Water · 2023 · 18 citations · 25 references
Water DemandEngineeringWater ResourcesTopsis ModelingEnvironmental EngineeringWater Resource SystemCivil EngineeringOrder PreferenceCombined WeightsWater QualityUrban Water ManagementWater DistributionZhangye CityWater Resource AssessmentHydrology
According to the natural condition of water resources and the economic, social, and ecological environment status of Zhangye City, the water resources carrying capacity of Zhangye City is evaluated by using the water resources carrying capacity Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model with combination assignment. The results show that: (1) From 2010 to 2020, the water resources carrying capacity of Zhangye City was generally stable at the macro level, ranking at grades III and IV. However, from the micro level, the water resources carrying capacity fluctuates to a certain extent and shows an increasing trend year by year. (2) The steady improvement of economic and social conditions is the main driving force for the improvement of the comprehensive water resources carrying capacity of Zhangye City, and the changes in the ecological environment are also important factors affecting the carrying capacity of water resources. The results provided a decision basis for future comprehensive development and utilization of water resources in Zhangye City and a reference for water resource carrying capacity and water resource security assessment in other arid and semi-arid areas in our country.
25
Michael Greenacre, Patrick J. F. Groenen, Trevor Hastie et al. · Nature Reviews Methods Primers · 2022 · 1.3K citations
Effects of the entropy weight on TOPSIS
Pengyu Chen · Expert Systems with Applications · 2020 · 462 citations
Weights and importance in composite indicators: Closing the gap
William E. Becker, Michaela Saisana, Paolo Paruolo et al. · Ecological Indicators · 2017 · 427 citations · Full text