| 张宝一.基于GIS的桂西-滇东南地区锰矿资源潜力评价[J].地质与勘探,2014,50(6):1050-1060 |
| 基于GIS的桂西-滇东南地区锰矿资源潜力评价 |
| A GIS-based appraisal of potential manganese recourses in western Guangxi and southeastern Yunnan province |
| 投稿时间：2014-03-17 修订日期：2014-08-12 |
| DOI： |
| 中文关键词: 锰矿 成矿预测 作用域 证据权重法 |
| 英文关键词: manganese ore, metallogenic prognosis, spatial extent of action, weights of evidence |
| 基金项目:国家自然科学基金(编号：41302259)和“十二五”国家科技支撑计划项目 (编号：2011BAB04B10)资助 |
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| 摘要点击次数: 1927 |
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| 中文摘要: |
| 在桂西-滇东南锰矿成矿条件分析的基础上，利用GIS栅格空间分析方法构造了与锰矿成矿相关的沉积盆地、同沉积断裂、沉积相、地层、岩性组合、数字地形特征、航磁异常等地质变量。首先，利用多元线性回归分析方法预测了研究区各网格单元的锰矿资源量，通过地质变量的筛选和组合构建了候选资源量预测模型组，为每个预测单元选择最优的模型开展资源量的预测；其次，利用证据权重法估算了研究区各网格单元的成矿有利度，根据锰矿资源量与地质变量之间的线性关系是否显著来筛选证据因子，在对地质变量二值化构建证据因子时既考虑锰矿床（点）的“数”，又考虑锰矿床（点）的“量”；最后，对成矿有利度与锰矿资源量预测结果进行乘法运算得到综合预测图，并结合成矿地质环境圈定了预测远景区。 |
| 英文摘要: |
| On the basis of analysis of manganese metallogenesis conditions in western Guangxi and southeastern Yunnan, some geological variables including sedimentary basins, synsedimentary faults, deposit facies, strata, lithology combination, digital topographical features, and aeromagnetic anomalies were established by the GIS raster model spatial analysis methods. Firstly, to solve the information asymmetry problem between prediction areas and known areas, this work suggested a mineral resource quantitative prediction method limited by spatial extent of action, which matched metallogenesis conditions of prediction areas with prediction models built in known areas to ensure the information symmetry. Secondly, to avoid subjectivity of evidence designation in the weights of evidence (WofE) method to predict the manganese formation favorableness, previous linear regression analysis results were applied to filter the evidence. A method considering not only manganese deposits’ number but also their quantities was used to lower the information loss in the binary conversion of evidence. Finally, comprehensive prediction map was generated by multiplication of predicted manganese ore reserves and manganese formation favorableness to delineate the prospecting areas. |
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