B / S Structure Of Soil Heavy Metals In Yunnan Province Spatial Interpolation Analysis System

With the development and progress of society in recent years, environmental pollution is more and more serious, especially the soil contamination. Soil, one of the basic elements of human existence, has been polluted by various pollutants, among which heavy metal pollution is the most harmful. Lots of fields are deserted in the area polluted seriously by heavy metals for its characteristics of long latency and difficult governance. What's worse, passing through the surface or underground runoffs and animal or plant absorption, the heavy metal elements can enter human bodies through food chain, then lead them to heavy metal poisoning symptoms, thereby affect the safety of their life. Therefore, it is imminent to control the heavy metals pollution in the soil, but to do so must be on the premise that the heavy metals in soil have been spatially analyzed.With the development of GIS (geographic information system) technology, based on it and combined with some means of spatial analysis, people have achieved some relatively satisfactory results in the spatial analysis of heavy metal elements. However, the current GIS system, mainly a client/server structure, contains a lot of problems. To overcome which, this paper proposes that the system of B/S structure should be established, which can solve largely the drawbacks of the traditional system.The spatial analysis of heavy metals involved in above systems relates to a lot of research objectives, and a very important one is the spatial interpolation. The distribution and content information of heavy metals in the existing soil have been obtained by sampling techniques, and the sampling process is often punctuate and discrete, so it's not able to get the distribution and content information of heavy metals in all soil in an area. Moreover, it's often unable to show the complete spatial information of heavy metals within a certain area only using the information of sampling points. In this circumstance, it's urgent to find a method to predict the information of unknown points based on the information of known sample points. To meet this demand, the application of spatial interpolation algorithm was born.Taking Yunnan Province as an example, this thesis takes the sampling data obtained by1718sampling points in the province-wide as a system data. The sampling information contains the sampling point location, altitude, land use types, soil types, physical and chemical elements, inorganic elements and so on. In this paper, with the Visual Studio2010as development environment, C#language as the development language, MS SQL SERVER2008as the database, ArcGIS Server and the ArcGIS Silverlight as the development components, the analysis system of BS structure about soil heavy metal spatial interpolation in Yunnan Province has been established. On the basis of this system, the spatial interpolation algorithm which is based on integrated RBF neural network is put forward for some of the deficiencies of the traditional spatial interpolation algorithm.The main researches are as follows.(1) The design and implementation of the analysis system of BS structure about soil heavy metal spatial interpolation in Yunnan Province.(2) On the basis of the commonly used spatial interpolation algorithm, a new spatial interpolation algorithm based on integrated RBF neural network is put forward.The preoperational of the system indicates that this system has achieved all functions we thought at the beginning of the design, and the running results offer certain directive significance to prevent and deal with the soil pollution of heavy metals in Yunnan Province.