OPTIMISATION SCHEME FOR REGIONAL GROUNDWATER POLLUTION CONTROL IN CHINA: ADAPTIVE GENETIC ALGORITHM BASED MULTI-OBJECTIVE OPTIMISATION MODEL

How to improve the water quality, improve the effect of sewage treatment, and reduce the cost of treatment, so that water pollution treatment can maximise the environmental benefits become the focus of this study. The sewage treatment method was evaluated by the Benchmark Simulation Model 1 (BSM1), which was developed by the International Water Association in cooperation with the European Union Organisation for Scientific and Technical Cooperation. A multi-objective optimisation model of sewage treatment based on the AGA (Adaptive genetic algorithm) was proposed, and it was applied to the multi-objective optimisation problem of groundwater pollution treatment in typical cities in northwest China. In this paper, the concentrations of NH₃ –N (ammonia nitrogen), DO (Dissolved oxygen), COD (Chemical oxygen demand), BOD₅ (Biochemical oxygen demand), TP (Total phosphorus),and TN (Total ammonia) were selected as decision variables, and the effect and economic consumption of sewage treatment were taken as objectives to build a multi-objective optimisation model of sewage treatment. The results show this method can be used as a practical decision support tool to optimise the level of sewage treatment and improve the economic benefit of urban groundwater sewage treatment.