Regional Assessment of Eco-environmental Vulnerability Based on GIS A Case Study of Hubei Province, China
The regional eco-environment quality is the base of the sustainable development. This paper developed an eco-environmental vulnerability evaluation model using spatial principle component analysis (SPCA) and eco-environment vulnerability index method. This method was carried out in a case study of H...
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creator | Lu Li Zhihua Shi Dun Zhu Chongfa Cai Tianwei Wang |
description | The regional eco-environment quality is the base of the sustainable development. This paper developed an eco-environmental vulnerability evaluation model using spatial principle component analysis (SPCA) and eco-environment vulnerability index method. This method was carried out in a case study of Hubei Province, China. The vulnerability was classified into six levels: potential, slight, light, medial, heavy, and extreme level. The results showed that the majority of Hubei Province was at slight, light or medial vulnerable level and the environmental vulnerability was increased from south to north. |
doi_str_mv | 10.1109/ESIAT.2009.420 |
format | Conference Proceeding |
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This paper developed an eco-environmental vulnerability evaluation model using spatial principle component analysis (SPCA) and eco-environment vulnerability index method. This method was carried out in a case study of Hubei Province, China. The vulnerability was classified into six levels: potential, slight, light, medial, heavy, and extreme level. The results showed that the majority of Hubei Province was at slight, light or medial vulnerable level and the environmental vulnerability was increased from south to north.</description><identifier>ISBN: 9780769536828</identifier><identifier>ISBN: 0769536824</identifier><identifier>DOI: 10.1109/ESIAT.2009.420</identifier><identifier>LCCN: 2009902790</identifier><language>eng</language><publisher>IEEE</publisher><subject>Agriculture ; eco-environment vulnerability ; Geographic Information Systems ; GIS ; Hubei Province ; Humans ; Numerical models ; Principal component analysis ; regional assessment ; Remote sensing ; Reservoirs ; Rivers ; Soil ; SPAC ; Sustainable development</subject><ispartof>2009 International Conference on Environmental Science and Information Application Technology, 2009, Vol.1, p.175-178</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5200092$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5200092$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lu Li</creatorcontrib><creatorcontrib>Zhihua Shi</creatorcontrib><creatorcontrib>Dun Zhu</creatorcontrib><creatorcontrib>Chongfa Cai</creatorcontrib><creatorcontrib>Tianwei Wang</creatorcontrib><title>Regional Assessment of Eco-environmental Vulnerability Based on GIS A Case Study of Hubei Province, China</title><title>2009 International Conference on Environmental Science and Information Application Technology</title><addtitle>ESIAT</addtitle><description>The regional eco-environment quality is the base of the sustainable development. This paper developed an eco-environmental vulnerability evaluation model using spatial principle component analysis (SPCA) and eco-environment vulnerability index method. This method was carried out in a case study of Hubei Province, China. The vulnerability was classified into six levels: potential, slight, light, medial, heavy, and extreme level. The results showed that the majority of Hubei Province was at slight, light or medial vulnerable level and the environmental vulnerability was increased from south to north.</description><subject>Agriculture</subject><subject>eco-environment vulnerability</subject><subject>Geographic Information Systems</subject><subject>GIS</subject><subject>Hubei Province</subject><subject>Humans</subject><subject>Numerical models</subject><subject>Principal component analysis</subject><subject>regional assessment</subject><subject>Remote sensing</subject><subject>Reservoirs</subject><subject>Rivers</subject><subject>Soil</subject><subject>SPAC</subject><subject>Sustainable development</subject><isbn>9780769536828</isbn><isbn>0769536824</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotUMFOwzAUi4QmAWNXLlzyAXQkL03TdyzV2CZNArHBdUrbVwjqUtR0k_b3awW-WLZlH8zYvRRzKQU-LbbrbDcHIXAeg7hiMzSpMAlqlaSQTtjtGKEAg-KazUL4EQMUxkbCDXPv9OVabxuehUAhHMj3vK35omwj8ifXtX60hvzz2HjqbOEa15_5sw1U8dbz5XrLM54Pkm_7Y3Uey6tjQY6_de3J-ZIeef7tvL1jk9o2gWb_PGUfL4tdvoo2r8t1nm0iJ43uI5tCDAVinIKuldUKpNVSWaMTKbWOTYVSogRQpYEYRQmFMErp0iSmJkQ1ZQ9_u46I9r-dO9juvNfDCQJBXQAPIlWE</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Lu Li</creator><creator>Zhihua Shi</creator><creator>Dun Zhu</creator><creator>Chongfa Cai</creator><creator>Tianwei Wang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200907</creationdate><title>Regional Assessment of Eco-environmental Vulnerability Based on GIS A Case Study of Hubei Province, China</title><author>Lu Li ; Zhihua Shi ; Dun Zhu ; Chongfa Cai ; Tianwei Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-a8242b994825f3a5321a513a756115547d91191223c72490c2b07335c767fe993</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agriculture</topic><topic>eco-environment vulnerability</topic><topic>Geographic Information Systems</topic><topic>GIS</topic><topic>Hubei Province</topic><topic>Humans</topic><topic>Numerical models</topic><topic>Principal component analysis</topic><topic>regional assessment</topic><topic>Remote sensing</topic><topic>Reservoirs</topic><topic>Rivers</topic><topic>Soil</topic><topic>SPAC</topic><topic>Sustainable development</topic><toplevel>online_resources</toplevel><creatorcontrib>Lu Li</creatorcontrib><creatorcontrib>Zhihua Shi</creatorcontrib><creatorcontrib>Dun Zhu</creatorcontrib><creatorcontrib>Chongfa Cai</creatorcontrib><creatorcontrib>Tianwei Wang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lu Li</au><au>Zhihua Shi</au><au>Dun Zhu</au><au>Chongfa Cai</au><au>Tianwei Wang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Regional Assessment of Eco-environmental Vulnerability Based on GIS A Case Study of Hubei Province, China</atitle><btitle>2009 International Conference on Environmental Science and Information Application Technology</btitle><stitle>ESIAT</stitle><date>2009-07</date><risdate>2009</risdate><volume>1</volume><spage>175</spage><epage>178</epage><pages>175-178</pages><isbn>9780769536828</isbn><isbn>0769536824</isbn><abstract>The regional eco-environment quality is the base of the sustainable development. This paper developed an eco-environmental vulnerability evaluation model using spatial principle component analysis (SPCA) and eco-environment vulnerability index method. This method was carried out in a case study of Hubei Province, China. The vulnerability was classified into six levels: potential, slight, light, medial, heavy, and extreme level. The results showed that the majority of Hubei Province was at slight, light or medial vulnerable level and the environmental vulnerability was increased from south to north.</abstract><pub>IEEE</pub><doi>10.1109/ESIAT.2009.420</doi><tpages>4</tpages></addata></record> |
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subjects | Agriculture eco-environment vulnerability Geographic Information Systems GIS Hubei Province Humans Numerical models Principal component analysis regional assessment Remote sensing Reservoirs Rivers Soil SPAC Sustainable development |
title | Regional Assessment of Eco-environmental Vulnerability Based on GIS A Case Study of Hubei Province, China |
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