The Prediction and Visualization of Coal Mining Subsidence based on ArcGIS

Abstract

Abstract: The mining subsidence at first mining district of a coal mine at Shandong plain mining area was forecast by the Mining Subsidence Forecasting System software based on the probability integral method.The prediction results were analyzed by the 3D model of ArcGIS, which reflected the situation of mining subsidence in the form of Three-dimensional graphics.Compared with the actual situation, the accuracy of the forecast result is verified.It reduces the losses caused by mining subsidence and provides an intuitive and effective basis for controlling mining subsidence.

Key words: Mining subsidence, ArcGIS, Probability integral, Visual analysis

SHI Xiu-Wei, LI Jing, ZHAO Huan-Xin, WANG Feng-Jiao, ZHANG Rui-Ya. The Prediction and Visualization of Coal Mining Subsidence based on ArcGIS [J]. Metal Mine, 2012, 41(09): 103-106+166.

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The Prediction and Visualization of Coal Mining Subsidence based on ArcGIS

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