Research Of Environmental Contamination Accidents Emergency Control System Based On Gis And Spatial Data Mining

In recent years, the growing problem of environmental pollution, in order to prevent environmental pollution accident effectively, all types of possible major emergency pollution incidents need handling timely and reasonable. Based on the basic situation of a city environmental pollution accident, the thesis has introduced GIS and spatial data mining into sudden environmental contamination accidents emergency control system,by discovering some implicit rules, and obtain the region where the pollution incidents effect and its reason by analysis, and propose counter measures,it has important practical significance on improving environmental emergency capacity.The thesis first introduces the research state and its significance of environmental pollution accident, through research GIS technology and spatial data technology, and point out the feasibility of solving environmental pollution accidents problems by spatial data mining and GIS technology. Then describes the need for data pretreatment,it can improve the efficiency of mining algorithm, it particularly describes the method of data pretreatment,through solving the spatial data by data generalization and data reduction,in order to reflect the characteristics of the attribute data of spatial objects and the relationships among them,setting predicate and converting them into integer data; To deal with the database of a large number of incomplete data, we introduce the rough set theory and take advantage of rough set theory to the analysis of environmental data attributes, through the spatial association rules of the Apriori algorithm, we propose expansion of the Apriori algorithm based on the characteristics of spatial data, and applied to the data mining of environmental pollution and emergency control, the algorithm solves the limitations of Apriori algorithm.Finally, the thesis introduces developing the environmental pollution emergency system by using Delphi and MapX, and show the system's overall design and the implementation of its various function. Then, due to the shortcomings of this system, the system based on GIS and spatial data mining technology in the further application is prospected.In summary, the GIS technology and spatial data mining combined can be analyze the spatial data effectively, and can obtain valuable knowledge of association rules, and can provide an effective decision-making.