水资源与水工程学报2025，Vol.36Issue(5)：48-56,64,10.DOI:10.11705/j.issn.1672-643X.2025.05.06
基于组合赋权云模型的平原河网水量水质评价模型研究
Water quality and quantity assessment of plain river etworks based on a combined weighting cloud model
摘要
Abstract
To address the water quality deterioration in plain river network areas,a case study of river scheduling schemes was carried out for the Xinjiangwei area of Kunshan High-Tech Zone.A hydrodynam-ic-water quality coupled model was first established,and an evaluation method for scheduling schemes based on a combined weighting cloud model was proposed.Various water transfer schemes were devel-oped and then simulated by the coupled model to construct a water quality-quantity evaluation index sys-tem.The subjective weights of the indices were determined by the analytic hierarchy process(AHP),while the objective weights were obtained through the entropy weight and TOPSIS.The comprehensive weights of each index were then calculated by Nash equilibrium theory in game theory.Subsequently,the indices were classified into different grades,and the X-conditional cloud generator was employed to deter-mine the membership degree of each grade.The comprehensive evaluation scores of all schemes were ob-tained by weighted summation of the comprehensive weights.The schemes were ranked in descending or-der as follows:scheme 5,scheme 7,scheme 3,scheme 4,scheme 6,scheme 2,scheme 1,and the ini-tial scheduling scheme.According to the comparative analysis,scheme 5 was identified as the optimal comprehensive scheduling scheme.This scheme can ensure water quality improvement while minimizing the water transfer volume,providing a reference for research on water environment improvement through water transfer in plain river network regions.关键词
平原河网/MIKE11/水动力水质数值模拟/评价指标体系/组合权重/云模型/方案评价Key words
plain river network/MIKE11/hydrodynamic-water quality numerical simulation/evalua-tion index system/combined weighting/cloud model/scheme evaluation分类
水利科学引用本文复制引用
黄显峰,谭毅苗,赵同强,郭晓茜..基于组合赋权云模型的平原河网水量水质评价模型研究[J].水资源与水工程学报,2025,36(5):48-56,64,10.基金项目
国家自然科学基金项目(520031111) （520031111）
