globalchange  > 气候减缓与适应
DOI: 10.3390/e21010014
WOS记录号: WOS:000459740300014
论文题名:
Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China
作者: Chen, Yan1; Feng, Yazhong1; Zhang, Fan2; Wang, Lei3
通讯作者: Chen, Yan
刊名: ENTROPY
ISSN: 1099-4300
出版年: 2019
卷: 21, 期:1
语种: 英语
英文关键词: Huai River basin water system ; water resources vulnerability evaluation ; key vulnerable factor identification ; rough set-cloud model
WOS关键词: CLIMATE-CHANGE ; MANAGEMENT ; REGION ; RISK
WOS学科分类: Physics, Multidisciplinary
WOS研究方向: Physics
英文摘要:

Assessing water resources vulnerability is the foundation of local water resources management. However, as one of the major water systems in China, there is no existing evaluation index system that can effectively assess water resource vulnerability for the Huai River basin. To address this issue, we identified key vulnerability factors, constructed an evaluation index system, and applied such system to evaluate water resources vulnerability for the Huai River basin empirically in this paper. Specifically, our evaluation index system consists of 18 indexes selected from three different aspects: water shortage, water pollution, and water-related natural disaster. Then, the improved blind deletion rough set method was used to reduce the size of the evaluation index while keep the evaluation power. In addition, the improved conditional information entropy rough set method was employed to calculate the weights of evaluation indexes. Based on the reduced index system and calculated weights, a rough set cloud model was applied to carry out the vulnerability evaluation. The empirical results show that the Huai River basin water resources were under severe vulnerability conditions for most of the time between 2000 and 2016, and the Most Stringent Water Resources Management System (MS-WRMS) established in 2012 did not work effectively as expected.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/126798
Appears in Collections:气候减缓与适应

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作者单位: 1.Nanjing Forestry Univ, Coll Econ & Management, Nanjing 210037, Jiangsu, Peoples R China
2.Louisiana State Univ, Sch Renewable Nat Resources, Baton Rouge, LA 70803 USA
3.Nanjing Univ Informat Sci & Technol, Teachers & Teaching Dev Ctr, Nanjing 210044, Jiangsu, Peoples R China

Recommended Citation:
Chen, Yan,Feng, Yazhong,Zhang, Fan,et al. Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China[J]. ENTROPY,2019-01-01,21(1)
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