Coordination evaluation and obstacle factors recognition analysis of water resource spatial equilibrium system

• DOI: 10.1016/j.envres.2022.112913
• Publication Date: 2022-02-10T15:54:00Z
• Authors: Xia Bai; Juliang Jin; Rongxing Zhou; Chengguo Wu; Yuliang Zhou; Libing Zhang; Yi Cui
• Keywords: China; Conservation of Natural Resources; 13. Climate action; Water Resources; Economic Development; Cities; Factor Analysis, Statistical; 01 natural sciences; 6. Clean water; 0105 earth and related environmental sciences

The comprehensive evaluation analysis of water resource spatial equilibrium (WRSE) system is a fundamental and crucial facet to construct national water resource network system and implement socio-economy equilibrium development strategy in China. To clearly understanding of the structural relationship of WRSE system, we firstly proposed the definition of WRSE system from the perspective of coordination variation between water resource carrying pressure and support force subsystems in this study, then, the multi-dimensional connection cloud and coupling coordination degree approaches were applied to construct integrated evaluation model (MCCD) of WRSE system, and finally, the obstacle degree model was utilized as well to recognize the primary influence factors which resulted in the variation of WRSE system. Eventually, it can be revealed from the application results of MCCD model that, the overall situation of WRSE system in Anhui Province, China was improved obviously during the past 10 years, with the average coupling coordination degree (CCD) increased from 0.58 in 2011 to 0.68 in 2018. In addition, water resources availability per capita (S1) and agricultural irrigation quota (P8) were the two primary indicators causing the variation of water resource carrying support and pressure force subsystems. The above application analysis results were reliable and consistent with the evolution trend of actual historical observed statistics, and could also provide scientific decision-making basis for the implementation of prediction and regulation schemes of WRSE system.