Water Pollution Emergency Processing System Based On B/S Framework

This dissertation is based on the middle route of the South-to-North Water Transfer Project, "Water pollution incident early-warning and emergency disposal technology and demonstration" requirements for the standard of applied research papers. And it is one sub-topic of national science and technology major projects "The water joint regulation and emergency disposal key technology research and demonstration run corpus". On the basis of the research, we have developed "The water pollution emergency processing system based on B/S framework", which is integrated developed with ArcGIS Server,Microsoft.Net framework components and relational database SQL Server2000. This system aims to handle the sudden water pollution incidents.The water pollution emergency processing system is an assistance decision support system, whose main function is demonstrating the current diffusion of the pollutant. After inputting the essential parameters of the emergency water pollution incidents, the users will learn the spread trend, which is simulated by the system. The system will also offer many contingency plans to users, which helps users to make decision and take measures. This system includes several modules and offers a complete WebGIS service process. These modules are mathematical modeling, model processing, model show.etc.We elaborate these key technologies encountered in developing, which mainly include data processing and color rendering. And the data processing includes data reduction, data grouping and interpolation. In this dissertation, we will discuss how to choose these proper algorithms in details. The color rendering algorithm’s key is drawing isolines according to the concentration of pollutant. We adopt the popular method that is isoline tracking technology. The important part of this algorithm is taking advantage of Delaunay triangular grid. In addition, we apply EFDC model to this system’s development, and draw the tendency chart with output files of EFDC model, which is scientific and accurate.