Water Resources Vulnerability Assessment based on the Parametric-system Method: a Case Study of the Zhangjiakou Region of Guanting Reservoir Basin, North China

被引:12
|
作者
Wang, X. [1 ]
Ma, F. B. [1 ]
Li, J. Y. [2 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Key Lab MOE Water & Sediment Sci, Beijing 100875, Peoples R China
[2] CNPC Res Inst Safety & Environm Technol, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Water resources vulnerability; quantitative assessment; parametric-system method; Zhangjiakou region;
D O I
10.1016/j.proenv.2012.01.114
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
A water resources vulnerability (WRV) assessment is important to maintain water resources safety in a basin. In this paper, an index system, including four subsystems - the hydrological subsystem, the socioeconomic subsystem, the eco-environment subsystem and the hydraulic engineering subsystem, is constructed for an integrated WRV assessment of the Zhangjiakou region of the Guanting Reservoir Basin, North China. The parametric-system (PS) method based on background value is used for the quantitative WRV assessment of each subsystem and of the integrated water resources system. The results of the calculations show that the degree of vulnerability of Guanting Reservoir Basin is quite serious, with Zhangjiakou City being extremely vulnerable, and Yanqing County and Zhuolu County mildly vulnerable. The assessment process and results, as well as the characteristics of the method used, have been compared with those of the fuzzy optimization (FO) method and the grey relational analysis (GRA) method. The parametric-system (PS) method is appropriate for level classification and rank analysis of many samples in the system, with the obvious advantage of employing the simple process of linear calculation for both the assessment and reference systems. In practical calculation, multiple methods should be used comprehensively, so as to provide a more rational decision-making basis for water resources management. (C) 2011 Published by Elsevier B.V. Selection and/or peer-review under responsibility of School of Environment, Beijing Normal University.
引用
收藏
页码:1204 / 1212
页数:9
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