Based On The Three-dimensional Expression Of Pollutants In The Geological Model

At present,soil pollution is a research hotspots of many scholars.The improvement of industrialization level and the common development of environmental protection are derived from the monitoring and treatment of related pollution.In order to reasonably and effectively solve a series of environmental and health problems caused by soil pollution,this paper carries out the geological modeling of the polluted site,and realizes the cross-section analysis of the geological body through the relevant computer operation,so as to realize the transformation from the traditional drawing analysis to the 3D entity.In the geological body,toluene pollutants are expressed in three-dimensional space,which breaks through the limitation of two-dimensional analysis of GIS discipline,analyzes the spatial distribution state of soil pollutants more intuitively,and improves the accuracy of scientific decision-making of soil pollution control.This paper achieves the visual expression of a 3D geological model of contaminated sites using the Open GL rendering technique.Firstly,the drilling data of the site was visualized by the column method,and it was grid-divided to form a simulation model of the ground surface.The inverse distance-weighted interpolation method is used to encrypt the data points and further form the geological body triprism model to prepare for the construction of the formation surface.The expression of soil pollutants inside the geological body will use improved spatial interpolation techniques for contaminant interpolation and body rendering.The application of traditional interpolation methods in geography is limited,where the expression of anisotropy is not associated with geographic properties.The research method in this paper is a shielding radial basis function interpolation method,which mainly includes the following two steps:(i)Anisotropy was found during the pre-fitting process of the toluene pollutant data.In fitting the anisotropic radial basis function interpolation algorithm based on the radial basis function interpolation method,the core is the local search by constructing 3D ellipsoids.(ii)In the field calculation,combined with the influence of the geospatial directionality on the attribute values,the shading calculation method is derived for the secondary power determination,so as to achieve the redistribution of the attribute values of the known points and meet the field situation.The final prediction had a root mean square error(RMSE)value of 0.037 and 3D of0.179,which outperformed the Kriging and RBF interpolation methods.The obtained fitting model was relatively smooth and met the experimental needs;therefore,we believe that this approach offers a new interpolation method to predict the distribution of soil pollutants.Fig.[23] Table [20] Reference [95]...