Fuzzy synthetic evaluation model for ecological security risks of water reservoirs based on AHP-entropy weight method and its application

Zhifeng Xiang; Taoying Zhou; Jiwu Chen

doi:10.1117/12.2644691

14 November 2022 Fuzzy synthetic evaluation model for ecological security risks of water reservoirs based on AHP-entropy weight method and its application

Zhifeng Xiang, Taoying Zhou, Jiwu Chen

Author Affiliations +

Proceedings Volume 12299, International Conference on Sustainable Technology and Management (ICSTM 2022); 122990W (2022) https://doi.org/10.1117/12.2644691
Event: International Conference on Sustainable Technology and Management (ICSTM 2022), 2022, Macao, China

Abstract

In this study, a green water conservancy evaluation indicator system for water reservoir projects was constructed, to address non-systematic eco-environmental planning and design of water reservoir basins and eco-environment-economy- social benefit non-equilibrium. Green water conservancy technology indicator systems of four typical water reservoir projects (Kizil reservoir, Wushishui reservoir, Mengjin reservoir, and 500 reservoir) in Xinjiang, China were evaluated by analytic hierarchy process-entropy weight method and fuzzy mathematic method after optimization of 11 typical indicators selected in aspects of eco-environmental benefit, economic benefit, and social benefit and setting of their weights. Two mountainous water reservoirs, i.e., Kizil reservoir and Wushishui reservoir, were rated as green water conservancy level 2, Mengjin reservoir was rated as green water conservancy level 3, and 500 reservoir was rated as green water conservancy level 1. The results of this study provide a directional suggestion for carrying forward green, energy-efficient, and environmentally friendly water reservoir projects.

Citation Download Citation

Zhifeng Xiang, Taoying Zhou, and Jiwu Chen "Fuzzy synthetic evaluation model for ecological security risks of water reservoirs based on AHP-entropy weight method and its application", Proc. SPIE 12299, International Conference on Sustainable Technology and Management (ICSTM 2022), 122990W (14 November 2022); https://doi.org/10.1117/12.2644691

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