Study for Water Pollution Remediation Decision Support Modeling: a Case of Tamsui River Basin.

River water pollution can be classified into four types according to the sources, which are domestic sewage, livestock wastewater, industrial wastewater, and non-point source pollution. To remedy the domestic sewage pollution, the most effective strategy is the construction of sewerage systems. Domestic sewage continues to be discharged without treatment before the entire system completely constructed. Therefore, besides building the sewerage system, the remediation strategy should also concern the water pollution treatment problem during the construction period.

This research develop a water pollution remediation decision support modelling through building a waste relationship, which is from house to river, and combining optimization method and water quality model, then integrating Taguchi method to solve the model. This model not only apply water quality under the optimal strategy, but also point out the key part of the system. This research applies the model to Tamsui River basin, under the condition of 2012, take Dahan River as example, the severely polluted length was 18 Km, the rest was moderately polluted or better. Under the optimal strategy, Dahan River water quality is the greatest improvement in the Tamsui River Basin, water quality in Xindian Creek and Keelung River is not as well as Dahan River.

Applying the model in 2018, the result shows that Dahan River water quality is stilll the greatest improvement in the Tamsui River Basin, but more and more interception stations are closed in Xindian Creek and Keelung River as the household connection rate raise. Compare the result in 2012 and 2018, it shows that some interception stations are closed, which happened frequently in Keelung River, Xindian Creek and Dansui River, so as the household connection rate raise, more and more interceptions will be closed.