首页> 外文会议>2011 19th International Conference on Geoinformatics >Uncertainty mapping method for mineral resources prospectivity integrating multi-source geology spatial data sets and evidence reasoning model
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Uncertainty mapping method for mineral resources prospectivity integrating multi-source geology spatial data sets and evidence reasoning model

机译:集成多源地质空间数据集和证据推理模型的矿产资源前景不确定度测绘方法

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Spatial data are usually far from perfect, and the spatial analysis process is full of various kinds of uncertainty. The Dempster-Shafer (D-S) evidence reasoning model provides an adequate theoretical basis for managing uncertainties in multi-resources geological spatial data integration. In this paper, the uncertainty mapping method of mineral resources prospectivity for iron deposits is performed in the Eastern Kunlun Mountains, China, using the Dempster-Shafer model and GIS methods, mainly including belief function assignment, evidence combination and uncertainty assessment. Nine evidence maps were selected after summarizing and analyzing the geological setting of ore-forming processes in the eastern Kunlun Mountains. The relative objective prospectivity assessment for iron resources is suggested in this region, for which the belief, disbelief, plausibility and uncertainty maps of iron deposits in the Eastern Kunlun Mountains were generated from a combination of the D-S model and ArcGIS.
机译:空间数据通常远非完美,空间分析过程充满各种不确定性。 Dempster-Shafer(D-S)证据推理模型为管理多资源地质空间数据集成中的不确定性提供了足够的理论基础。本文采用Dempster-Shafer模型和GIS方法,在中国东部昆仑山地区进行了铁矿床矿产资源远景的不确定性测绘方法,主要包括置信函数分配,证据组合和不确定性评估。在总结和分析了东部昆仑山成矿过程的地质环境之后,选择了九个证据图。建议对该地区铁资源进行相对客观的前瞻性评估,并结合D-S模型和ArcGIS绘制了东昆仑山铁矿的信念,怀疑,合理性和不确定性图。

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