辽西钼多金属矿床遥感影像模型及远景区预测
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摘要
对矿产资源的需求,是推动社会发展的动力。如何利用当前最新的技术理论为找矿服务,降低投资风险,满足社会需求是一个热点和难点问题。而借助于目前多元地学信息技术,充分挖掘和分析基础地质、遥感数据等资料与矿床存在的相关性,提出找矿新方法—矿床遥感影像模型,不仅可以弥补传统找矿方法的不足,还可以最大限度的利用已有的各种地学资料,降低找矿成本,提高找矿效率。
本文基于此,以多元信息找矿理论为指导,采用RS.GIS.GPS技术,对辽西钼多金属矿床的区域主要类型矿床进行了成矿模式分析,构建了辽西钼多金属矿床遥感影像初级模型,利用Landsat7的ETM+影像定量提取了与矿床有关的蚀变、构造信息,运用证据权重法分析并建立了定量遥感影像模型,且对预测远景区进行了评价。本文获得如下研究成果：
(1)对辽西典型矿床杨家杖子矽卡岩型钼矿和兰家沟斑岩型钼矿进行成矿模式分析,得出两类矿床的描述性矿床模型,结合地表构造、蚀变等地质要素在遥感影像上的显示,构建了以遥感影像信息提取为主的找矿模型；
(2)在基于矿床模式的遥感影像模型下,定量提取了影像存在的蚀变和构造线性体信息,且线性体高密区与区域主构造吻合；
(3)在地层、构造、岩浆岩、蚀变等各要素的基础上,运用证据权重法,建立了辽西钼多金属矿床遥感影像模型,数学表达式为：
RSMMo=0.1882S1+0.2492S2+0.8988S3+1.4978V1+1.0467T1+0.8187A1+0.7873M1 +1.4183M2;
(4)对模型进行卡方独立性检验,得出各要素满足条件独立性,证明其在数学上是可行的。通过它划分三大矿集区：杨家杖子—刚屯矿集区、八家子矿集区和温杖子—养马甸子矿集区。三大矿集区正好位于三处权重高值区内,证明其在地质上也是有效的；
(5)结合已有地质资料及矿集区的外围模型高值区已见矿,利用模型圈出了两处远景区,分别是以高家岭、红崖子为中心的成矿远景区,有待进一步的地质工作。
The demand for mineral resources, is a motivation for social development. It is a difficult problem that how to utilize the latest technology for serving the prospection, reducing investment risk and meeting the social needs. With the multiple geological information technology, propose new prospecting method-deposits remote sensing image model, based on fully tapping and analysising the relationship between the basic geology, remote sensing data and the existing of deposit. This model not only can compensate for the shortcomings of traditional prospecting methods, can also maximize the use of all existing data to reduce exploration costs and improve the efficiency of exploration.
Based on the theory of multiple information prospection, it analysised the regional forming model of the Mo polymetallic deposit in western Liaoning, use of RS, GIS, GPS technology, constructed the initial remote sensing images model on Mo polymetallic deposit in western Liaoning, quantitative extracted the alteration and construction relative to deposits by the ETM+images from Landsat7, established quantitative remote sensing images model using evidence weight method and evaluated prospective areas. This article got some results as follow.
(1) after analysising the forming model of typical Mo deposits hosting in Yangjiazhangzi skarn ore and Lan Jiagou porphyry in western Liaoning, arrived at descriptive deposit models of these two types of deposit, constructed exploration model based on the principle of information extraction from remote sensing images;
(2) quantitative extracted the information of alteration and the structure linear of images based on the model of remote sensing images. The high density areas of linear anastomosed the main region structure;
(3) based on the formation of stratum, structure, magmatic rocks, alteration, and other elements, using evidence weight method, established the remote sensing image model of Mo multi-metal deposit in western Liaoning. The mathematical expression is:
RSMMo=0.1882S1+0.2492S2+0.8988S3+1.4978V1+1.0467T1+0.8187A1+0.7873M1 +1.4183M2;
(4)by X2 independence test, it was arrived at that every elements satisfied condition independence, which proved that it's feasible in math field. Divided the mining site into three major areas:Yangjiazhangzi-Gangtun ore concentration area, Bajiazi ore concentration area and Wen Zhang Zi-Yangmadianzi ore concentration area. These ore concentration areas are located in three weight high-value areas exactly, which prove it is also valid on geologyl;
(5) combining geological data and the mineral occurrences in the external model of high-value area, irised out two prospective areas. The one is center on Gaojialing, the other one is center on hongyazi, which need further geological work.
本文基于此,以多元信息找矿理论为指导,采用RS.GIS.GPS技术,对辽西钼多金属矿床的区域主要类型矿床进行了成矿模式分析,构建了辽西钼多金属矿床遥感影像初级模型,利用Landsat7的ETM+影像定量提取了与矿床有关的蚀变、构造信息,运用证据权重法分析并建立了定量遥感影像模型,且对预测远景区进行了评价。本文获得如下研究成果：
(1)对辽西典型矿床杨家杖子矽卡岩型钼矿和兰家沟斑岩型钼矿进行成矿模式分析,得出两类矿床的描述性矿床模型,结合地表构造、蚀变等地质要素在遥感影像上的显示,构建了以遥感影像信息提取为主的找矿模型；
(2)在基于矿床模式的遥感影像模型下,定量提取了影像存在的蚀变和构造线性体信息,且线性体高密区与区域主构造吻合；
(3)在地层、构造、岩浆岩、蚀变等各要素的基础上,运用证据权重法,建立了辽西钼多金属矿床遥感影像模型,数学表达式为：
RSMMo=0.1882S1+0.2492S2+0.8988S3+1.4978V1+1.0467T1+0.8187A1+0.7873M1 +1.4183M2;
(4)对模型进行卡方独立性检验,得出各要素满足条件独立性,证明其在数学上是可行的。通过它划分三大矿集区：杨家杖子—刚屯矿集区、八家子矿集区和温杖子—养马甸子矿集区。三大矿集区正好位于三处权重高值区内,证明其在地质上也是有效的；
(5)结合已有地质资料及矿集区的外围模型高值区已见矿,利用模型圈出了两处远景区,分别是以高家岭、红崖子为中心的成矿远景区,有待进一步的地质工作。
The demand for mineral resources, is a motivation for social development. It is a difficult problem that how to utilize the latest technology for serving the prospection, reducing investment risk and meeting the social needs. With the multiple geological information technology, propose new prospecting method-deposits remote sensing image model, based on fully tapping and analysising the relationship between the basic geology, remote sensing data and the existing of deposit. This model not only can compensate for the shortcomings of traditional prospecting methods, can also maximize the use of all existing data to reduce exploration costs and improve the efficiency of exploration.
Based on the theory of multiple information prospection, it analysised the regional forming model of the Mo polymetallic deposit in western Liaoning, use of RS, GIS, GPS technology, constructed the initial remote sensing images model on Mo polymetallic deposit in western Liaoning, quantitative extracted the alteration and construction relative to deposits by the ETM+images from Landsat7, established quantitative remote sensing images model using evidence weight method and evaluated prospective areas. This article got some results as follow.
(1) after analysising the forming model of typical Mo deposits hosting in Yangjiazhangzi skarn ore and Lan Jiagou porphyry in western Liaoning, arrived at descriptive deposit models of these two types of deposit, constructed exploration model based on the principle of information extraction from remote sensing images;
(2) quantitative extracted the information of alteration and the structure linear of images based on the model of remote sensing images. The high density areas of linear anastomosed the main region structure;
(3) based on the formation of stratum, structure, magmatic rocks, alteration, and other elements, using evidence weight method, established the remote sensing image model of Mo multi-metal deposit in western Liaoning. The mathematical expression is:
RSMMo=0.1882S1+0.2492S2+0.8988S3+1.4978V1+1.0467T1+0.8187A1+0.7873M1 +1.4183M2;
(4)by X2 independence test, it was arrived at that every elements satisfied condition independence, which proved that it's feasible in math field. Divided the mining site into three major areas:Yangjiazhangzi-Gangtun ore concentration area, Bajiazi ore concentration area and Wen Zhang Zi-Yangmadianzi ore concentration area. These ore concentration areas are located in three weight high-value areas exactly, which prove it is also valid on geologyl;
(5) combining geological data and the mineral occurrences in the external model of high-value area, irised out two prospective areas. The one is center on Gaojialing, the other one is center on hongyazi, which need further geological work.
引文
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