A Water Pollution Load Allocation Method Considering Regional Equity and Pollution Source Governance Differences

Abstract

The invention provides a water pollution load distribution method that takes into account both regional fairness and pollution source control differences, including selecting evaluation indicators, calculating the Gini coefficient of each indicator and its weight; calculating the current comprehensive Gini coefficient; setting total amount control constraints; setting fairness constraints; Set reduction rate constraints; determine the treatment costs per ton of water related to industrial wastewater in each administrative region; determine the treatment costs per ton of urban domestic sewage in each administrative region; Unit pollution load control cost for standard upgrading and transformation; calculation of comprehensive control cost; solution of water pollution load allocation problem. The invention can scientifically and rationally guide the formulation of pollutant reduction sequence and reduction amount schemes in various regions and various pollution sources.

Description

technical field [0001] The invention relates to the field of water environment treatment, in particular to a water pollution load distribution method that takes into account both regional fairness and differences in pollution source treatment. Background technique [0002] For water bodies involving multiple regions and multiple types of pollution sources, how to determine the reduction rate of each region and each pollution source is one of the important contents to be solved urgently in the prevention and control of water pollution. In recent years, many scholars have tried to propose water pollution load allocation methods that take into account both fairness and economic optimality. Based on the comprehensive Gini coefficient as the fairness goal and the minimum pollutant reduction cost as the economic optimality goal, Li Ruzhong and others constructed a dual-objective water pollution load allocation method; this method "virtualized" each sub-region as a sewage treatment...

AI Technical Summary

Problems solved by technology

Based on the comprehensive Gini coefficient as the fairness goal and the minimum cost of pollutant reduction as the economic optimal goal, Li Ruzhong and others constructed a dual-objective water pollution load allocation method; this method "virtualized" each sub-region as a sewage treatment The reduction of water pollution load in each sub-region is borne by the "virtual" sewage treatment plant, and the reduction cost is the treatment cost of the "virtual" sewage treatment plant; this method proposes a feasible generalized pollutant reduction cost However, in the function of pollutant reduction cost, the characteristics of different pollution sources and the differences in treatment costs are not considered.

Images