基于ArcGIS的开采沉陷预计分析可视化方法研究
Method Study Of Mining Subsidence Prediction And Analysis Visualization Base On ArcGIS
矿山开采引起的地表移动是一个复杂的动态过程,传统的二维线划图不能全面、准确的表达地表的沉陷信息。本文基于ArcGIS地统计分析模块对开采沉陷中概率积分法的预计结果进行了分析和处理,实现了开采沉陷的三维立体显示及剖面图的生成,有助于更加直观和深入的研究地表移动情况,为研究开采沉陷规律和提高开采沉陷损害防治技术提供了更加直观有效的技术方法。
he surface displacement caused by mining is a sophisticate dynamic process, The traditional two-dimension Line Graphic can’t explain the information of surface subsidence completely and precisely. Based on the geostatistics model of ArcGIS, the prediction results of probability integral method are dealt with in this paper, which makes three-dimension display and section image of mining subsidence realized. This method contributes to the intuitionist and profound research of surface displacement and also provides a more intuitive and effective way to research laws of mining subsidence and improve measures of protecting mining damage.
李培现、白力改、柳聪亮、谭志祥
矿业工程理论与方法论矿山地质、矿山测量
rcGIS开采沉陷概率积分法可视化
rcGISMining SubsidenceProbability integration methodVisualization
李培现,白力改,柳聪亮,谭志祥.基于ArcGIS的开采沉陷预计分析可视化方法研究[EB/OL].(2009-10-28)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/200910-603.点此复制
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