关中地区水土资源承载力复合指标体系及综合评价

南彩艳; 粟晓玲; 佟玲; 李楷; 史银军; 徐万林; 杨雪菲

Soil-water resources carrying capacity index system and comprehensive evaluation in Guanzhong area

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DOI：10.7606/j.issn.1000-7601.2011.06.31

Key Words: water-land resources carrying capacity index system improved fuzzy comprehensive evaluation Guanzhong area

Author Name	Affiliation
NAN Caiyan	College of Water Resources and Architectural Engineering， Northwest A & F University, Yangling 712100，China
SU Xiaoling	College of Water Resources and Architectural Engineering， Northwest A & F University, Yangling 712100，China
TONG Ling	Center for Agriculural Water Research in China, China Agriculural University， Beijing 100083, China
LI kai	College of Water Resources and Architectural Engineering， Northwest A & F University, Yangling 712100，China
SHI Yinjun	College of Water Resources and Architectural Engineering， Northwest A & F University, Yangling 712100，China
XU Wanlin	College of Water Resources and Architectural Engineering， Northwest A & F University, Yangling 712100，China
YANG Xuefei	College of Water Resources and Architectural Engineering， Northwest A & F University, Yangling 712100，China

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Abstract:

Most of curent researches of soil water resources carrying capacity (SWRCC) focus on single factor of either water resources or land resources and have been limited by their one sidedness and singleness. This paper estab-lishes a composite SWRCC index system which is composed of six sub systems of water resources，land resources, tech-nological efficacy， social，economic and ecological environment that contain 20 evaluation factors. The improved fuzzy comprehensive evaluation model is used for the evaluation of SWRCC in the study area. The subjective factor weights based on fuzzy set decision theory are given to modify the entropy weights of evaluation factors in the model to allocate the weights more reliably. The validity indexes are introduced to judge the effectiveness of assessment results obtained from original fuzzy comprehensive evaluation and failed samples are reevaluated using the selection nearness principle based on closeness degree to improve the credibility of comprehensive evaluation results. The results of research demonstrate that Xianyang has a SWRCC level of II close to being overload and other cities of Guanzhong area have the SWRCC level of Ⅲ indicating a basic balance. The SWRCC in the cities of Guanzhong area ranking from excellent to poor are Baoji, fol-lowed by Xi an, Tongchuan, Weinan, Xianyang. The SWRCC of Baoji, Xianyang， Weinan will be improved in the oming years while Tongchuan has the opposite result . Meanwhile, SWRCC of Xi an will increase in 2015，but has a slight decrease in 2025. The SWRCC indexes system in this study is feasible and reasonable, and the improved compre-hensive evaluation results could truly reflect the situation of regional SWRCC in the study area.