基于遥感信息提取技术的泰国铜金矿成矿预测
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摘要
以泰国铜金热液型矿区为例,根据地质异常理论、典型铜金矿成矿模式,利用ETM+遥感影像、地质图、矿产地质数据库等多元地学数据,结合GIS技术,提取研究区地质(地层、构造)、遥感(羟基、铁染蚀变信息和线环构造)等致矿信息,采用证据权法对该区铜金矿进行成矿预测,并结合研究区主要控矿地质要素,圈定研究区铜金找矿有利地段,为该地区的找矿工作提供参考。
Geological information quantitative integration research is the frontier and hotspot of prospecting decision research in the world. The formation process of the large Cu-Au deposit is influenced by complicated geological events and restricted by various geological factors, such as strata, structures and alterations. In this paper, with the copper-gold ore district in Thailand as the study object, on the basis of geological anomaly theory and typical copper and gold metallogenic model, ETM+remote sensing images, geological maps and mineral geology database in the study area, and in combination with GIS technique, the authors extracted the oreforming information in this area such as geological information(strata, linear-circular faults, intrusions), remote sensing information(hydroxyl alteration, iron alteration, linear-circular structure), and delineated the Cu-Au prospective targets by using weights of evidence model. The research results show that the remote sensing and geological data can be combined to perform quick prediction and assessment in search for mineral resources in this metallogenic belt.
Geological information quantitative integration research is the frontier and hotspot of prospecting decision research in the world. The formation process of the large Cu-Au deposit is influenced by complicated geological events and restricted by various geological factors, such as strata, structures and alterations. In this paper, with the copper-gold ore district in Thailand as the study object, on the basis of geological anomaly theory and typical copper and gold metallogenic model, ETM+remote sensing images, geological maps and mineral geology database in the study area, and in combination with GIS technique, the authors extracted the oreforming information in this area such as geological information(strata, linear-circular faults, intrusions), remote sensing information(hydroxyl alteration, iron alteration, linear-circular structure), and delineated the Cu-Au prospective targets by using weights of evidence model. The research results show that the remote sensing and geological data can be combined to perform quick prediction and assessment in search for mineral resources in this metallogenic belt.
引文
[1]苏信初.遥感图像线性构造解译及统计分析在东坡矿田成矿预测中的应用[J].湖南地质,1985,4(3):17-27.
[2]马建文.利用TM数据快速提取含矿蚀变带方法研究[J].遥感学报,1997,1(3):208-213.
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[4]苏一鸣,李向前,朱叶飞.ETM+(TM)蚀变遥感异常提取方法在宁镇地区的应用[J].地质学刊,2009,33(1):84-88.
[5]Liu W L,Wang G W,Chen Y Q,et al.The structural information and alteration information extraction and metallogenic prognosis in Laos area[J].Procedia Environmental Scinces,2011,10:386-391.
[6]张楠楠,周可法,孙莉,等.遥感蚀变地质特征提取研究——以新疆康古尔地区为例[J].新疆地质,2008,26(1):39-42.
[7]张晓东,张永庭,艾宁,等.卫宁北山地区遥感找矿地质异常信息提取及分析[J].矿产与地质,2012,26(4):344-349.
[8]胡官兵,刘祥旭,韩天成.证据权法在个旧锡多金属矿床综合信息成矿预测中的应用[J].矿业工程,2010,8(3):9-11.
[9]刘星,胡光道.应用MORPAS系统证据权重法进行多源信息成矿预测——以澜沧江南段地区为例[J].地质与勘探,2003,39(4):65-68.
[10]吴良士.泰国地质构造基本特征与矿产资源(一)[J].矿床地质,2011,30(3):571-574.
[11]Sitthithaworn E,Albino G V,Fyfe W S.Copper-Gold porphyry and skarn mineralization at Phu-Lon,northern Thailand[M].Transactions of the institution of mining and metallurgy section BApplied Earth Science,1993,102:181-191.
[12]Kamvong T,Zaw K.The origin and evolution of skarn-forming fluids from the Phu Lon deposit,northern Loei Fold Belt,Thailand:Evidence from fluid inclusion and sulfur isotope studies[J]. Journal of Asian Earth Sciences,2009,34(5):624-633.
[13]Sutthirat C,Changul C.Geochemical Characteristics of Waste Rocks from the Akara Gold Mine,Phichit Province,Thailand[J].Arabian Journal for Science and Engineering,2013,38(1):135-147.
[14]秦耀祖,刘亮明.ETM+遥感数据的构造、岩石和蚀变信息提取及其在甘肃北山西段的应用[J].南方金属,2010,(177):40-43.
[15]杨德生,程钢,卢小平.遥感地质解译及矿化蚀变信息提取在矿产资源评价中的应用研究[J].河南理工大学学报(自然科学版),2010,29(2):184-189.
[16]张玉君,杨建民,陈微.ETM+(TM)蚀变遥感异常提取方法研究与应用——地质依据和波谱前提[J].国土资源遥感,2002,(4):30-36.
[17]荆凤,陈建平.矿化蚀变信息的遥感提取方法综述[J].遥感信息,2005,2:62-65.
1 张中伟.各国地矿概要·泰国.北京:中国地质矿产研究院,1991:6-10.
[2]马建文.利用TM数据快速提取含矿蚀变带方法研究[J].遥感学报,1997,1(3):208-213.
[3]张玉君,曾朝铭,陈薇.ETM+(TM)蚀变遥感异常提取方法研究与应用——方法选择和技术流程[J].国土资源遥感,2003,(2):44-49.
[4]苏一鸣,李向前,朱叶飞.ETM+(TM)蚀变遥感异常提取方法在宁镇地区的应用[J].地质学刊,2009,33(1):84-88.
[5]Liu W L,Wang G W,Chen Y Q,et al.The structural information and alteration information extraction and metallogenic prognosis in Laos area[J].Procedia Environmental Scinces,2011,10:386-391.
[6]张楠楠,周可法,孙莉,等.遥感蚀变地质特征提取研究——以新疆康古尔地区为例[J].新疆地质,2008,26(1):39-42.
[7]张晓东,张永庭,艾宁,等.卫宁北山地区遥感找矿地质异常信息提取及分析[J].矿产与地质,2012,26(4):344-349.
[8]胡官兵,刘祥旭,韩天成.证据权法在个旧锡多金属矿床综合信息成矿预测中的应用[J].矿业工程,2010,8(3):9-11.
[9]刘星,胡光道.应用MORPAS系统证据权重法进行多源信息成矿预测——以澜沧江南段地区为例[J].地质与勘探,2003,39(4):65-68.
[10]吴良士.泰国地质构造基本特征与矿产资源(一)[J].矿床地质,2011,30(3):571-574.
[11]Sitthithaworn E,Albino G V,Fyfe W S.Copper-Gold porphyry and skarn mineralization at Phu-Lon,northern Thailand[M].Transactions of the institution of mining and metallurgy section BApplied Earth Science,1993,102:181-191.
[12]Kamvong T,Zaw K.The origin and evolution of skarn-forming fluids from the Phu Lon deposit,northern Loei Fold Belt,Thailand:Evidence from fluid inclusion and sulfur isotope studies[J]. Journal of Asian Earth Sciences,2009,34(5):624-633.
[13]Sutthirat C,Changul C.Geochemical Characteristics of Waste Rocks from the Akara Gold Mine,Phichit Province,Thailand[J].Arabian Journal for Science and Engineering,2013,38(1):135-147.
[14]秦耀祖,刘亮明.ETM+遥感数据的构造、岩石和蚀变信息提取及其在甘肃北山西段的应用[J].南方金属,2010,(177):40-43.
[15]杨德生,程钢,卢小平.遥感地质解译及矿化蚀变信息提取在矿产资源评价中的应用研究[J].河南理工大学学报(自然科学版),2010,29(2):184-189.
[16]张玉君,杨建民,陈微.ETM+(TM)蚀变遥感异常提取方法研究与应用——地质依据和波谱前提[J].国土资源遥感,2002,(4):30-36.
[17]荆凤,陈建平.矿化蚀变信息的遥感提取方法综述[J].遥感信息,2005,2:62-65.
1 张中伟.各国地矿概要·泰国.北京:中国地质矿产研究院,1991:6-10.