Comprehensive evaluation of water resources utilization benefits based on catastrophe theory

Journal Article (2020)
Author(s)

Meimei Wu (Zhengzhou University)

Wei Ge (TU Delft - Technology, Policy and Management, Zhengzhou University)

Zening Wu (Zhengzhou University)

Zongkun Li (Zhengzhou University)

Research Group
Safety and Security Science
DOI related publication
https://doi.org/10.5004/dwt.2020.25204 Final published version
More Info
expand_more
Publication Year
2020
Language
English
Research Group
Safety and Security Science
Journal title
Desalination and Water Treatment
Volume number
181
Pages (from-to)
273-277
Downloads counter
304
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The benefits of water resource utilization include social benefits, economic benefits, and ecological environmental benefits, so it is difficult to evaluate them comprehensively by adopting the traditional cost-income analysis method. Catastrophe evaluation method, which majors in dealing with uncertain problems, evaluates system synthetically based on the internal mechanism of the system. It calcu-lates the evaluation value of the system in the condition that the relative importance of the indexes is determined and the exact weights are unknown. In this paper, the comprehensive evaluation model of water resources utilization benefits is established based on the catastrophe evaluation method. Moreover, the method which embodies the important roles of various benefits effectively is applied to evaluate the comprehensive benefits of different water resources utilization schemes from 2000 to 2005 in Zhengzhou City of China. The results show that the method has good flexibility and provides a new idea for a comprehensive evaluation of water resources utilization benefits.

Files

181_2020_273.pdf
(pdf | 0.244 Mb)
License info not available