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Comparison Study on Ways of Ecological Vulnerability Assessment ----- A Case Study in the Hengyang Basin

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成果类型:
期刊论文、会议论文
作者:
Li, Yin;Tian, Ya-ping*;Li, Chao-kui
通讯作者:
Tian, Ya-ping
作者机构:
[Li, Chao-kui; Li, Yin] Hunan Univ Sci & Technol, Inst Geospatial Informat Sci, Xiangtan 411201, Peoples R China.
[Tian, Ya-ping] Hengyang Normal Univ, Dept Resources Environm & Tourism Management, Hengyang 421008, Peoples R China.
[Tian, Ya-ping] Hunan Univ Sci & Technol, Grad Innovat Fdn, Changsha, Hunan, Peoples R China.
通讯机构:
[Tian, Ya-ping] H
Hunan Univ Sci & Technol, Grad Innovat Fdn, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Ecological vulnerability;Index system;Hierarchical analysis;Principal component analysis;Clustering analysis;BP artificial neural network model
期刊:
Procedia Environmental Sciences
ISSN:
1878-0296
年:
2011
卷:
10
期:
PART C
页码:
2067-2074
会议名称:
3rd International Conference on Environmental Science and Information Application Technology (ESIAT)
会议论文集名称:
Procedia Environmental Sciences
会议时间:
AUG 20-21, 2011
会议地点:
Xian, PEOPLES R CHINA
会议主办单位:
[Li, Yin;Li, Chao-kui] Hunan Univ Sci & Technol, Inst Geospatial Informat Sci, Xiangtan 411201, Peoples R China.^[Tian, Ya-ping] Hengyang Normal Univ, Dept Resources Environm & Tourism Management, Hengyang 421008, Peoples R China.
会议赞助商:
Hong Kong Educ, Engn Technol Press, Asia Pacific Environm Sci Res Ctr, Wuhan Univ, Huazhong Normal Univ, China Univ Geosci, Wuhan Inst Technol
主编:
Wu, Y
出版地:
SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
出版者:
ELSEVIER SCIENCE BV
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [40971067]; Hunan University of Science and Technology, China [S100130]
机构署名:
本校为其他机构
院系归属:
地理与旅游学院
摘要:
In the paper, Authors separately used analytical hierarchy process, expert scoring method, principal component and BP network to establish the weights of ecological vulnerability evaluation Index system in the Hengyang Basin as a case, and used hierarchical-comprehensive index -clustering model, principal component-comprehensive index-clustering analysis model, expert scoring-composite index-clustering analysis model, BP artificial neural network model to evaluate separately the reality vulnerability in 2000. The results shows that study area are moderate weak, and the results broadly similar....

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