Comprehensive watershed management policies for treatment of stockbreeding wastes and reduction of green house gas emission in the Dian Chi Lake, China

Pollutants emitted by pollution generation sources do not only deteriorate the water quality, but the emissions of greenhouse gas also contribute to the green house effect. Material balance of biomass wastes shows there is a trade-off between water pollution and global warming. Therefore, in dealing with the water pollution problems, we also need to adopt methods to decrease greenhouse gas. In this study, we constructed a dynamic linear mathematical model to describe the interrelationships between environmental and socioeconomic indicators and variables. A computer simulation approach was used to make comprehensive environmental policies and to evaluate the most cost effective measures to effectively improve the water quality with the introduction of a biomass recycle plant to control air and water pollutant emissions, as well as generate electric energy. The purpose of this study was to determine the optimum policies to protect the water quality, reduce of green house gas emissions and the develop the local economy as a win-win situation. The simulations were run with the computer-based programming software called LINGO.