credit for smallholder farmers in developing countries (e.g. Barnett, Barrett & Skees 2008). In these areas, farmers are often fully exposed to climate shocks, which greatly affect their willingness to borrow. By smoothing the uncertainty in climate shocks, insurance may allow farmers to take credit for productive risks. There has been much discussion as to the optimal strategy for combining index insurance with credit, specifically if the financial institutions or the individual farmers themselves should hold the insurance policy. Many existing insurance implementations insure the farmer directly. However, since a weather index is a proxy for yield loss based on regional data, there is basis risk due to uninsured idiosyncratic differences between farmers. As a response to

  9. Risk forewarning of regional development sustainability based on a natural resources and environmental carrying index in China

    Science.gov (United States)

    Fan, Jie; Wang, Yafei; Ouyang, Zhiyun; Li, Lijuan; Xu, Yong; Zhang, Wenzhong; Wang, Chuansheng; Xu, Weihua; Li, Jiuyi; Yu, Jianhui; Zhou, Kan

    2017-02-01

    It is a matter of public consensus that China's high growth rate has been achieved at the expense of natural resources and the environment, leading to serious risks to sustainability. This research, which proposes a theoretical model to forewarn of risks to regional developmental sustainability in China, constitutes the first empirical evaluation of this to be undertaken there. The results show that: (a) the areas at risk cover almost 43% of the land and 44% of the population of mainland China. In those areas, 83.56% of people at risk are threatened by the low carrying capacity of the environment and limited water resources. (b) With 70% of the total population living in "at risk" areas, urbanization zones remain as the primary category suffering from overload across China. Extensive industrialization has resulted in environmental pollution, which contributes the most to the forewarning status, while the secondary cause is found to be the special coupling of the scarcity of natural water resources and their inefficient use. In addition, most urban conglomerations suffer from pollution by industrial production and household consumption, which tends to extend to their surrounding agricultural areas. Extensive mineral exploitation in ecologically fragile areas has made them increasingly more vulnerable to disturbances from their neighboring resource-driven urban areas. The paper uses these findings to suggest how to intensify the special regulatory administration of resources and the environment, and to transform approaches to industrialization, in order to address sustainable development issues in developing countries.

  10. Delay Discounting as an Index of Sustainable Behavior: Devaluation of Future Air Quality and Implications for Public Health.

    Science.gov (United States)

    Berry, Meredith S; Nickerson, Norma P; Odum, Amy L

    2017-09-01

    Poor air quality and resulting annual deaths represent significant public health concerns. Recently, rapid delay discounting (the devaluation of future outcomes) of air quality has been considered a potential barrier for engaging in long term, sustainable behaviors that might help to reduce emissions (e.g., reducing private car use, societal support for clean air initiatives). Delay discounting has been shown to be predictive of real world behavior outside of laboratory settings, and therefore may offer an important framework beyond traditional variables thought to measure sustainable behavior such as importance of an environmental issue, or environmental attitudes/values, although more research is needed in this area. We examined relations between discounting of air quality, respiratory health, and monetary gains and losses. We also examined, relations between discounting and self-reported importance of air quality and respiratory health, and nature relatedness. Results showed rapid delay discounting of all outcomes across the time frames assessed, and significant positive correlations between delay discounting of air quality, respiratory health, and monetary outcomes. Steeper discounting of monetary outcomes relative to air quality and respiratory health outcomes was observed in the context of gains; however, no differences in discounting were observed across losses of monetary, air quality, and respiratory health. Replicating the sign effect, monetary outcomes were discounted more steeply than monetary losses. Importance of air quality, respiratory health and nature relatedness were significantly and positively correlated with one another, but not with degree of delay discounting of any outcome, demonstrating the need for more comprehensive measures that predict pro-environmental behaviors that might benefit individuals and public health over time. These results add to our understanding of decision-making, and demonstrate alarming rates of delay discounting of

  11. Analysis of the relationship between social and environmental investment and inclusion of companies in corporate sustainability index of BM&FBOVESPA

    Directory of Open Access Journals (Sweden)

    Márcio André Veras Machado

    2012-04-01

    Full Text Available DOI: http://dx.doi.org/10.5007/2175-8077.2012v14n32p141 This paper aims to investigate the relationship between social and environmental investments and the inclusion of companies in the Corporate Sustainability Index of BM&FBOVESPA, by applying logistic regression. For this, we analyzed information relating to internal and external social and environmental investments, from the social balance of companies.The sample consisted of companies eligible for inclusion in the portfolio ISE in the period of December 2009 to December 2010. According to the results, we can conclude that there is a relationship between environmental investments and entry of firms in the portfolio ISE of BM&FBOVESPA, showing that investment made and evidenced in social and environmental issues is a sign of real commitment to social responsibility and sustainability and not simply a form of accountability of the funds invested. As the variables used, internal social investment (II, External (IE and environmental (IA, we found that IE is the best proxy to explain this relationship. In other words, the results suggest that companies that invest resources in favor of community, either voluntarily or through taxes, which is or should be a resource applied in society, has more chances of entering the ISE portfolio composition.

  12. Efficiency and environmental indexes to evaluate the sustainability of mineral and organic fertilization in an irrigated melon crop

    Science.gov (United States)

    Requejo Mariscal, María Isabel; Villena Gordo, Raquel; Cartagena Causapé, María Carmen; Arce Martínez, Augusto; Ribas Elcorobarrutia, Francisco; Jesús Cabello Cabello, María; María Tarquis Alfonso, Ana; Castellanos Serrano, María Teresa

    2014-05-01

    Melon is traditionally cultivated in fertigated farmlands in the center of Spain with high inputs of water and N fertilizer. Excess N can have a negative impact, from the economic point of view, since it can diminish the production and quality of the fruit, from the environmental point of view, since it is a very mobile element in the soil and can contaminate groundwater. From health point of view, nitrate can be accumulated in fruit pulp, and, in addition, groundwater is the fundamental supply source of human populations. Best management practices are particularly necessary in this region as many zones have been declared vulnerable to NO3- pollution (Directive 91/676/CEE) During successive years, a melon crop (Cucumis melo L.) was grown under field conditions applying mineral and organic fertilizers under drip irrigation. Different doses of ammonium nitrate were used as well as compost derived from the wine-distillery industry which is relevant in this area. The present study reviews the most common N efficiency indexes [1] under the different management options with a view to maximizing yield and minimizing N loss. Acknowledgements: This project has been supported by INIA-RTA04-111-C3 and INIA-RTA2010-00110-C03-01. [1] Castellanos, M., Tarquis, A., Ribas, F., Cabello, M., Arce, A., & Cartagena, M. (2013). Nitrogen fertigation: An integrated agronomic and environmental study. Agricultural Water Management, 120, 46-55.

  13. Quantitative indexing and Tardigrade analysis of exoplanets

    OpenAIRE

    Kashyap, J. M.

    2017-01-01

    Search of life elsewhere in the galaxy is very fascinating area for planetary scientists and astrobiologists. Earth Similarity Index (ESI) is defined as geometrical mean of four physical parameters (Such as radius, density, escape velocity and surface temperature), which is ranging from 1 (identical to Earth) to 0 (dissimilar to Earth). In this work, ESI is re-defined as six parameters by introducing the two new physical parameters like revolution and surface gravity and is called as New Eart...

  14. Active Maintenance of the Gradient of Refractive Index Is Required to Sustain the Optical Properties of the Lens.

    Science.gov (United States)

    Vaghefi, Ehsan; Kim, Andy; Donaldson, Paul J

    2015-11-01

    To determine whether the cellular physiology of the lens actively maintains the optical properties of the lens and whether inhibition of lens transport affects overall visual quality. One lens from a pair of bovine lenses was cultured in artificial aqueous humor (AAH), while the other was cultured in either AAH-High-K+ or AAH + 0.1 mM ouabain for 4 hours. Lens pairs or whole enucleated eyes were then imaged in 4.7 Tesla (T) high-field small animal magnet. Lens surface curvatures, T1 measurements of water content, and T2 measurements of water/protein ratios were extracted from cultured lenses, while the geometrical parameters that define the optical pathway were obtained from whole eyes. Gradients of refractive index (GRIN), calculated from T2 measurements, and the extracted geometric parameters were inputted into optical models of the isolated lens and the whole bovine eye. Inhibiting circulating fluxes by inhibiting the Na/K-ATPase with ouabain or depolarization of the lens potential by High K+ caused changes to lens water content, the water/protein ratio (GRIN) and surface geometry that manifested as an increase in optical power and a decrease in negative spherical aberration in cultured lenses. Changes to optical properties of the lens resulted in a myopic shift that impaired vision quality in the optical model of the bovine eye. The cellular physiology of the lens actively maintains its optical properties and inhibiting the Na/K/ATPase induces a myopic shift in vision similar to that observed clinically in patients who go on to develop cataract.

  15. West Florida, 1993-1995 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  16. West Peninsular Florida I 1996 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  17. South Florida, 1993-1995 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  18. East Florida, 1993 - 1995 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  19. West Peninsular Florida 2, 1996 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  20. Long-term trends in tourism climate index scores for 40 stations across Iran: the role of climate change and influence on tourism sustainability.

    Science.gov (United States)

    Roshan, Gholamreza; Yousefi, Robabe; Fitchett, Jennifer M

    2016-01-01

    Tourism is a rapidly growing international sector and relies intrinsically on an amenable climate to attract visitors. Climate change is likely to influence the locations preferred by tourists and the time of year of peak travel. This study investigates the effect of climate change on the Tourism Climate Index (TCI) for Iran. The paper first calculates the monthly TCI for 40 cities across Iran for each year from 1961 to 2010. Changes in the TCI over the study period for each of the cities are then explored. Increases in TCI are observed for at least one station in each month, whilst for some months no decreases occurred. For October, the maximum of 45% of stations demonstrated significant changes in TCI, whilst for December only 10% of stations demonstrated change. The stations Kashan, Orumiyeh, Shahrekord, Tabriz, Torbat-e-Heidarieh and Zahedan experienced significant increases in TCI for over 6 months. The beginning of the change in TCI is calculated to have occurred from 1970 to 1980 for all stations. Given the economic dependence on oil exports, the development of sustainable tourism in Iran is of importance. This critically requires the identification of locations most suitable for tourism, now and in the future, to guide strategic investment.

  1. Mineralogy And Raw Material Characterization Of Esie Stone ...

    African Journals Online (AJOL)

    Electronprobe mineral data of samples of Esie statues is presented as a possible tool for provenance studies. Most of the samples contain talc, chlorite, cummingtonite and rarely tremolite. Other talc-bearing schists are prevalent in the Esie area. However talc-cummingtonite rocks, similar to the raw materials used for the ...

  2. Rhode Island, Connecticut, New York, and New Jersey ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of the U.S. Geological Survey 1:24,000 topographic maps and other map and digital data boundaries...

  3. Locally Sustainable School Lunch Intervention Improves Hemoglobin and Hematocrit Levels and Body Mass Index among Elementary Schoolchildren in Rural West Java, Indonesia.

    Science.gov (United States)

    Sekiyama, Makiko; Roosita, Katrin; Ohtsuka, Ryutaro

    2017-08-12

    School lunch is not provided in public elementary schools in Indonesia, and students frequently buy and eat snacks at school. We hypothesized that providing a traditional Sundanese meal as school lunch would be beneficial for children in rural West Java. To test this hypothesis, we evaluated the effect of a 1-month school lunch intervention aiming at sustainability and based on children's nutritional intake, hemoglobin and hematocrit levels, and body mass index (BMI). A lunch (including rice, vegetable dish, animal protein dish, plant protein dish, and fruit) containing one-third of the recommended daily allowance of energy was offered every school day for 1 month, targeting 68 fourth-grade elementary schoolchildren. At baseline, the prevalence of anemia was 33.3%. The prevalence of stunting and underweight were 32.4% and 2.9%, respectively, whereas that of overweight and obesity combined was 17.6%, indicating a double burden of malnutrition among the subjects. During the intervention, intakes of protein ( p < 0.05), calcium ( p < 0.05), and vitamin C ( p < 0.001) significantly increased, while that of fat significantly decreased ( p < 0.001). After the intervention, hemoglobin ( p < 0.05) and hematocrit ( p < 0.05) levels were significantly improved, thereby almost halving the rate of anemia. These changes were significantly larger in the baseline anemic group than the non-anemic group ( p < 0.01). BMI significantly increased in the baseline underweight/normal group ( p < 0.001) but not in the overweight/obese group. The school lunch intervention significantly improved nutritional intakes and health statuses, implying its potential for reducing anemia and resolving the double burden of malnutrition among rural Indonesian schoolchildren.

  4. Investigation of intercooler-effectiveness on exergo-economic and exergo-sustainability parameters of modified Brayton cycles

    Directory of Open Access Journals (Sweden)

    Fidelis I. Abam

    2017-09-01

    Full Text Available The paper investigates the variants of intercooler effectiveness on exergo-economic and exergo-sustainability indicators of modified Brayton cycles. The objective is to ascertain how the variant in the intercooler effectiveness affects the exergy-based parameters. However, to achieve this, a component by component exergy-cost balances was established. The considered cycles include: the non-specific cycle (Case 1 comprising a gas turbine (GT, intercooler (IC, heat exchanger (HE and reheat system (REH, others include (GT+H+REH +ST, Case 2, (GT+HE +IC +REH +ST+FWH, Case 3 and (GT+HE+IC+REH +ST+2 FWH, Case 4. The calculated cycle efficiencies (Cases 1–4 varies from 17.59% to 28.84% for intercooler effectiveness of 0.75 and 0.95. The exergy destruction within this range was 0.97%, 1.26%, 0.89% and 1.23% (Cases 1, 2 3 and 4 respectively. The component exergy destruction cost (CEDC fluctuated between 3.85≤CEDC≤229.1$/hr,5.61E−06≤CEDC≤229.1$/h,1.46E−06≤CEDC≤229.1$/hr and 5.61E−06≤CEDC≤229.1$/hr for same order. Additionally, the exergo-sustainability indicators: exergy waste ratio (EWR, environmental effect factor (EFF and exergetic sustainability index (ESI were estimated between 17.59≤EEF≤28.84%,0.433≤EWR≤0.6359, 1.55≤ EFF ≤3.60 and 0.277≤ ESI ≤0.644. Conclusively, the intercooler and other modifications have a marginal effect but Cases 4 and 3 was most sustainable with considerable ESI.

  5. Technical application of Fuzzy logic in the construction of an energy sustainability index; Aplicacao das tecnicas de logica fuzzi na construcao de um indice de sustentabilidade energetica

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Francisco Carlos B. dos; Carneiro, Alvaro Luiz Guimaraes [Instituto de Pesquisas Energeticas e Nucleares (IPEN-CNEN/SP), Sao Paulo - SP (Brazil)], E-mails: fcarlos@usp.br, carneiro@ipen.br

    2010-11-15

    Aggregation tools database and subsequent interpretation are the most challenge in the area of sustainability This task becomes very complex due to correlation of topics that comprise the dimensions that form the basis of the concept of sustainable development. The technique known as Fuzzy Logic or Fuzzy Logic is a powerful tool to capture information on vacancies, which is often the only information available in the area of sustainability. (author)

  6. Rhode Island, Connecticut, New York, and New Jersey ESI: ESI (Environmental Sensitivity Index Shoreline Types - Polygons and Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of Rhode Island, Connecticut, New York, and New Jersey, classified...

  7. Rota, Commonwealth of the Nothern Mariana Islands, 2006 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  8. Saipan, Commonwealth of the Nothern Mariana Islands, 2006 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  9. Tinian, Commonwealth of the Nothern Mariana Islands, 2006 Environmental Sensitivity Index Map

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the...

  10. INDEXING AND INDEX FUNDS

    Directory of Open Access Journals (Sweden)

    HAKAN SARITAŞ

    2013-06-01

    Full Text Available Proponents of the efficient market hypothesis believe that active portfolio management is largely wasted effort and unlikely to justify the expenses incurred. Therefore, they advocate a passive investment strategy that makes no attempt to outsmart the market. One common strategy for passive management is indexing where a fund is designed to replicate the performance of a broad-based index of stocks and bonds. Traditionally, indexing was used by institutional investors, but today, the use of index funds proliferated among individual investors. Over the years, both international and domestic index funds have disproportionately outperformed the market more than the actively managed funds have.

  11. [Scenario analysis on sustainable development of Sino-Singapore Tianjin Eco-city based on emergy and system dynamics].

    Science.gov (United States)

    Li, Chun-fa; Cao, Ying-ying; Yang, Jian-cho; Yang, Qi-qi

    2015-08-01

    Dynamic evaluation of sustainable development is one of the key fundamental parts of the success of Sino-Singapore Tianjin Eco-city, which is the first eco-city in China constructed by international cooperation. Based on the analysis of nature and economy, function and structure, planning control indices and so on, we constructed a sustainable development evaluation index system and a system dynamics model of Sino-Singapore Tianjin Eco-city to explore dynamic trends of its population, material and currency by comprehensive utilization of emergy analysis and system dynamics method. Five scenarios were set up and simulated, including inertial scenario, scientific and technological scenario, economic scenario, environmental scenario and harmonious development scenario. Then, the sustainability of the 5 scenarios was evaluated and compared. The results showed that in the economy and environment sustainable development scenario, there was a steady growth trend of GDP, accumulation of both emergy and currency, and relatively lower values in emergy waste ratio, emergy ratio of waste, and emergy loading ratio. Although both sustainable evaluation indices, such as ESI and UEI, were relatively low, the economy and environment sustainable development scenario was still the best development scenario which was more active than others.

  12. Evaluating sustainability of cropland use in Yuanzhou county of the Loess plateau, China using an emergy-based ecological footprint.

    Directory of Open Access Journals (Sweden)

    Xiaomei Bai

    Full Text Available Evaluating the sustainability of cropland use is essential for guaranteeing a secure food supply and accomplishing agriculture sustainable development. This study was conducted in the ecologically vulnerable Loess Plateau region of China to evaluate the sustainability of cropland use based on an ecological footprint model that integrates emergy analysis. One modified method proposed in 2005 is known as the emergetic ecological footprint (EEF. We enhanced the method by accounting for both the surface soil energy in the carrying capacity calculation and the net topsoil loss for human consumption in the EF calculation. This paper evaluates whether the cropland of the study area was overloaded or sustainably managed during the period from 1981 to 2009. Toward this end, the final results obtained from EEF were compared to conventional EF and previous methods. The results showed that the cropland of Yuanzhou County has not been used sustainably since 1983, and the conventional EF analysis provided similar results. In contrast, a deficit did not appear during this time period when previous calculation methods of others were used. Additionally, the ecological sustainable index (ESI from three models indicated that the recently used cropland system is unlikely to be unsustainable.

  13. Evaluating sustainability of cropland use in Yuanzhou county of the Loess plateau, China using an emergy-based ecological footprint.

    Science.gov (United States)

    Bai, Xiaomei; Wen, Zhongming; An, Shaoshan; Li, Bicheng

    2015-01-01

    Evaluating the sustainability of cropland use is essential for guaranteeing a secure food supply and accomplishing agriculture sustainable development. This study was conducted in the ecologically vulnerable Loess Plateau region of China to evaluate the sustainability of cropland use based on an ecological footprint model that integrates emergy analysis. One modified method proposed in 2005 is known as the emergetic ecological footprint (EEF). We enhanced the method by accounting for both the surface soil energy in the carrying capacity calculation and the net topsoil loss for human consumption in the EF calculation. This paper evaluates whether the cropland of the study area was overloaded or sustainably managed during the period from 1981 to 2009. Toward this end, the final results obtained from EEF were compared to conventional EF and previous methods. The results showed that the cropland of Yuanzhou County has not been used sustainably since 1983, and the conventional EF analysis provided similar results. In contrast, a deficit did not appear during this time period when previous calculation methods of others were used. Additionally, the ecological sustainable index (ESI) from three models indicated that the recently used cropland system is unlikely to be unsustainable.

  14. Environmental disclosure: a study about evolution in companies comprising the environmental sustainability index A evidenciação da cultura organizacional voltada para a responsabilidade ambiental

    Directory of Open Access Journals (Sweden)

    Irani Rocha

    2011-10-01

    Full Text Available Normal 0 21 false false false PT-BR X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabela normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} This research aimed at assessing the evolution of environmental disclosure in the organizations that comprise the ISE since its first incarnation. In the methodology, we chose a descriptive research through a content analysis with a qualitative and quantitative approach. Presenting as a theoretical underpinning rapid approach to Environmental Management, Environmental Sustainability Index (ISE and Categories Cultural and Environmental Variables. We developed a model based on the indicators of corporate social responsibility of the Ethos Institute (2009 and later were organized into companies rankings, by applying the Analytic Hierarchy Process (AHP. The sample is made up of companies that comprise the ISE BM&FBovespa from the start, totaling 14 participating companies. The results show that in 2006 there was a significant increase in disclosure by companies. It found a steady increase in the disclosure of information that demonstrate the business concern with respect to the environment. Thus meeting the demands of society, supporting their recovery by increasing transparency in attitudes to the environment. Thus, incorporating the company's culture, being operationalized and

  15. Lo sviluppo come fenomeno multidimensionale. Confronto tra l’ISU e un indice di sviluppo sostenibile (Development as Multi-dimensional Phenomenon: Comparison between the HDI and an Index of Sustainable Development

    Directory of Open Access Journals (Sweden)

    Paolo Palazzi

    2004-09-01

    Full Text Available On the basis of the UNDP data used to calculate the Human Development Index (HDI, the paper applies a methodology to determine a different development index able to show disequilibria between the different aspects of development (in this case income, life expectancy and education. The basic idea is that the concept of total substitutability between the variables utilized to calculate the HDI must be abandoned, and it is therefore important to take into account the unbalance between the various aspects characterizing the development level when calculating the index. The author utilizes the concept of the social sustainability of development over time, assuming that it will show a higher value with a more even balance between the various aspects of development. The concave average methodology proposed in Casadio Tarabusi ePalazzi (2004 is able to "penalize" development levels proportionally to the disequilibrium of the variables utilized to measure it. In the paper the new indicator is calculated for 162 countries for the years 1997-2001. Comparison between HDI and the new index shows notable differences not only in the ranking of the countries, but also in the time dynamics of the two indicators, now of the opposite sign for many countries. Finally, utilizing multivariate statistical analysis the presence of disequilibria in the various countries is evidenced together with their dynamics over time.

  16. Lo sviluppo come fenomeno multidimensionale. Confronto tra l’ISU e un indice di sviluppo sostenibile (Development as Multi-dimensional Phenomenon: Comparison between the HDI and an Index of Sustainable Development

    Directory of Open Access Journals (Sweden)

    Paolo Palazzi

    2012-04-01

    Full Text Available On the basis of the UNDP data used to calculate the Human Development Index (HDI, the paper applies a methodology to determine a different development index able to show disequilibria between the different aspects of development (in this case income, life expectancy and education. The basic idea is that the concept of total substitutability between the variables utilized to calculate the HDI must be abandoned, and it is therefore important to take into account the unbalance between the various aspects characterizing the development level when calculating the index. The author utilizes the concept of the social sustainability of development over time, assuming that it will show a higher value with a more even balance between the various aspects of development. The concave average methodology proposed in Casadio Tarabusi ePalazzi (2004 is able to "penalize" development levels proportionally to the disequilibrium of the variables utilized to measure it. In the paper the new indicator is calculated for 162 countries for the years 1997-2001. Comparison between HDI and the new index shows notable differences not only in the ranking of the countries, but also in the time dynamics of the two indicators, now of the opposite sign for many countries. Finally, utilizing multivariate statistical analysis the presence of disequilibria in the various countries is evidenced together with their dynamics over time.  JEL Codes: C43, O10, O15, Q01Keywords: Development, Education, Human Development, Indice

  17. Developing sustainable software solutions for bioinformatics by the “Butterfly” paradigm [v2; ref status: indexed, http://f1000r.es/40q

    Directory of Open Access Journals (Sweden)

    Zeeshan Ahmed

    2014-08-01

    Full Text Available Software design and sustainable software engineering are essential for the long-term development of bioinformatics software. Typical challenges in an academic environment are short-term contracts, island solutions, pragmatic approaches and loose documentation. Upcoming new challenges are big data, complex data sets, software compatibility and rapid changes in data representation. Our approach to cope with these challenges consists of iterative intertwined cycles of development (“Butterfly” paradigm for key steps in scientific software engineering. User feedback is valued as well as software planning in a sustainable and interoperable way. Tool usage should be easy and intuitive. A middleware supports a user-friendly Graphical User Interface (GUI as well as a database/tool development independently. We validated the approach of our own software development and compared the different design paradigms in various software solutions.

  18. ESI-MS, ESI-MS/MS fingerprint and LC-ESI-MS analysis of proathocyanidins from Bursera simaruba Sarg bark.

    Science.gov (United States)

    Maldini, Mariateresa; Montoro, Paola; Piacente, Sonia; Pizza, Cosimo

    2009-12-01

    Direct flow injection/electrospray ionization/ion trap tandem mass spectrometry was used to investigate the presence of proanthocyanidins (PAs) in the methanolic extract of B. simaruba bark. Additionally, an LC-ESI-MS qualitative study was performed by using a monolithic stationary phase. The fragmentation pattern obtained evidenced the presence in B. simaruba bark of PAs belonging to the series of polymers of epicatechin, along with their glycosilated derivatives.

  19. Indexing of exoplanets in search for potential habitability: application to Mars-like worlds

    Science.gov (United States)

    Kashyap Jagadeesh, Madhu; Gudennavar, Shivappa B.; Doshi, Urmi; Safonova, Margarita

    2017-08-01

    Study of exoplanets is one of the main goals of present research in planetary sciences and astrobiology. Analysis of huge planetary data from space missions such as CoRoT and Kepler is directed ultimately at finding a planet similar to Earth—the Earth's twin, and answering the question of potential exo-habitability. The Earth Similarity Index (ESI) is a first step in this quest, ranging from 1 (Earth) to 0 (totally dissimilar to Earth). It was defined for the four physical parameters of a planet: radius, density, escape velocity and surface temperature. The ESI is further sub-divided into interior ESI (geometrical mean of radius and density) and surface ESI (geometrical mean of escape velocity and surface temperature). The challenge here is to determine which exoplanet parameter(s) is important in finding this similarity; how exactly the individual parameters entering the interior ESI and surface ESI are contributing to the global ESI. Since the surface temperature entering surface ESI is a non-observable quantity, it is difficult to determine its value. Using the known data for the Solar System objects, we established the calibration relation between surface and equilibrium temperatures to devise an effective way to estimate the value of the surface temperature of exoplanets. ESI is a first step in determining potential exo-habitability that may not be very similar to a terrestrial life. A new approach, called Mars Similarity Index (MSI), is introduced to identify planets that may be habitable to the extreme forms of life. MSI is defined in the range between 1 (present Mars) and 0 (dissimilar to present Mars) and uses the same physical parameters as ESI. We are interested in Mars-like planets to search for planets that may host the extreme life forms, such as the ones living in extreme environments on Earth; for example, methane on Mars may be a product of the methane-specific extremophile life form metabolism.

  20. Sensitivity of Coastal Environments and Wildlife to Spilled Oil: Hudson River: WETLANDS (Environmental Sensitivity Index Wetland Types - Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing coastal wetland habitats for the Hudson River classified according to the Environmental Sensitivity Index (ESI)...

  1. An index-based approach for the sustainability assessment of irrigation practice based on the water-energy-food nexus framework

    Science.gov (United States)

    de Vito, Rossella; Portoghese, Ivan; Pagano, Alessandro; Fratino, Umberto; Vurro, Michele

    2017-12-01

    Increasing pressure affects water resources, especially in the agricultural sector, with cascading impacts on energy consumption. This is particularly relevant in the Mediterranean area, showing significant water scarcity problems, further exacerbated by the crucial economic role of agricultural production. Assessing the sustainability of water resource use is thus essential to preserving ecosystems and maintaining high levels of agricultural productivity. This paper proposes an integrated methodology based on the Water-Energy-Food Nexus to evaluate the multi-dimensional implications of irrigation practices. Three different indices are introduced, based on an analysis of the most influential factors. The methodology is then implemented in a catchment located in Puglia (Italy) and a comparative analysis of the three indices is presented. The results mainly highlight that economic land productivity is a key driver of irrigated agriculture, and that groundwater is highly affordable compared to surface water, thus being often dangerously perceived as freely available.

  2. Structure characterization of lipocyclopeptide antibiotics, aspartocins A, B & C, by ESI-MSMS and ESI-nozzle-skimmer-MSMS.

    Science.gov (United States)

    Siegel, Marshall M; Kong, Fangming; Feng, Xidong; Carter, Guy T

    2009-12-01

    Three lipocyclopeptide antibiotics, aspartocins A (1), B (2), and C (3), were obtained from the aspartocin complex by HPLC separation methodology. Their structures were elucidated using previously published chemical degradation results coupled with spectroscopic studies including ESI-MS, ESI-Nozzle Skimmer-MSMS and NMR. All three aspartocin compounds share the same cyclic decapeptide core of cyclo [Dab2 (Asp1-FA)-Pip3-MeAsp4-Asp5-Gly6-Asp7-Gly8-Dab9-Val10-Pro11]. They differ only in the fatty acid side chain moiety (FA) corresponding to (Z)-13-methyltetradec-3-ene-carbonyl, (+,Z)-12-methyltetradec-3-ene-carbonyl and (Z)-12-methyltridec-3-ene-carbonyl for aspartocins A (1), B (2), and C (3), respectively. All of the sequence ions were observed by ESI-MSMS of the doubly charged parent ions. However, a number of the sequence ions observed were of low abundance. To fully sequence the lipocyclopeptide antibiotic structures, these low abundance sequence ions together with complementary sequence ions were confirmed by ESI-Nozzle-Skimmer-MSMS of the singly charged linear peptide parent fragment ions H-Asp5-Gly6-Asp7-Gly8-Dab9-Val10-Pro11-Dab2(1+)-Asp1-FA. Cyclization of the aspartocins was demonstrated to occur via the beta-amino group of Dab2 from ions of moderate intensity in the ESI-MSMS spectra. As the fatty acid moieties do not undergo internal fragmentations under the experimental ESI mass spectral conditions used, the 14 Da mass difference between the fatty acid moieties of aspartocins A (1) and B (2) versus aspartocin C (3) was used as an internal mass tag to differentiate fragment ions containing fatty acid moieties and those not containing the fatty acid moieties. The most numerous and abundant fragment ions observed in the tandem mass spectra are due to the cleavage of the tertiary nitrogen amide of the pipecolic acid residue-3 (16 fragment ions) and the proline residue-11 (7 fragment ions). In addition, the neutral loss of ethanimine from alpha

  3. Earthquake Hazard and the Environmental Seismic Intensity (ESI) Scale

    Science.gov (United States)

    Serva, Leonello; Vittori, Eutizio; Comerci, Valerio; Esposito, Eliana; Guerrieri, Luca; Michetti, Alessandro Maria; Mohammadioun, Bagher; Mohammadioun, Georgianna C.; Porfido, Sabina; Tatevossian, Ruben E.

    2016-05-01

    The main objective of this paper was to introduce the Environmental Seismic Intensity scale (ESI), a new scale developed and tested by an interdisciplinary group of scientists (geologists, geophysicists and seismologists) in the frame of the International Union for Quaternary Research (INQUA) activities, to the widest community of earth scientists and engineers dealing with seismic hazard assessment. This scale defines earthquake intensity by taking into consideration the occurrence, size and areal distribution of earthquake environmental effects (EEE), including surface faulting, tectonic uplift and subsidence, landslides, rock falls, liquefaction, ground collapse and tsunami waves. Indeed, EEEs can significantly improve the evaluation of seismic intensity, which still remains a critical parameter for a realistic seismic hazard assessment, allowing to compare historical and modern earthquakes. Moreover, as shown by recent moderate to large earthquakes, geological effects often cause severe damage"; therefore, their consideration in the earthquake risk scenario is crucial for all stakeholders, especially urban planners, geotechnical and structural engineers, hazard analysts, civil protection agencies and insurance companies. The paper describes background and construction principles of the scale and presents some case studies in different continents and tectonic settings to illustrate its relevant benefits. ESI is normally used together with traditional intensity scales, which, unfortunately, tend to saturate in the highest degrees. In this case and in unpopulated areas, ESI offers a unique way for assessing a reliable earthquake intensity. Finally, yet importantly, the ESI scale also provides a very convenient guideline for the survey of EEEs in earthquake-stricken areas, ensuring they are catalogued in a complete and homogeneous manner.

  4. Browse Title Index

    African Journals Online (AJOL)

    Items 201 - 224 of 224 ... Vol 5, No 1 (2004), Studies on microbial quality, swelling index and moisture content of white and yellow garri in storage, Abstract. O Nwaiwu, VI Ibekwe ... Vol 14, No 2 (2011), Sustainability of Beekeeping as a Means of Economic Empowerment, Biodiversity and Food Security, Abstract. EO Ubeh, EU ...

  5. SMART SUSTAINABLE ISLANDS VS SMART SUSTAINABLE CITIES

    Directory of Open Access Journals (Sweden)

    D. N. Pantazis

    2017-09-01

    Full Text Available This paper has several aims: a the presentation of a critical analysis of the terms “smart sustainable cities” and “smart sustainable islands” b the presentation of a number of principles towards to the development methodological framework of concepts and actions, in a form of a manual and actions guide, for the smartification and sustainability of islands. This kind of master plan is divided in thematic sectors (key factors which concern the insular municipalities c the creation of an island’s smartification and sustainability index d the first steps towards the creation of a portal for the presentation of our smartification actions manual, together with relative resources, smart applications examples, and, in the near future the first results of our index application in a number of Greek islands and e the presentation of some proposals of possible actions towards their sustainable development and smartification for the municipalities - islands of Paros and Antiparos in Greece, as case studies.

  6. O índice de sustentabilidade empresarial (ISE e os impactos no endividamento e na percepção de risco The corporate sustainability index (CSI and the impacts on indebtedness and risk perception

    Directory of Open Access Journals (Sweden)

    Evimael Alves Teixeira

    2011-04-01

    Full Text Available Este estudo investigou se a forma de financiamento das empresas é afetada pela participação das firmas no Índice de Sustentabilidade Empresarial (ISE. Como objetivo complementar, foi analisada a relação entre o ISE e o risco. A fundamentação partiu da teoria da sinalização que apresenta possíveis soluções para mitigar problemas de adverse selection causados pela assimetria de informações e usada no caso de haver necessidade de tomada de decisões sobre investimentos em ambientes de incerteza. Foi utilizado um Experimento Natural, a partir de uma amostra de 378 empresas, divididas em dois grupos: um de tratamento e outro de controle, com dados em painel e duplo efeito fixo. Os resultados encontrados indicam, estatisticamente, que empresas que sinalizaram Responsabilidade Social Corporativa (RSC tiveram uma relação negativa com o endividamento e o risco, quando comparadas com aquelas que não sinalizam. Esses resultados ajudam a entender a relevância dos índices de sustentabilidade como um canal de informação crível do comprometimento da empresa com a RSC.This study investigated whether the way firms fund themselves is affected by their participation in the Corporate Sustainability Index (CSI. As a complementary objective, we analyzed the relationship between the CSI and risk, based on signaling theory, which presents possible solutions to mitigate adverse selection problems caused by asymmetric information, used when there is a need to make decisions about investments in uncertain settings. We used a natural experiment based on a sample of 378 firms, divided into a treatment and a control group, with panel data and double fixed effect. The results indicate that the signaling of corporate social responsibility (CSR was negatively related to indebtedness and risk when compared with firms that did not engage in such signaling. These results shed light on the relevance of sustainability indexes as a credible way for firms to

  7. Sustainable nuclear energy dilemma

    Directory of Open Access Journals (Sweden)

    Afgan Naim H.

    2013-01-01

    Full Text Available Sustainable energy development implies the need for the emerging potential energy sources which are not producing adverse effect to the environment. In this respect nuclear energy has gained the complimentary favor to be considered as the potential energy source without degradation of the environment. The sustainability evaluation of the nuclear energy systems has required the special attention to the criteria for the assessment of nuclear energy system before we can make firm justification of the sustainability of nuclear energy systems. In order to demonstrate the sustainability assessment of nuclear energy system this exercise has been devoted to the potential options of nuclear energy development, namely: short term option, medium term option, long term option and classical thermal system option. Criteria with following indicators are introduced in this analysis: nuclear indicator, economic indicator, environment indicator, social indicator... The Sustainability Index is used as the merit for the priority assessment among options under consideration.

  8. Design improvements to the ESI-80 wind turbine

    Energy Technology Data Exchange (ETDEWEB)

    Rogers, T.; Kleeman, A.; Manwell, J.; McGowan, J. [Univ. of Massachusetts, Amherst, MA (United States)

    1996-12-31

    This paper describes two investigations related to improvements to an ESI-80 wind turbine. One of them involved modeling the tip flaps during braking. The other was a study of the turbine behavior with various delta-3 angles. These topics are of interest since the turbine is a two-bladed, teetered, free-yaw machine with tip flaps and an adjustable delta-3 angle. Tip flaps are used for slowing the turbine during shutdown and as an emergency system to insure that the rotor does not go into an overspeed condition in the event of failure of other parts of the system. Upon deployment, the tip flaps are exposed to a number of varying forces including aerodynamic, damper, spring, centripetal, and gravitational forces and forces at the hinged connection to the blades. For maximum braking the angle of tip flap deployment needs to be as large as possible without striking the blades in overspeed conditions and when covered with ice. To investigate tip flap design tradeoffs, a dynamic model of the tip flaps on the modified ESI-80 turbine was developed. Results include a determination of the effect of the addition of weight to the flap, overspeed conditions, and changes in damping coefficient. Changes in the delta-3 angle can be used to couple pitching and flapping motions, affecting both teeter and yaw behavior. These effects have been investigated using a modified version of YawDyn. The effects of changes in the delta-3 angle on the teeter and yaw behavior of the modified ESI-80 wind turbine were investigated. Results show that increased teeter excursions in steady high winds can be reduced by increasing the delta-3 angle. Increasing the delta-3 angle may also increase yaw motion in low wind speeds. Results suggest that the optimum delta-3 angle for improved performance may be substantially greater than the presently used angle of zero degrees. 8 refs., 16 figs.

  9. Coastal Resources Atlas: Long Island: ESI (Environmental Sensitivity Index Shoreline Types - Lines and Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector lines and polygons representing the shoreline and coastal habitats of Long Island, New York, classified according to the Environmental...

  10. Socioeconomic Features - Cook Inlet/Kenai Peninsula Environmental Sensitivity Index (ESI) Summary Data

    Data.gov (United States)

    National Park Service, Department of the Interior — Point and line coverage depicting several human-use, or socioeconomic features in the Cook Inlet/Kenai Peninsula region including oil facilities, oil platforms,...

  11. Chip-based electrochromatography coupled to ESI-MS detection.

    Science.gov (United States)

    Dietze, Claudia; Hackl, Claudia; Gerhardt, Renata; Seim, Stephan; Belder, Detlev

    2016-05-01

    In this study, we present the coupling of chip-based electrochromatography to MS using a glass chip with a monolithically integrated nanoelectrospray emitter. As separation column, an acrylate-based porous polymer monolith is implemented into the glass chip by photopolymerization. For the establishment and development of this method, we used a test mixture detectable with both fluorescence and ESI-MS. After successful evaluation of the approach with the test solutes, it was applied exemplarily for drug analysis such as high-speed separations of benzodiazepines in pharmaceuticals. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  12. Sustainable Food & Sustainable Economics

    OpenAIRE

    Alvarez, Mavis Dora

    2012-01-01

    Cuba today is immersed in a very intense process of perfecting its agricultural production structures with the goal of making them more efficient and sustainable in their economic administration and in their social and environmental management. Agricultural cooperatives in Cuba have the responsibility of producing on 73% of the country's farmland. Their contributions are decisive to developing agricultural production and to ensuring more and better food for the population, in addition to redu...

  13. Gulf-Wide Information System, Environmental Sensitivity Index Database, Geographic NAD83, LDWF (2001) [esi_index_LDWF_2001

    Data.gov (United States)

    Louisiana Geographic Information Center — This data set contains polygons representing the boundaries of the USGS 1:100,000 topographic maps in the study area of the Louisiana Gulf-Wide Information System...

  14. An Emergy-Based Hybrid Method for Assessing Sustainability of the Resource-Dependent Region

    Directory of Open Access Journals (Sweden)

    Lulu Qu

    2017-01-01

    Full Text Available As the natural resources are getting exhausted, the concept of sustainable development of regions has received increasing attention, especially for resource-dependent cities. In this paper, an innovative method based on emergy analysis and the Human Impact Population Affluence Technology (IPAT model is developed to analyze the quantitative relationship of economic growth, energy consumption and its overall sustainability level. Taiyuan, a traditional, resource-dependent city in China, is selected as the case study region. The main results show that the total emergy of Taiyuan increased from 9.023 × 1023 sej in 2007 to 9.116 × 1023 sej in 2014, with a 38% decline in non-renewable emergy and an increase of imported emergy up to 125%. The regional emergy money ratio (EMB was reduced by 48% from 5.31 × 1013 sej/$ in 2007 to 2.74 × 1013 sej/$ in 2014, indicating that the increasing speed of consuming resources and energy was faster than the increase of GDP, and that Taiyuan’s money purchasing power declined. The lower emergy sustainability index (ESI indicates that Taiyuan was explored and produced large quantities of mineral resources, which puts more stress on the environment as a consequence, and that this is not sustainable in the long run. The IPAT analysis demonstrates that Taiyuan sticks to the efforts of energy conservation and environmental protection. In order to promote regional sustainable development, it is necessary to have an integrated effort. Policy insights suggest that resourceful regions should improve energy and resource efficiency, optimize energy and resourceful structure and carry out extensive public participation.

  15. Analysis of coal extracts by HPLC-ESI-MS

    Energy Technology Data Exchange (ETDEWEB)

    Jie Feng; Cui-Ping Ye; Wen-Ying Li; Ke-Chang Xie [Taiyuan University of Technology, Taiyuan (China). Key Laboratory of Coal Science and Technology

    2003-07-01

    In order to get the structure information of the coal pyridine extracts, the methods based on reverse-phase high-performance liquid chromatography (RP-HPLC) with photodiode array detector (PDA) and electro-spray ionization mass spectrometer (ESI-MS) has been developed. For the purpose of classifying the mixture according to the polarity of the compound before HPLC/MS analysis, column chromatography packed with silica gel was applied to separate coal pyridine extracts into three fractions: acetonitrile (lower), chloroform (middle), pyridine (higher). The fraction of chloroform (CHCl{sub 3}) was analyzed in this article. In the mass range of 150-1500amu, the components observed include 314.3/369.1, and 301.3/369.1, which should be the plasticizer in the solvent. Other peaks included a series of molecular ions from the beginning of 541.3amu with m/z difference 74amu (C{sub 3}H{sub 6}O{sub 2} or C{sub 4}H{sub 10}O). 541.3amu (ESI+) is the elemental structure in the series; this implied that the higher molecular mass parts in coal might consist of some basic units. And two valuable compounds containing nitrogen atom were acquired at m/z 393.5amu (C{sub 27}H{sub 39}NO) and 334.5amu (C{sub 20}H{sub 38}N{sub 4}). 11 refs., 5 figs., 1 tab.

  16. esis: un oasis intelectual en el desierto chihuahuense

    Directory of Open Access Journals (Sweden)

    Luis Antonio Payán Alvarado

    2009-01-01

    Full Text Available Durante dos décadas, la revista académica Nóesis ha sido uno de los oasis intelectuales de la investigación científica social en el estado de Chihuahua. Su trayectoria durante estos veinte años constituye, primero, un reconocimiento de nuestro rezago en la indagación científica dentro de las ciencias sociales y, segundo, un compromiso importante para subsanar nuestras deficiencias en este terreno. El presente ensayo formula tres preguntas importantes a fin de explorar la trayectoria de Nóesis: Unde venis?, Ubi es?, y Quo vadis?, mediante las cuales se pretende explorar brevemente el pasado, el presente, y el futuro de la revista, dadas las condiciones actuales de la comunidad epistémica de la Universidad Autónoma de Ciudad Juárez, del estado de Chihuahua y de la región norte de México.

  17. Evaluation of environmental impact produced by different economic activities with the global pollution index.

    Science.gov (United States)

    Zaharia, Carmen

    2012-07-01

    The paper analyses the environment pollution state in different case studies of economic activities (i.e. co-generation electric and thermal power production, iron profile manufacturing, cement processing, waste landfilling, and wood furniture manufacturing), evaluating mainly the environmental cumulative impacts (e.g. cumulative impact against the health of the environment and different life forms). The status of the environment (air, water resources, soil, and noise) is analysed with respect to discharges such as gaseous discharges in the air, final effluents discharged in natural receiving basins or sewerage system, and discharges onto the soil together with the principal pollutants expressed by different environmental indicators corresponding to each specific productive activity. The alternative methodology of global pollution index (I (GP)*) for quantification of environmental impacts is applied. Environmental data analysis permits the identification of potential impact, prediction of significant impact, and evaluation of cumulative impact on a commensurate scale by evaluation scores (ES(i)) for discharge quality, and global effect to the environment pollution state by calculation of the global pollution index (I (GP)*). The I (GP)* values for each productive unit (i.e. 1.664-2.414) correspond to an 'environment modified by industrial/economic activity within admissible limits, having potential of generating discomfort effects'. The evaluation results are significant in view of future development of each productive unit and sustain the economic production in terms of environment protection with respect to a preventive environment protection scheme and continuous measures of pollution control.

  18. Sustainable agriculture

    National Research Council Canada - National Science Library

    Lichtfouse, Eric

    2009-01-01

    ... : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 9 Part I CLIMATE CHANGE Soils and Sustainable Agriculture: A Review : : : : : : : : : : : : : : : : : : : : : : : : : : Rattan Lal 15 Soils and Food Sufficiency...

  19. Energetic analysis of environmental sustainability in the municipality of Palmira (Colombia

    Directory of Open Access Journals (Sweden)

    Iván Darío López Villalobos

    2013-10-01

    Full Text Available A rising global urban population, increases the demand for natural resources for a certain quality of life. This creates negative impacts on natural ecosystems and the survival of other species. For this reason, it is necessary to measure the state of cities as ecological systems with the pur­pose of prioritizing environmental management, in accordance to sustainable development. To this end, there exist methods of chrematistic eva­luation which exclude the work of nature to pro­vide environmental services that promote envi­ronmental sustainability. This study investigated models that foster environmental accounting and that integrate natural and urban ecosystems. The most original proposal came in the form of emer­getic synthesis, based on thermodynamic con­cepts. The municipality of Palmira was chosen as the study area, known as Techno-ecosystem, and applied a five-phase methodology, based on the emergetic synthesis method. Calculating the rate of emergy production - EYR with 1.46, En­vironmental Load Index - ELR with 3.2 and En­vironmental Sustainability Index - ESI with 0.46. The analysis indicates that environmental sustai­nability and the generation of real wealth is limi­ted by current land use, and can be improved with better use of this resource, through a transversal management process. Furthermore the Techno-ecosystem is subject to the social metabolism of the city of Cali and therefore the demand for im­ported goods and urban land use will increase, reinforcing the need for environmental manage­ment policies , as well as the need to apply to the municipality as Emerging City.  

  20. Sustainable Marketing

    NARCIS (Netherlands)

    Dam, van Y.K.

    2017-01-01

    In this article, three different conceptions of sustainable marketing are discussed and compared. These different conceptions are referred to as social, green, and critical sustainable marketing. Social sustainable marketing follows the logic of demand-driven marketing management and places the

  1. Making the Sustainable Development Goals Consistent with Sustainability

    Directory of Open Access Journals (Sweden)

    Mathis Wackernagel

    2017-07-01

    Full Text Available The UN’s Sustainable development Goals (SDGs are the most significant global effort so far to advance global sustainable development. Bertelsmann Stiftung and the sustainable development solutions network released an SDG index to assess countries’ average performance on SDGs. Ranking high on the SDG index strongly correlates with high per person demand on nature (or “Footprints”, and low ranking with low Footprints, making evident that the SDGs as expressed today vastly underperform on sustainability. Such underperformance is anti-poor because lowest-income people exposed to resource insecurity will lack the financial means to shield themselves from the consequences. Given the significance of the SDGs for guiding development, rigorous accounting is essential for making them consistent with the goals of sustainable development: thriving within the means of planet Earth.

  2. Walkability Index

    Science.gov (United States)

    The Walkability Index dataset characterizes every Census 2010 block group in the U.S. based on its relative walkability. Walkability depends upon characteristics of the built environment that influence the likelihood of walking being used as a mode of travel. The Walkability Index is based on the EPA's previous data product, the Smart Location Database (SLD). Block group data from the SLD was the only input into the Walkability Index, and consisted of four variables from the SLD weighted in a formula to create the new Walkability Index. This dataset shares the SLD's block group boundary definitions from Census 2010. The methodology describing the process of creating the Walkability Index can be found in the documents located at ftp://newftp.epa.gov/EPADataCommons/OP/WalkabilityIndex.zip. You can also learn more about the Smart Location Database at https://edg.epa.gov/data/Public/OP/Smart_Location_DB_v02b.zip.

  3. Afghanistan Index

    DEFF Research Database (Denmark)

    Linnet, Poul Martin

    2007-01-01

    The Afghanistan index is a compilation of quantitative and qualitative data on the reconstruction and security effort in Afghanistan. The index aims at providing data for benchmarking of the international performance and thus provides the reader with a quick possibility to retrieve valid...... information on progress or lack of progress in the reconstruction of the post Taliban Afghanistan. The index is mainly based on information collected on the internet in order to provide quick access to the original source. The index is under development and thus new information will be added on a continuous...

  4. Comparison of partial filling MEKC analyses of steroids with use of ESI-MS and UV spectrophotometry.

    Science.gov (United States)

    Amundsen, Lotta K; Kokkonen, Juha T; Sirén, Heli

    2008-03-01

    Until now, partial filling micellar EKC-ESI-MS (PF-MEKC-ESI-MS) has seldom been applied for human biomolecules. In this study, determination of three electrically neutral endogenous steroid hormones, namely androstenedione, testosterone, and epitestosterone, by PF-MEKC-ESI-MS was investigated. Since ESI-MS and ESI-MS/MS behaviors of testosterone and epitestosterone proved to be nearly identical, efficient separation of the two compounds was required to obtain reliable identification. The chemical conditions as well as the instrumental parameters affecting the PF-MEKC-ESI-MS analysis were researched. In optimal conditions, ESI-MS showed excellent selectivity, and all the steroids could be identified using SIM. LODs were 0.75-5 microg/mL. The results obtained by PF-MEKC-ESI-MS were compared with those obtained by corresponding PF-MEKC-UV. PF-MEKC-UV provided better resolution, repeatability, and more than ten-fold higher sensitivity, in terms of LODs, than PF-MEKC-ESI-MS. The reasons for this were carefully examined. In comparison with PF-MEKC-UV, PF-MEKC-ESI-MS suffered from greater band broadening owing to the sheath-liquid interface. Resolution was also decreased owing to the elevated capillary temperature. Finally, we discovered that in the analysis of electrically neutral compounds, in-capillary sample concentration by micellar sweeping could be more efficiently utilized in PF-MEKC-UV than in PF-MEKC-ESI-MS.

  5. Sustainable Disruptions

    DEFF Research Database (Denmark)

    Friis, Silje Alberthe Kamille; Kjær, Lykke Bloch

    2016-01-01

    Since 2012 the Sustainable Disruptions (SD) project at the Laboratory for Sustainability at Design School Kolding (DK) has developed and tested a set of design thinking tools, specifically targeting the barriers to economically, socially, and environmentally sustainable business development....... The tools have been applied in practice in collaboration with 11 small and medium sized companies (SMEs). The study investigates these approaches to further understand how design thinking can contribute to sustainable transition in a business context. The study and the findings are relevant to organizations...... invested in the issue of sustainable business development, in particular the leaders and employees of SMEs, but also to design education seeking new ways to consciously handle and teach the complexity inherent in sustainable transformation. Findings indicate that the SD design thinking approach contributes...

  6. Computational sustainability

    CERN Document Server

    Kersting, Kristian; Morik, Katharina

    2016-01-01

    The book at hand gives an overview of the state of the art research in Computational Sustainability as well as case studies of different application scenarios. This covers topics such as renewable energy supply, energy storage and e-mobility, efficiency in data centers and networks, sustainable food and water supply, sustainable health, industrial production and quality, etc. The book describes computational methods and possible application scenarios.

  7. Sustainable transformation

    DEFF Research Database (Denmark)

    Andersen, Nicolai Bo

    This paper is about sustainable transformation with a particular focus on listed buildings. It is based on the notion that sustainability is not just a question of energy conditions, but also about the building being robust. Robust architecture means that the building can be maintained and rebuilt...... theoretical lenses. It is proposed that three parameters concerning the ꞌtransformabilityꞌ of the building can contribute to a more nuanced understanding of sustainable transformation: technical aspects, programmatic requirements and narrative value. It is proposed that the concept of ꞌsustainable...

  8. Analyzing sustainable competitive advantage

    OpenAIRE

    Abdul Malek Nurul Aida; Shahzad Khuram; Takala Josu; Bojnec Stefan; Papler Drago; Liu Yang

    2016-01-01

    In today’s dynamic business environment, a key challenge for all companies is to make adaptive adjustments to their manufacturing strategy. This study demonstrates the competitive priorities of manufacturing strategy in hydro-power case company to evaluate the level of sustainable competitive advantage and also to further analyze how business strategies are aligned with manufacturing strategies. This research is based on new holistic analytical evaluation of manufacturing strategy index, sens...

  9. AP Index

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Planetary Amplitude index - Bartels 1951. The a-index ranges from 0 to 400 and represents a K-value converted to a linear scale in gammas (nanoTeslas)--a scale that...

  10. Is Globalisation Sustainable?

    Directory of Open Access Journals (Sweden)

    Mohsin Raza

    2010-01-01

    Full Text Available It is clear that globalisation is something more than a purely economic phenomenon manifesting itself on a global scale. Among the visible manifestations of globalisation are the greater international movement of goods and services, financial capital, information and people. In addition, there are technological developments, more international cultural exchanges, facilitated by the freer trade of more differentiated products as well as by tourism and immigration, changes in the political landscape and ecological consequences. In this paper, we link the Maastricht Globalisation Index with Sustainability Indices to analyse if more globalised countries are doing better in terms of sustainable development and its dimensions. The results seem to suggest that the process of globalisation may render world development more sustainable.

  11. A Magnetic Bead-Integrated Chip for the Large Scale Manufacture of Normalized esiRNAs

    Science.gov (United States)

    Wang, Zhao; Huang, Huang; Zhang, Hanshuo; Sun, Changhong; Hao, Yang; Yang, Junyu; Fan, Yu; Xi, Jianzhong Jeff

    2012-01-01

    The chemically-synthesized siRNA duplex has become a powerful and widely used tool for RNAi loss-of-function studies, but suffers from a high off-target effect problem. Recently, endoribonulease-prepared siRNA (esiRNA) has been shown to be an attractive alternative due to its lower off-target effect and cost effectiveness. However, the current manufacturing method for esiRNA is complicated, mainly in regards to purification and normalization on a large-scale level. In this study, we present a magnetic bead-integrated chip that can immobilize amplification or transcription products on beads and accomplish transcription, digestion, normalization and purification in a robust and convenient manner. This chip is equipped to manufacture ready-to-use esiRNAs on a large-scale level. Silencing specificity and efficiency of these esiRNAs were validated at the transcriptional, translational and functional levels. Manufacture of several normalized esiRNAs in a single well, including those silencing PARP1 and BRCA1, was successfully achieved, and the esiRNAs were subsequently utilized to effectively investigate their synergistic effect on cell viability. A small esiRNA library targeting 68 tyrosine kinase genes was constructed for a loss-of-function study, and four genes were identified in regulating the migration capability of Hela cells. We believe that this approach provides a more robust and cost-effective choice for manufacturing esiRNAs than current approaches, and therefore these heterogeneous RNA strands may have utility in most intensive and extensive applications. PMID:22761791

  12. Sustainable Transportation

    DEFF Research Database (Denmark)

    Hall, Ralph P.; Gudmundsson, Henrik; Marsden, Greg

    2014-01-01

    that relate to the construction and maintenance of transportation infrastructure and the operation or use of the different transportation modes. The concept of sustainable transportation emerged in response to these concerns as part of the broader notion of sustainable development. Given the transportation...

  13. Sustaining dairy

    NARCIS (Netherlands)

    Villarreal Herrera, Georgina

    2017-01-01

    Dairy in Europe has undergone many changes in the last few years—the abolition of milk production quotas being a fundamental one. This study explores these changes in relation to the sustained social and environmental viability of the sector and how dairy processors' sustainability

  14. Sustainable Universities

    DEFF Research Database (Denmark)

    Grindsted, Thomas Skou

    2011-01-01

    . Declarations tend to have impact on three trends. Firstly, there is emerging international consensus on the university’s role and function in relation to sustainable development; secondly, the emergence of national legislation, and thirdly, an emerging international competition to be leader in sustainable...... campus performance....

  15. Sustainable Transition

    DEFF Research Database (Denmark)

    Hansen, Ole Erik; Søndergård, Bent

    2014-01-01

    of agendas/vision, technologies, actors and institutions in the emergent design of an urban mobility system based on an electric car sharing system. Why. Designing for sustainability is a fundamental challenge for future design practices; designers have to obtain an ability to contribute to sustainable...

  16. Sustainable Learning

    Science.gov (United States)

    Cadwell, Louise; Dillon, Robert

    2011-01-01

    Green schools have moved into a new era that focuses on building a culture of sustainability in every aspect of learning in schools. In the early stages of sustainability education, the focus was on recycling and turning off the lights. Now, students and adults together are moving into the areas of advocacy and action that are based on a deep…

  17. Walkability Index

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Walkability Index dataset characterizes every Census 2010 block group in the U.S. based on its relative walkability. Walkability depends upon characteristics of...

  18. Diversity Index

    Data.gov (United States)

    Town of Chapel Hill, North Carolina — This map service summarizes racial and ethnic diversity in the United States in 2012.The Diversity Index shows the likelihood that two persons chosen at random from...

  19. Emergy Perspectives on the Environmental Performance and Sustainability of Small-Scale Gold Production Systems in Ghana

    Directory of Open Access Journals (Sweden)

    Ernest Frimpong Asamoah

    2017-11-01

    Full Text Available Small-scale gold mining is an important component of the Ghanaian economy but it has also caused enormous damage to local ecosystems. In this paper, an emergy analysis was conducted in Ghana to assess the environmental performance and the relative sustainability of two artisanal and small-scale gold production systems: alluvial “dig and wash” and underground “ghetto” mines. Results show that both production systems have high environmental impacts, as indicated by an environmental loading ratio (ELR of 4.31 and environmental sustainability index (ESI of 0.33 for the alluvial system and 2.53 and 0.52 for the underground system, respectively. Concerning the international trade balance, the emergy exchange ratios of the two systems are both lower than one, at, 0.23 and 0.33 for the alluvial and underground systems, respectively, indicating a significant amount of resource loss to foreign regions. This study could assist in the regulation of the small-scale mining sector bearing in mind the unsustainable nature of their activities. In addition, supporting miners to consider land rehabilitation ethics is urgently needed.

  20. Legitimising Corporate Sustainability Reporting Throughout the World

    Directory of Open Access Journals (Sweden)

    Faisal

    2012-06-01

    Full Text Available This paper explores corporate sustainability disclosure practices in a global context. A unique sample of 2009 sustainability reports from some of the world’s largest companies in 24 diverse countries are examined using a comprehensive disclosure index. These reports are analysed to better understand how company characteristics and institutional factors explain sustainability communication using a legitimacy theory framework. The world renowned Global ReportingInitiative 2006 guidelines are used as the benchmark disclosure index checklist. The empirical results indicate that the average level of sustainability disclosure is a surprisingly high 61.9 percent.Statistical analysis indicates that high profile industries and additional assurance procedures influence the disclosure of more sustainability information. Interestingly, companies operating inemerging country systems disclose more sustainability information than Anglo-Saxon or Communitarian jurisdictions. Consistent with legitimacy theory, these results suggest that these globally well known firms use sustainability disclosure as a legitimising tool.

  1. Sustainable consumption

    DEFF Research Database (Denmark)

    Prothero, Andrea; Dobscha, Susan; Freund, Jim

    2011-01-01

    This essay explores sustainable consumption and considers possible roles for marketing and consumer researchers and public policy makers in addressing the many sustainability challenges that pervade our planet. Future research approaches to this interdisciplinary topic need to be comprehensive...... and systematic and will benefit from a variety of different perspectives. There are a number of opportunities for future research, and three areas are explored in detail. First, the essay considers the inconsistency between the attitudes and behaviors of consumers with respect to sustainability; next, the agenda...... is broadened to explore the role of individual citizens in society; and finally, a macro institutional approach to fostering sustainability is explored. Each of these areas is examined in detail and possible research avenues and public policy initiatives are considered within each of these separate...

  2. Stabilizing Sustainability

    DEFF Research Database (Denmark)

    Reitan Andersen, Kirsti

    The publication of the Brundtland Report in 1987 put the topic of sustainable development on the political and corporate agenda. Defining sustainable development as “a development that meets the needs of the future without compromising the ability of future generations to meet their own needs......” (WCED, 1987, p. 43), the Report also put a positive spin on the issue of sustainability by upholding capitalist beliefs in the possibility of infinite growth in a world of finite resources. While growth has delivered benefits, however, it has done so unequally and unsustainably. This thesis focuses...... on the textile and fashion industry, one of the world’s most polluting industries and an industry to some degree notorious for leading the ‘race to the bottom’ in global labour standards. Despite being faced with increasing demands to practise sustainability, most textile and fashion companies continue to fail...

  3. Sustainability reporting

    NARCIS (Netherlands)

    Kolk, A.

    2005-01-01

    This article gives an overview of developments in sustainability (also sometimes labelled corporate social responsibility) reporting. The article will first briefly indicate how accountability on social and environmental issues started, already in the 1970s when social reports were published.

  4. Sustainable Cities

    DEFF Research Database (Denmark)

    Georg, Susse; Garza de Linde, Gabriela Lucía

    Judging from the number of communities and cities striving or claiming to be sustainable and how often eco-development is invoked as the means for urban regeneration, it appears that sustainable and eco-development have become “the leading paradigm within urban development” (Whitehead 2003......), urban design competitions are understudied mechanisms for bringing about field level changes. Drawing on actor network theory, this paper examines how urban design competitions may bring about changes within the professional field through the use of intermediaries such as a sustainable planning....../assessment tool. The context for our study is urban regeneration in one Danish city, which had been suffering from industrial decline and which is currently investing in establishing a “sustainable city”. Based on this case study we explore how the insights and inspiration evoked in working with the tool...

  5. Sustainable responsibilities?

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

    2015-01-01

    This working paper analyzes the conceptions of corporate responsibility for sustainable development in EU policies on CSR. The notion of corporate responsibility has until recently been limited to economical and legal responsibilities. Based on this narrow conception of corporate responsibility.......e. a combination of destruction and construction, this chapter will deconstruct conceptions of responsibility for sustainable development in these EU documents on CSR. A deconstructive conceptual analysis involves destructing dominant interpretations of a text and allowing for constructions of alternative...... such as sustainability actually means, but on what the concept says and does not say. A deconstructive analysis of EU policies on CSR, then, pinpoints that such policies are sites of conceptual struggles. This kind of analysis is suitable for studying conceptions of corporate responsibility for sustainable development...

  6. Agriculture: Sustainability

    Science.gov (United States)

    Sustainability creates and maintains the conditions under which humans and nature can exist in productive harmony, that permit fulfilling the food, feed, and fiber needs of our country and the social, economic and other requirements.

  7. Sustainable finance

    OpenAIRE

    Boersma-de Jong, Margreet F.

    2012-01-01

    Presentation for Springschool of Strategy, University of Groningen, 10 October 2012. The role of CSR is to stimulate ethical behaviour, and as a result, mutual trust in society. Advantage of CSR for the company and the evolution of CSR. From CSR to Sustainable Finance: how does CSR influence Sustainable Business Administration & Management Accounting, Financial Leadership and what is the importance of CSR in the financial sector

  8. SUSTAINABLE TRANSPORTATION

    Directory of Open Access Journals (Sweden)

    Linda STEG

    2007-01-01

    Full Text Available This paper discusses possible contributions of psychologists to sustainable transportation. It is argued that in order to reach sustainable transportation, among others, behaviour changes of individual car users are needed. As transport policies will be more effective if they target important antecedents of travel behaviour, first, factors influencing such behaviour are discussed. It is argued that car use is very attractive and sometimes even necessary for many different reasons. This implies that a combination of policies is called for, each targeting different factors that support car use and hinder the use of more sustainable modes of transport. Next, the paper elaborates on policy strategies that may be employed to achieve sustainable transportation by changing car use. Increasing the attractiveness of sustainable transport modes by means of pull measures seems not sufficient to reduce the level of car use. Besides, car use should be made less attractive by means of push measures to force drivers to reconsider their travel behaviour. The acceptability of such policies may be increased by clearly communicating the aim of these policies, and the expected positive consequences (e.g., less congestion, improved environmental quality. Moreover, possible negative effects for individual freedom may be compensated by implementing additional policies aimed at facilitating the use of sustainable transport modes.

  9. Reliability of the Emergency Severity Index: Meta-analysis.

    Science.gov (United States)

    Mirhaghi, Amir; Heydari, Abbas; Mazlom, Reza; Hasanzadeh, Farzaneh

    2015-02-01

    Although triage systems based on the Emergency Severity Index (ESI) have many advantages in terms of simplicity and clarity, previous research has questioned their reliability in practice. Therefore, the aim of this meta-analysis was to determine the reliability of ESI triage scales. This meta-analysis was performed in March 2014. Electronic research databases were searched and articles conforming to the Guidelines for Reporting Reliability and Agreement Studies were selected. Two researchers independently examined selected abstracts. Data were extracted in the following categories: version of scale (latest/older), participants (adult/paediatric), raters (nurse, physician or expert), method of reliability (intra/inter-rater), reliability statistics (weighted/unweighted kappa) and the origin and publication year of the study. The effect size was obtained by the Z-transformation of reliability coefficients. Data were pooled with random-effects models and a meta-regression was performed based on the method of moments estimator. A total of 19 studies from six countries were included in the analysis. The pooled coefficient for the ESI triage scales was substantial at 0.791 (95% confidence interval: 0.787-0.795). Agreement was higher with the latest and adult versions of the scale and among expert raters, compared to agreement with older and paediatric versions of the scales and with other groups of raters, respectively. ESI triage scales showed an acceptable level of overall reliability. However, ESI scales require more development in order to see full agreement from all rater groups. Further studies concentrating on other aspects of reliability assessment are needed.

  10. Sustainable markets for sustainable energy

    Energy Technology Data Exchange (ETDEWEB)

    Millan, J.; Smyser, C.

    1997-12-01

    The author discusses how the Inter-American Development Bank (IDB) is involved in sustainable energy development. It presently has 50 loans and grants for non conventional renewable energy projects and ten grants for efficiency programs for $600 and $17 million respectively, representing 100 MW of power. The IDB is concerned with how to create a sustainable market for sustainable energy projects. The IDB is trying to work with government, private sector, NGOs, trading allies, credit sources, and regulators to find proper roles for such projects. He discusses how the IDB is working to expand its vision and objectives in renewable energy projects in Central and South America.

  11. Accuracy of Emergency Severity Index, Version 4 in emergency room patients’ classification

    Directory of Open Access Journals (Sweden)

    Samad EJ Golzari

    2014-02-01

    Full Text Available Introduction: Emergency Severity Index Version 4 (ESI v.4 is a validated triage tool for emergency departments, with an easy training system optimizing the allocation of limitedresources to emergency patients. The present study aimed to determine the outcomes of triagewith ESI v.4 method in all five levels of patients triage in emergency departments. Methods: In this retrospective observational-descriptive study, following the training coursesand implementation of triage with ESI v.4 method, the third quarter of 2008 was randomly selected for study. In this period, all patient files with their codes ending in zero were selectedequaling one-tenth of all files. Triage levels and outcomes were extracted and the obtaineddata from 1309 were expressed using descriptive statistics. Results: The mean age of the patients was 40.73 ± 21.37 years and 59.4% of the subjects weremales. Classification of patients by ESI v.4 level was as the following: 1 (4.0%, 2 (11.6%, 3 (52.8%, 4 (25.5% and 5 (6.1%. Hospitalization rate by ESI v.4 level was as below: 1(80.76%, 2 (23.68%, 3 (25.75%, 4 (11.76% and 5 (14.5%. Conclusion: The rate of hospitalization decreased from ESI level 1 to ESI level 5. Althoughthe findings of this study were in line with the previous reports, some discrepancies indicated the existing inaccuracy in out-patient hospitalization system in the evening and night shiftsand also at stage 5 triage level.

  12. [Evidence of the validity of the Emergency Severity Index for triage in a general hospital emergency department].

    Science.gov (United States)

    Hernández Ruipérez, Tomás; Leal Costa, César; Adánez Martínez, María de Gracia; García Pérez, Bartolomé; Nova López, Daniel; Díaz Agea, José Luis

    2015-10-01

    To determine whether the Emergency Severity Index (ESI) is valid for triage according to evidence based on classifying real patients in a general referral hospital's emergency department. Observational, cross-sectional descriptive study carried out in the emergency department of Hospital Clínico Universitario Virgen de la Arrixaca in Murcia. Thirty-two nurses used the ESI algorithm to triage 410 patients as they arrived seeking care. The results were compared to a gold standard (a triage expert's opinion, which was later confirmed by an expert committee after discussion, if necessary, of cases for which opinions were not unanimous). We calculated sensitivity, specificity, under- and over-triage rates, as well as descriptive statistics about resource assignment, exitus, patients who left without being seen, destination on discharge, and times. ESI was highly correlated with resources (ρ = -0.717, P < .01) and moderately correlated with destination on discharge (ρ = -0.437, P < .01). Regarding time spent in the department, we found that patients assigned ESI levels 1 and 2 had significantly longer stays, and those assigned ESI levels 4 and 5 had significantly shorter stays (p < 0,001). Interobserver agreement was good or very good, indicating that this triage tool is reliable. This pilot of the ESI triage algorithm in the emergency department of a referral hospital found evidence supporting the system's validity.

  13. Definitive screening design enables optimization of LC-ESI-MS/MS parameters in proteomics.

    Science.gov (United States)

    Aburaya, Shunsuke; Aoki, Wataru; Minakuchi, Hiroyoshi; Ueda, Mitsuyoshi

    2017-12-01

    In proteomics, more than 100,000 peptides are generated from the digestion of human cell lysates. Proteome samples have a broad dynamic range in protein abundance; therefore, it is critical to optimize various parameters of LC-ESI-MS/MS to comprehensively identify these peptides. However, there are many parameters for LC-ESI-MS/MS analysis. In this study, we applied definitive screening design to simultaneously optimize 14 parameters in the operation of monolithic capillary LC-ESI-MS/MS to increase the number of identified proteins and/or the average peak area of MS1. The simultaneous optimization enabled the determination of two-factor interactions between LC and MS. Finally, we found two parameter sets of monolithic capillary LC-ESI-MS/MS that increased the number of identified proteins by 8.1% or the average peak area of MS1 by 67%. The definitive screening design would be highly useful for high-throughput analysis of the best parameter set in LC-ESI-MS/MS systems.

  14. Author Index

    Indian Academy of Sciences (India)

    Astr. (2010) 31, 221–222. Author Index. Aggarwal Malini see Jain Rajmal, 155. Aghaee, A. Determination of the Mean Hi Absorption of the Intergalactic. Medium, 59. Agrawal, S. P. see Singh Ambika, 89. Biesiada Marek Could the Optical Transient SCP 06F6 be due to Micro- lensing?, 213. C¸ aliskan, S . see Küçük, ˙I., 135.

  15. SUBJECT INDEX

    Indian Academy of Sciences (India)

    Subject Index. Variation of surface electric field during geomagnetic disturbed period at Maitri, Antarctica. 1721. Geomorphology. A simple depression-filling method for raster and irregular elevation datasets. 1653. Decision Support System integrated with Geographic. Information System to target restoration actions in water-.

  16. INDEX-2004

    Indian Academy of Sciences (India)

    Yogananda C S (6) 51 (GA); (7) 86 (BR). SUBJECT INDEX. A Nephew Remembers (12) 78 (PR). A Personal Memoir of Dr Beatrice Tinsley,. Astronomer (5) 84 (BR). Abelian groups (7) 70 (CR). Accelerograms (8) 79 (CR). Action potential (2) 72 (GA). Alcohol (10) 41 (GA). Algae (5) 33 (GA). Algebraic Topology (10) 86 (BR).

  17. INDEXING MECHANISM

    Science.gov (United States)

    Kock, L.J.

    1959-09-22

    A device is presented for loading and unloading fuel elements containing material fissionable by neutrons of thermal energy. The device comprises a combination of mechanical features Including a base, a lever pivotally attached to the base, an Indexing plate on the base parallel to the plane of lever rotation and having a plurality of apertures, the apertures being disposed In rows, each aperture having a keyway, an Index pin movably disposed to the plane of lever rotation and having a plurality of apertures, the apertures being disposed in rows, each aperture having a keyway, an index pin movably disposed on the lever normal to the plane rotation, a key on the pin, a sleeve on the lever spaced from and parallel to the index pin, a pair of pulleys and a cable disposed between them, an open collar rotatably attached to the sleeve and linked to one of the pulleys, a pin extending from the collar, and a bearing movably mounted in the sleeve and having at least two longitudinal grooves in the outside surface.

  18. AUTHOR INDEX

    Indian Academy of Sciences (India)

    user1

    AUTHOR INDEX. Abtahi Fatemeh. Completely continuous and weakly co- mpletely continuous abstract Segal algebras. 539. Afrouzi G A. Remark on an infinite semipositone prob- lem with indefinite weight and falling zeros. 145. Balasubramanian R. Density of primes in l-th power residues. 19. Banerjee Pradipto. Divisibility ...

  19. AUTHOR INDEX

    Indian Academy of Sciences (India)

    AUTHOR INDEX. Abada Asmaa see Das Debottam. 867. Abbas Gauhar. Constraints on the Kl3 form factors from analyticity and unitarity. 891. Abou El-Ela F M. Electron transport in wurtzite InN. 125. Adachi M M see Kumar Sunil ..... Trottier-McDonald Michel. Tau reconstruction, energy calibration and identification at ATLAS.

  20. Index Fossils

    Indian Academy of Sciences (India)

    Permanent link: http://www.ias.ac.in/article/fulltext/reso/011/10/0069-0077. Keywords. Index fossil; guide fossil; correlation; age determination; Dicroidium; Glossopteris. Author Affiliations. Dipanjan Ghosh1. Biological Science Department Kirnahar Shib Chandra High School Kirnahar, Birbhum 731302, West Bengal, India.