Water cycle health assessment based on combined weight and hook trapezoid fuzzy TOPSIS model: A case study of nine provinces in the Yellow River basin, China

Abstract

The regional water cycle reflects both natural and social processes. The health of the regional water cycle is of great significance to the sustainable development of human beings. Focusing on the nine provinces and regions in the Yellow River Basin, this study utilized the DPSIRM model, including 21 basic indicators. In this paper, according to the principle of minimum information entropy, the three-scale AHP and EFAST algorithms were combined and weighted, and water cycle health status in the nine provinces and regions was evaluated based on the hook trapezoidal fuzzy TOPSIS model. Moreover, the traditional TOPSIS model was compared with the FCE method so as to evaluate the objectivity of the results. The obstacle degree model was introduced to obtain the main obstacle factors affecting the improvement of water circulation health in the nine provinces and regions. The results show that the water circulation health status in the nine provinces and regions is tending towards health, coordination, and balance. Water consumption in the ecological environment, water consumption per CNY 10,000 of GDP and forest coverage rate are the key factors that influence the improvement of water circulation health in the nine provinces and regions. The research results herein provide a scientific reference for the nine provinces and regions to achieve a healthy urban water cycle and regional sustainable development.