A Multiobjective Model for Non-point Source Pollution Control for Po-San Reservoir
phosphorus loads brought from agricultural non-point source (NPS) pollution significantly degrade the water quality of a reservoir. Adequate control of agricultural non-point source pollution is therefore necessary for improving the water quality. Controlling non-point source pollution is generally accomplished by various Best Management Practices (BMPs). This study applied the agricultural non-point source pollution (AGNPS) model to simulate NPS loading and BMP efficiencies for the watershed of Po-San Reservoir, an off-stream reservoir. According to the simulated results, a multiobjective mixed integer programming model was established for NPS control strategies analysis. Cost, phosphorus load, sediment load and equity were the four maior objectives considered. A case study for Po-San reservoir was inplemented. Four applicable BMPs were chosen based on the characteristics of the studied area. Non-inferior solutions were obtained using the constraint method. The trade-off relationship among different control objectives was described and discussed. While compared with the previously proposed fertilizer control model, the result shows that the established model is more cost- effective and is able to achieve better sediment reduction and equity goals.
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