Water resources are the most valuable natural resources for human's survival and development, and the strategic resources of the national economic and social development. Reasonable utilization and allocation of water resources are the fundamental guarantee for the sustainable development strategy in China. So this paper first forecasts the demand of water for each region, then establishes a multi-objective optimization model of water resources and investigates quantitative methods for the social, economic and environment objectives. According to the specific circumstances of each region, we optimally allocate the water resources in Beijing-Tianjin-Hebei.

The paper proposes a new method for moving objects detection based on fusion of three frames differencing and Gaussian Mixture Model (GMM). In the method, two images are obtained by three frames differencing, then the adaptive background are modeled and updated by GMM for each pixel in the two differencing images. Next, two differencing images are done logic "and" operation to get the shape of the moving object. Finally adopt the mathematical morphology operation to eliminate noise and the small areas of non-objects motion parts. The simulation results show that the proposed method can detect the objects effectively and real-time. So it can be applied in visual surveillance system effectively.