| Along with the development of economic by leaps and bounds, water environment is facing tremendous pressure. Water pollutions are increasing year by year and these cases have brought serious threat and damage to people's lives and property safety, as well as social stability and water environmental safety. These problems have become an increasing cause for concern. However, traditional methods of environmental management can only be of specific monitoring points and water quality at the time and release monitoring data; but it can not accurately forecast the trend of the future water quality or provide a scientific basis for water environment management and decision-making. It have became key problems that how to make full use of information network technology to build a resource-rich, scientific management of water environment of security pre-warning platform of the Three Gorges reservoir area, and to build to scientific organizations decentralized, heterogeneous information environment of water resources, implementation of different resource management systems for data sharing between one to the other; how the mass of water environmental safety data for the rational management of resources, in order to achieve early warning platform to provide data protection; how to extract the changes in water quality and quantity information, the case of sudden water pollution prediction simulation to assess its possible to have water in the reservoir area harm the environment, the quality of the water environment of dynamic assessment and effective supervision, the Three Gorges reservoir area for water pollution control, water development and utilization of water resources to environmental protection and to provide decision support, the Three Gorges reservoir area has become a water environment the key issues of Security Studies.Relying on the thesis of Chongqing Technology major research project,"the water environment in the Three Gorges reservoir area construction security early warning platform for key technologies and scientific decision-making research", the first comprehensive XML, Web Services and middleware technology, the Three Gorges Reservoir area to the water environment security Heterogeneous Database Integrated solution; then adopted. NET technology, to build a water environment safety data management system; the final data in the study based on the relevance of the use of analytic hierarchy process design and implementation of water pollution early-warning model for risk assessment of major events. To sum up, this paper carried out research on the following:â‘ analyze, sum up the water environment in the Three Gorges reservoir area of the characteristics of safety data, discussed the integration of heterogeneous databases to solve the key technology and research at the past, the principle of heterogeneous data integration, methods based on data integration from the actual project needs, proposed a unified data model for public safety of water environment of heterogeneous data conversion.â‘¡use ASP.NET technology, initially completed the Web-based Water Environment of Three Gorges Reservoir Area database security early warning systems development, implementation of early warning data entry, query, statistical analysis and other functions, can basically meet the needs of the system to facilitate maintenance, the timely collection of the water quality of the measured data unified data management needs.â‘¢analyze the correlation among the water environment safety data and establishes risk assessment index system of water pollution and the use of Analytical Hierarchy Process (AHP) to determine the risk indicators of the relative weight, according to the level of sorting algorithm and an early warning grading rules, set up a risk assessment model of water pollution. The mode was applied to water environment in the Three Gorges reservoir area security early warning system for a major event in the history of the Water Pollution General risk assessment, early warning of a major event for the water pollution and provide a theoretical basis for decision-making and programs. |