Heavy Metal Basins Based On SGWRK Prediction System Research

Daxia River,as the main gathering tributary of the Yellow River in Gansu,is not only the main source of drinking water,but also also an important container for the transportation of pollutants in cities along the water.It is an important lifeline for the economic and social development of Linxia Hui Autonomous Prefecture and Gannan Tibetan Autonomous Prefecture.Due to the development of economy and industry along the river,large amounts of pollutant can be accumulated in the rivers,causing an ever-increasing contradiction between ecological environment change and economic development around the river basin.The problem of heavy metal emissions is also evident.This has led to an increasing demand for management of heavy metal changes in river basins.urgent.At present,due to the complexity of spatial data mining,it is difficult to extract the data mining model from the planar dataset to reflect the spatial variation of heavy metals in the basin.In this study,based on the heavy metal research project in the Daxia River Basin,combined with the actual situation of the water-body weight of the river basin,the spatial prediction of heavy metals in the Daxia River Basin was proposed to solve the problem that the small sample data could not reflect the heavy metal space situation in the entire basin.Firstly,the autocorrelation and variability of the datasets of the research basin were analyzed.It was concluded that there was a moderate spatial variation in the heavy metal datasets in the study area,in which the degree of variation was As>Cr>Cu>Cd>Pb.Followed by OLS,GWR,GWRK and SGWRK were used for precision analysis and comparison.The spatial data mining model suitable for the study of heavy metals in the basin was derived.It was the improved geographically weighted regression kriging model.According to the actual situation of the water in the Daxia River Basin,the business and functional requirements of the heavy metal prediction system in the basin were analyzed.The paper developed a Web GIS heavy metal prediction system based on B/S.The system used Microsoft Visual Studio 2013 as development integration environment,SQL Server 2010 as the database support,Arc GIS Server for.NET as a map data management platform,R software as a basin heavy metal prediction development platform.The Arc GIS API for Java Script technology embeds the data published by Arc GIS Server for.NET into the Web.The system mainly implements themanagement of user rights allocation in the system management module,the map visualization query in the sampling data management,the basic map operation and thematic map operation in the map operation and the visual display of the heavy metal spatial prediction in the basin.This paper provides watershed managers with effective methods to control heavy metals in the Daxia River Basin.