Three-dimensional Geological Modeling And Groundwater Numerical Simulation In Jining Of Inner Mongolia

Production water is a human life indispensable and irreplaceable resources.Groundwater resources is an important part of water resources, WulanchabuJining islocated in the poor areas of water resources, according to the statistics, Jining has beenproven to four centralized water supply sources,which have reached the mining limits.Jining as a whole, according to the development plan, the scale of urban construction willbe developed into a population of100million people, only to rely on the existing four watersources, groundwater resources away cities and towns can not meet the requirements ofindustrial production and living water. With the development of the urban industrialproduction, the demand for water is increasing, and the problem of water shortages, Jiningtowns and the development of industrial production has been seriously restricted. So it isnecessary to carry out the Jining area surrounding groundwater resources comprehensiveevaluation to provide hydrogeological data meeting the Jining district overall nationaleconomic development planning and adjustment of industrial structure.This article through to collect, analyze and organize the study area’s geological,hydrogeological research. Using three-dimensional visual modeling software GMS buildJining three-dimensional model of the hydrogeological structure visualization. Model canbe all-round, multi-angle display Jining overall shape3D hydrogeological and3Dvisualization; can demonstrate the three-dimensional structure of a single aquifer, to showin detail the structural form of the aquifer and3D visualization;and geological profile canbe generated in any direction in order to clearly show the various details of the visualizationof3D hydrogeological structure inside the model.The groundwater flow model in Jining was presented in this paper.First assignment theinitial parameters and the initial boundary to the model.Corrected by manually adjusting theparameters on the model, compare models calculated with actual observations fitting degreeand continue to adjust the initial value of the correction parameters to achieve the best fit.Then fitted with the2011level value, in order to validate the model’s reliability andadaptability. Identification and verification are achieved very good results, indicating thatthe model parameters and boundary generalization are reasonable,and the model can predictgroundwater level.