RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China
Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 3...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yang, Guifang [verfasserIn] Chen, Zhenghong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
Eco-environmental vulnerability |
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| Übergeordnetes Werk: |
Enthalten in: Natural hazards - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988, 78(2015), 2 vom: 19. Apr., Seite 1145-1161 |
|---|---|
| Übergeordnetes Werk: |
volume:78 ; year:2015 ; number:2 ; day:19 ; month:04 ; pages:1145-1161 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11069-015-1762-2 |
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| Katalog-ID: |
SPR01632353X |
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| 245 | 1 | 0 | |a RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China |
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| 520 | |a Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. | ||
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| 650 | 4 | |a Source area of the Lishui River |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Chen, Zhenghong |e verfasserin |4 aut | |
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10.1007/s11069-015-1762-2 doi (DE-627)SPR01632353X (SPR)s11069-015-1762-2-e DE-627 ger DE-627 rakwb eng 550 ASE 31.00 bkl 43.48 bkl Yang, Guifang verfasserin aut RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. Eco-environmental vulnerability (dpeaa)DE-He213 Fuzzy multiattribute assessment (FMA) (dpeaa)DE-He213 Geo-hazards (dpeaa)DE-He213 Source area of the Lishui River (dpeaa)DE-He213 Chen, Zhenghong verfasserin aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 78(2015), 2 vom: 19. Apr., Seite 1145-1161 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:78 year:2015 number:2 day:19 month:04 pages:1145-1161 https://dx.doi.org/10.1007/s11069-015-1762-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE 43.48 ASE AR 78 2015 2 19 04 1145-1161 |
| spelling |
10.1007/s11069-015-1762-2 doi (DE-627)SPR01632353X (SPR)s11069-015-1762-2-e DE-627 ger DE-627 rakwb eng 550 ASE 31.00 bkl 43.48 bkl Yang, Guifang verfasserin aut RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. Eco-environmental vulnerability (dpeaa)DE-He213 Fuzzy multiattribute assessment (FMA) (dpeaa)DE-He213 Geo-hazards (dpeaa)DE-He213 Source area of the Lishui River (dpeaa)DE-He213 Chen, Zhenghong verfasserin aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 78(2015), 2 vom: 19. Apr., Seite 1145-1161 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:78 year:2015 number:2 day:19 month:04 pages:1145-1161 https://dx.doi.org/10.1007/s11069-015-1762-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE 43.48 ASE AR 78 2015 2 19 04 1145-1161 |
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10.1007/s11069-015-1762-2 doi (DE-627)SPR01632353X (SPR)s11069-015-1762-2-e DE-627 ger DE-627 rakwb eng 550 ASE 31.00 bkl 43.48 bkl Yang, Guifang verfasserin aut RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. Eco-environmental vulnerability (dpeaa)DE-He213 Fuzzy multiattribute assessment (FMA) (dpeaa)DE-He213 Geo-hazards (dpeaa)DE-He213 Source area of the Lishui River (dpeaa)DE-He213 Chen, Zhenghong verfasserin aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 78(2015), 2 vom: 19. Apr., Seite 1145-1161 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:78 year:2015 number:2 day:19 month:04 pages:1145-1161 https://dx.doi.org/10.1007/s11069-015-1762-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE 43.48 ASE AR 78 2015 2 19 04 1145-1161 |
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10.1007/s11069-015-1762-2 doi (DE-627)SPR01632353X (SPR)s11069-015-1762-2-e DE-627 ger DE-627 rakwb eng 550 ASE 31.00 bkl 43.48 bkl Yang, Guifang verfasserin aut RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. Eco-environmental vulnerability (dpeaa)DE-He213 Fuzzy multiattribute assessment (FMA) (dpeaa)DE-He213 Geo-hazards (dpeaa)DE-He213 Source area of the Lishui River (dpeaa)DE-He213 Chen, Zhenghong verfasserin aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 78(2015), 2 vom: 19. Apr., Seite 1145-1161 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:78 year:2015 number:2 day:19 month:04 pages:1145-1161 https://dx.doi.org/10.1007/s11069-015-1762-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE 43.48 ASE AR 78 2015 2 19 04 1145-1161 |
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10.1007/s11069-015-1762-2 doi (DE-627)SPR01632353X (SPR)s11069-015-1762-2-e DE-627 ger DE-627 rakwb eng 550 ASE 31.00 bkl 43.48 bkl Yang, Guifang verfasserin aut RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. Eco-environmental vulnerability (dpeaa)DE-He213 Fuzzy multiattribute assessment (FMA) (dpeaa)DE-He213 Geo-hazards (dpeaa)DE-He213 Source area of the Lishui River (dpeaa)DE-He213 Chen, Zhenghong verfasserin aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 78(2015), 2 vom: 19. Apr., Seite 1145-1161 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:78 year:2015 number:2 day:19 month:04 pages:1145-1161 https://dx.doi.org/10.1007/s11069-015-1762-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE 43.48 ASE AR 78 2015 2 19 04 1145-1161 |
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Yang, Guifang |
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550 ASE 31.00 bkl 43.48 bkl RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China Eco-environmental vulnerability (dpeaa)DE-He213 Fuzzy multiattribute assessment (FMA) (dpeaa)DE-He213 Geo-hazards (dpeaa)DE-He213 Source area of the Lishui River (dpeaa)DE-He213 |
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rs-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the lishui river of northwest hunan province, china |
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RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China |
| abstract |
Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. |
| abstractGer |
Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. |
| abstract_unstemmed |
Abstract Intrinsic uncertainties within geo-hazards affecting the source area of the Lishui River region exhibit chief challenges for environmental management and regional development. This study employs a fuzzy multiattribute approach to rank the eco-environmental vulnerability to geo-hazards for 38 given geographic units in the study area. The closeness coefficients for alternatives are applied to sort the eco-environmental vulnerability based on the distances of alternatives from the fuzzy positive-ideal and fuzzy negative-ideal solutions. The multiple attributes used in the ranking are geological characteristics, geological hazards, and human impacts. In general, results of the multiattribute method are consistent with those of a synthetic index method. Our results suggest that geological configurations/characteristics and the associated range and density of geo-hazards are the critical determinants of eco-environmental vulnerability. Human activities, however, slightly increase the overall vulnerability of geographic units. Results of the study aid preliminary resource exploitation and eco-environmental protection, yielding support for the long-term sustainable development of the region. |
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2 |
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RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China |
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https://dx.doi.org/10.1007/s11069-015-1762-2 |
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Chen, Zhenghong |
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Chen, Zhenghong |
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| doi_str |
10.1007/s11069-015-1762-2 |
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2024-07-03T22:23:14.599Z |
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| score |
7.398863 |