基于GIS的德化—尤溪矿集区金成矿远景信息量法预测
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摘要
综合应用地质、物探、化探、遥感等数据,进行多源融合的成矿预测,是适应当前找矿难度越来越大的需要.基于GIS,构建德化-尤溪矿集区金矿成矿预测空间数据库,划分1000 m×1000 m网格单元,利用数据驱动建模,通过GIS空间分析,挖掘地物化遥感多元找矿信息.在此基础,筛选17个找矿变量,进行信息量法综合信息成矿远景预测,圈定靶区4处及若干零星的远景区段,并划分为A、B、C类,对进一步部署金矿找矿工作具有重要意义.
In order to meet the need of prospecting difficulty,this paper comprehensive application of multi-source data for metallogenic prognosis,the data includes geological,geophysical,geochemical,remote sensing and so on.Using GIS to set up a Dehua-Youxi ore district gold metallogenic prediction of spatial database,Mining remote sensing information of geophysical by dividing 1000 * 1000 square meters grid unit,data driven modeling and GIS space analysis method. By screening 17 prospecting variables for the amount of information integrated information metallogenic prediction,experimental results delineating four target section and some sporadic prospective sections,and the target section is divided into A,B,C,the prediction results are of great significance for further exploration of gold deposits.
In order to meet the need of prospecting difficulty,this paper comprehensive application of multi-source data for metallogenic prognosis,the data includes geological,geophysical,geochemical,remote sensing and so on.Using GIS to set up a Dehua-Youxi ore district gold metallogenic prediction of spatial database,Mining remote sensing information of geophysical by dividing 1000 * 1000 square meters grid unit,data driven modeling and GIS space analysis method. By screening 17 prospecting variables for the amount of information integrated information metallogenic prediction,experimental results delineating four target section and some sporadic prospective sections,and the target section is divided into A,B,C,the prediction results are of great significance for further exploration of gold deposits.
引文
[1]江启煜.福建德化东洋矿区金矿的发现与找矿意义[J].地质学刊,2015,39(2):301-305.
[2]朱玉磷,刘永发,张金塔.福建德化下坂斑岩金矿地质特征及成因探讨[J].福建地质,2008,28(1):21-35.
[3]徐庆鸿,谢文清,陈远荣.福建邱村金矿综合地球化学异常分带模型与找矿预测标志[J].地质与勘探,2005,41(1):56-61.
[4]陈代文.福建双旗山金矿床地质特征及矿区外围找矿潜力分析[J].福建地质,2011,31(1):1-11.
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[11]刘申态,吕新彪,曹晓峰.基于MORPAS平台特征分析法找矿靶区预测-以大平梁外围铜钼多金属矿为例[J].新疆地质,2015,33(1):121-125.
[12]Emmanuel Jo Hn M.Carranza Weights of Evidence Modeling of Mineral Potential:A Case Study Using Small Number of Prospects,Abre,Philippines[J].Natural Resources Resarch,2004,13(3):173-183.
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[14]雷江安.逻辑信息法原理及应用改进[J].物探化探计算技术,1985,7(3):249-258.
[15]陈文成.勘查基地选择的灰色模糊决策方法[J].泉州师范学院学报,2003,21(4):57-62.
[16]赵鹏大,胡旺亮,李紫金,等.矿床统计预测(第二版)[M].北京:地质出版社,1994:48-107.
[17]陈文成.面向成矿远景评价的Map GIS空间分析模型[J].吉林大学学报(地球科学版),2012,42(1):280-288.
[18]马宏斌.基于GIS的信息量法在矿产预测中的应用-以澜沧三岔河坝子铅锌矿为例[J].矿产与地质,2017,31(2):414-419.
[19]陈文成.成矿预测中Arc GIS Model Builder的建模评价-以武夷山成矿带大深幅为试验区[J].地球信息科学学报,2013,15(1):81-89.
[20]李裕伟,赵精满,李晨阳.基于GMS、DSS和GIS的潜在矿产资源评价方法[M].北京:地质出版社,2007.
[2]朱玉磷,刘永发,张金塔.福建德化下坂斑岩金矿地质特征及成因探讨[J].福建地质,2008,28(1):21-35.
[3]徐庆鸿,谢文清,陈远荣.福建邱村金矿综合地球化学异常分带模型与找矿预测标志[J].地质与勘探,2005,41(1):56-61.
[4]陈代文.福建双旗山金矿床地质特征及矿区外围找矿潜力分析[J].福建地质,2011,31(1):1-11.
[5]赵鹏大.“三联式”资源定量预测与评价-数字找矿理论与实践探讨[J].地球科学-中国地质大学学报,2002,27(5):482-489.
[6]陈毓川,裴荣富,王登红,等.论矿床的自然分类-四论矿床的成矿系列问题[J].矿床地质,2015,34(6):1092-1106.
[7]翟裕生.成矿系统研究与找矿[J].地质调查与研究,2003,26(2):65-71.
[8]王世称,陈永良,夏立显.综合信息矿产预测理论与方法[M].北京:科学出版社,2000
[9]肖克炎,丁建华,刘锐.美国“三步式”固体矿产资源潜力评价方法评述[J].地质论评,2006,52(6):793-798.
[10]陈文成.基于证据权法的成矿远景预测空间分析模型研究:以Map GIS空间分析建模为例[J].地质科技情报,2011,30(2):109-116.
[11]刘申态,吕新彪,曹晓峰.基于MORPAS平台特征分析法找矿靶区预测-以大平梁外围铜钼多金属矿为例[J].新疆地质,2015,33(1):121-125.
[12]Emmanuel Jo Hn M.Carranza Weights of Evidence Modeling of Mineral Potential:A Case Study Using Small Number of Prospects,Abre,Philippines[J].Natural Resources Resarch,2004,13(3):173-183.
[13]Zadeh L A.Fuzzy sets as a basis for a theory of possibility[J].Fuzzy Sets and Systems,1978,1:3-28.
[14]雷江安.逻辑信息法原理及应用改进[J].物探化探计算技术,1985,7(3):249-258.
[15]陈文成.勘查基地选择的灰色模糊决策方法[J].泉州师范学院学报,2003,21(4):57-62.
[16]赵鹏大,胡旺亮,李紫金,等.矿床统计预测(第二版)[M].北京:地质出版社,1994:48-107.
[17]陈文成.面向成矿远景评价的Map GIS空间分析模型[J].吉林大学学报(地球科学版),2012,42(1):280-288.
[18]马宏斌.基于GIS的信息量法在矿产预测中的应用-以澜沧三岔河坝子铅锌矿为例[J].矿产与地质,2017,31(2):414-419.
[19]陈文成.成矿预测中Arc GIS Model Builder的建模评价-以武夷山成矿带大深幅为试验区[J].地球信息科学学报,2013,15(1):81-89.
[20]李裕伟,赵精满,李晨阳.基于GMS、DSS和GIS的潜在矿产资源评价方法[M].北京:地质出版社,2007.