The purpose of this paper is to construct a dynamic comprehensive optimization simulation model to forecast the net load of water pollutant and economic growth rate of Beijing. Our results propose an optimal policy for helping to achieve the goal of sustainable development. We performed a linear optimization modeling by using LINGO software to simulate a socio-economic model and an environmental model with input-output table. The socio-economic model represents the relationship between socio-economic activities and water pollutant emissions. The environmental model represents the changes in the amount of water pollutants generated. © (2013) Trans Tech Publications, Switzerland.