Regional water resource carrying capacity evaluation based on multi-dimensional precondition cloud and risk matrix coupling model

被引：58
作者：
Wu, Chengguo [1 ,2 ]
Zhou, Liyang [1 ]
Jin, Juliang [1 ,2 ]
Ning, Shaowei [1 ,2 ]
Zhang, Zixiao [1 ]
Bai, Lu [3 ]
机构：
[1] Hefei Univ Technol, Sch Civil Engn, Hefei 230009, Anhui, Peoples R China
[2] Hefei Univ Technol, Inst Water Resources & Environm Syst Engn, Hefei 230009, Anhui, Peoples R China
[3] CSCEC AECOM Consultants Co Ltd, Lanzhou 730000, Gansu, Peoples R China
来源：
SCIENCE OF THE TOTAL ENVIRONMENT | 2020年 / 710卷
基金：
中国国家自然科学基金;
关键词：
Water resource carrying capacity; Evaluation; Certainty degree; Multi-dimensional precondition cloud a lgorithm; Fuzzy analytic hierarchy process; Risk matrix; MANAGEMENT;
D O I：
10.1016/j.scitotenv.2019.136324
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Water resource carrying capacity modelling is a fundamental task to explore the interaction mechanism between socio-economic development and water resource carrying system. To reasonably quantify regional water resource carrying capacity, firstly, the water resource carrying system was divided into pressure, support and regulation forces subsystems, then the multi-dimensional precondition cloud algorithm was introduced to quantify the belonging degree of single evaluation index, and the comprehensive belonging degree of each sample was further obtained through risk matrix and index weight, and finally the multi-dimensional precondition cloud and risk matrix coupling model (PCRM) was established to recognize carrying grade and reveal carrying mechanism. The application results of PCRM model indicated that water resource carrying capacity in Anhui province, China presented a slightly improving trend in both provincial and city scales during 2005 to 2015. Meanwhile, evaluation result of PCRM model was more approaching to the average characteristic value of different approaches, which indicated that PCRM coupling model is effectively to explore properties of indexes and subsystems of water resource carrying system, and could be further applied in other system evaluation and regulation research fields in the future. (C) 2019 Published by Elsevier B.V.
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页数：9
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