矿产资源GIS评价方法研究与应用
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摘要
面对日益严峻的矿产资源形势,迫切需要建立一套快速有效的矿产资源预测评价技术。本文在研究目前矿产资源GIS评价方法的基础上,设计实现了两种新的矿产资源GIS评价方法,并以桂西-滇东南地区锰矿预测为例,通过矿产资源GIS评价指标的构建,进行GIS综合找矿预测评价研究。
针对找矿信息不对称的矿产资源评价技术难题,提出了一种新的成矿信息集成技术,即组合作用域信息集成方法,并在线性回归模型的基础上,实现了组合作用域集成线性回归分析,从而建立矿产资源定量评价模型。
针对证据图层二值化时信息丢失的问题,在线性回归分析的基础上,对证据权法进行扩展,提出了利用线性回归分析来指导有利证据层筛选及最佳临界值获取的方法,并从矿产资源定位的角度,建立成矿有利度预测模型。
本文以桂西-滇东南地区锰矿预测评价为例,在成矿地质背景分析的基础上,以多元地学空间数据库为数据驱动,构建矿产资源GIS评价指标集,并采用组合作用域线性回归分析和扩展证据权法,开展了研究区基于GIS的矿产资源量和成矿有利度的定量、定位评价,并采用矿产资源量和成矿有利度相结合的矿产资源GIS综合找矿预测评价方法圈定了6个锰矿预测远景区。
Faced with the severe situation of mineral resources, it is urgent to set up a suit of rapid and efficient techniques of mineral resources prediction and assessment. After studying on the methods of mineral resources assessment based on GIS, two new methods were designed and implemented to make the mineral resources prediction and assessment based on GIS by constructing the assessment indexes, taking the manganese ore in the west Guangxi and southeast Yunnan district as an example.
Focusing on the issue of metallogenic information asymmetry, a new method of metallogenic information integration, i.e. the method of metallogenic information integration based on combined scopes, was proposed, and the prediction model of mineral resource could be established using the linear regression analysis based on integration of combined scopes.
Focusing on the issue of loss of metallogenic information when converting the evidence maps into binary maps, a method of using the linear regression analysis to guide the selection of evidence maps that was advantageous to ore-formation and obtain the critical value that was the best, i.e. the weights of evidence method based on linear regression, was proposed and used to calculate the metallogenic favourability degree from the point of mineral resources location.
Through the metallogenic background analysis, the index set of mineral resources assessment based on GIS was built using the multiple geo-spatial databases as data-driven by taking the manganese ore in the west Guangxi and southeast Yunnan district as an example. Then the quantitative prediction of manganese resources in the study area was made using the linear regression analysis based on integration of combined scopes and the extended weights of evidence respectively, and six prospective areas of ore-formation were delineated by integrating the mineral resources and metallogenic favourability degree.
针对找矿信息不对称的矿产资源评价技术难题,提出了一种新的成矿信息集成技术,即组合作用域信息集成方法,并在线性回归模型的基础上,实现了组合作用域集成线性回归分析,从而建立矿产资源定量评价模型。
针对证据图层二值化时信息丢失的问题,在线性回归分析的基础上,对证据权法进行扩展,提出了利用线性回归分析来指导有利证据层筛选及最佳临界值获取的方法,并从矿产资源定位的角度,建立成矿有利度预测模型。
本文以桂西-滇东南地区锰矿预测评价为例,在成矿地质背景分析的基础上,以多元地学空间数据库为数据驱动,构建矿产资源GIS评价指标集,并采用组合作用域线性回归分析和扩展证据权法,开展了研究区基于GIS的矿产资源量和成矿有利度的定量、定位评价,并采用矿产资源量和成矿有利度相结合的矿产资源GIS综合找矿预测评价方法圈定了6个锰矿预测远景区。
Faced with the severe situation of mineral resources, it is urgent to set up a suit of rapid and efficient techniques of mineral resources prediction and assessment. After studying on the methods of mineral resources assessment based on GIS, two new methods were designed and implemented to make the mineral resources prediction and assessment based on GIS by constructing the assessment indexes, taking the manganese ore in the west Guangxi and southeast Yunnan district as an example.
Focusing on the issue of metallogenic information asymmetry, a new method of metallogenic information integration, i.e. the method of metallogenic information integration based on combined scopes, was proposed, and the prediction model of mineral resource could be established using the linear regression analysis based on integration of combined scopes.
Focusing on the issue of loss of metallogenic information when converting the evidence maps into binary maps, a method of using the linear regression analysis to guide the selection of evidence maps that was advantageous to ore-formation and obtain the critical value that was the best, i.e. the weights of evidence method based on linear regression, was proposed and used to calculate the metallogenic favourability degree from the point of mineral resources location.
Through the metallogenic background analysis, the index set of mineral resources assessment based on GIS was built using the multiple geo-spatial databases as data-driven by taking the manganese ore in the west Guangxi and southeast Yunnan district as an example. Then the quantitative prediction of manganese resources in the study area was made using the linear regression analysis based on integration of combined scopes and the extended weights of evidence respectively, and six prospective areas of ore-formation were delineated by integrating the mineral resources and metallogenic favourability degree.
引文
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