Forecast Of Mining Subsidence's Influence On Land Use By Using GIS

Exact forecast of mining subsidence is significant for coal mining under buildings, water-bodies and railways. This dissertation predicts the mining subsidence in Zhangbei mine through GIS. The main tasks include the following aspects:(1) The probability-integration is adopted to predict the subsidence, and the sum of Riemann is used to calculate the double integration in the model. The subsidence, curvature, horizontal movement and horizontal deformation of surface at random point in the predicted region are calculated through MATLAB program;(2) The data are transferred between MATLAB and Arc View through DDE, and they can be automatically written into the database of Arc View themes under the control of MATLAB on Arc View. And TIN surface model is created according to the subsidence data. Based on the TIN data, the total affected area and seeper are calculated and the subsidence is simulated by 3D model, then the subsidence contour line is automatically formed by Arc View;(3) The different deep subsidence and the authoritative land use database are spatially analyzed and the different lands are found out and their areas are calculated;(4) According to the calculated result through spatial analysis of GIS, the effect of subsidence on environment is evaluated, furthermore the renovate measure is put forward.