Employing DPSIR Conceptualization and PP Clustering Algorithm to Predict Water Resources Carrying Capacity of River Basins in Fujian, China, in 2020

Abstract

Water resources carrying capacity (WRCC) is very significant to the sustainable developing of society and ecosystem. The main goal of this paper was to predict WRCC of river basins in Fujian province, using index-set method, to provide a adjuvant reference for the planning department while making decisions. Under the guidance of DPSIR framework, 20 indices in total were selected, which can reflect the inherent attributes of WRCC. PP Clustering (PPC) model coupled with generic algorithm was applied to compute WRCC ranking. This model can automatically identify the contribution of every factor to the evaluating objective, as to avoid the subjectivity during the process of index weights. The predictive result shows WRCC of the southeastern area of Fujian is in relative better state of water resources utilization. Special attention needs to be paid to optimum allocation for water resources in the upper reaches area of Minjiang River basin and northeastern area.