In this study, the impact of introducing new sewage treatment technologies as a new policy is evaluated. The purpose of this study is to construct a comprehensive dynamic optimization model on forecasts for the net load of water pollutant and economic growth of Beijing. Therefore, a comprehensive evaluation modeling was conducted using software LINGO to perform the linear optimization model, based on tow sub-models (socio-economic model and an environmental model) and one objective (Min TQP). The socio-economic model is based on input-output table and represents the relationship between socio-economic activities and water pollutant emissions. The environmental model represents the changes in the amount of water pollutants generated. Our results propose an optimal policy for helping Beijing City to achieve the goal of sustainable development. © (2013) Trans Tech Publications, Switzerland.