基于模糊多层次分析反馈的污染河流生态复苏方法的构建与应用OA

To facilitate scientific decision-making in the progressive implementation of ecological restoration for pol-luted rivers,this paper proposes a method based on fuzzy analytic hierarchy process and feedback.A four-stage pro-gressive implementation framework was constructed(reducing pollutant influx-improving pollution remediation-ensuring ecological base flow-reconstructing ecological space.A multi-level structural system for each stage was established,comprising an objective layer,a feedback indicator layer,a sub-feedback indicator layer,and a solu-tion layer.The Fuzzy Analytic Hierarchy Process(FAHP)was employed to quantify indicator weights,thereby identi-fying priority feedback indicators and implementation solutions for each stage.The feasibility of this method was vali-dated using the ecological restoration process of the Maozhou River.The results were consistent with the actual condi-tions:the priority implementation solutions for each stage were interconnected network construction,channel/pipe-line dredging,reclaimed water replenishment,and waterfront space reshaping,which prioritized feedback on physi-cal/municipal construction indicators,heavy metal indicators,hydrological indicators,and ecological indicators,respectively.After achieving stage-specific goals,implementation progressed to the subsequent stage,ultimately completing the ecological restoration of polluted rivers.This research can provide a scientific implementation path-way,monitoring and feedback mechanism,and decision-making methodology for ecological restoration of polluted rivers in China.