河南省上宫-吉家洼矿集区基于MRAS证据权重法的成矿预测
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摘要
上宫-吉家洼矿集区位于河南省西部的熊耳山地区,区内发育上宫、干树、吉家洼等金矿床,是河南省重要的黄金产地。在充分收集、整理矿集区地质、矿产、物探、化探、重砂、遥感等资料的基础上,总结矿集区的金矿成矿规律并建立了找矿模型。提取和构置断裂构造、剩余布格重力异常、Au化探异常、Ag化探异常、Cu化探异常、Pb化探异常、Mo化探异常、重砂异常、燕山期花岗岩体等9个预测要素作为证据因子,基于MRAS证据权重法进行了成矿预测并圈定18个最小预测区。依据后验概率和找矿标志将最小预测区分为1级、2级和3级,针对不同的级别提出了相应的勘查建议,为矿集区下一步的找矿工作指明了方向。
As the famous gold production base of Henan province, the Shanggong-Jijiawa Ore District(SJOD)is located in the Xiong'ershan area of western Henan province. There exist a dozen of gold deposites in the SJOD, such as Shanggong gold deposit, Ganshu gold deposit and Jijiawa deposit. Based on collecting and studying of the data of geology, mineral resources, geophysics, geochemistry, heavy-fraction and remote sensing, we summarized the metallogenic regularity of the gold deposites and proposed a prospecting model for the gold deposits in the SJOD. A totle of nine predictive variables(evidence factors) were established, including of faults, residual anomalies from bouguer gravity, Au-, Ag-, Cu-, Pb-, Mo geochemical anomalies, heavy-fraction anomalies and Yanshanian granitoids, and 18 prospeting targets have been circled with weighs of evidence modeling on MRAS. According to the posterior probability and prospecting criterias, the prospecting targets were divided into 1, 2 and 3 levels, and the corresponding exploration proposals have beed put forward for different levels of prospecting targets. Thus. this work will contribute to the ruture prospecting work in the SJOD.
As the famous gold production base of Henan province, the Shanggong-Jijiawa Ore District(SJOD)is located in the Xiong'ershan area of western Henan province. There exist a dozen of gold deposites in the SJOD, such as Shanggong gold deposit, Ganshu gold deposit and Jijiawa deposit. Based on collecting and studying of the data of geology, mineral resources, geophysics, geochemistry, heavy-fraction and remote sensing, we summarized the metallogenic regularity of the gold deposites and proposed a prospecting model for the gold deposits in the SJOD. A totle of nine predictive variables(evidence factors) were established, including of faults, residual anomalies from bouguer gravity, Au-, Ag-, Cu-, Pb-, Mo geochemical anomalies, heavy-fraction anomalies and Yanshanian granitoids, and 18 prospeting targets have been circled with weighs of evidence modeling on MRAS. According to the posterior probability and prospecting criterias, the prospecting targets were divided into 1, 2 and 3 levels, and the corresponding exploration proposals have beed put forward for different levels of prospecting targets. Thus. this work will contribute to the ruture prospecting work in the SJOD.
引文
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[9]郝晓圆,宋凯,牛树银,汪江河,赵春和,施强.河南熊耳山干树金矿成矿作用与围岩蚀变特征[J].地质找矿论丛,2015, 30(1):75-80.
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[11]梁新辉,王小涛,邵爱东,常嘉毅,张怡静,田海涛,王潇洒.豫西上宫金矿田断裂构造控矿特征及找矿潜力分析[J].矿产勘查, 2018, 9(1):88-95.
[12]田海涛,梁新辉,高晓,王小涛,常嘉毅,李利.豫西上宫金矿田F60顺层滑脱构造特征及找矿意义[J].矿产勘查, 2018, 9(2):232-237.
[13]邓勇,邱瑞山,罗鑫.基于证据权重法的成矿预测——以广东省钨锡矿的成矿预测为例[J].地质通报, 2007,26(9):1228-1234.
[14]薛顺荣,肖克炎,丁建华.基于MRAS的证据权重法在香格里拉地区的综合信息成矿预测[J].吉林大学学报(地球科学版), 2008,38(5):738-744.
[15]娄德波,肖克炎,丁建华,孙艳.矿产资源评价系统(MRAS)在全国矿产资源潜力评价中的应用[J].地质通报, 2010,29(11):1677-1684.
[16]孔旭,密文天,莫雄,谢敏涛,蒋国林,符长亮.基于MRAS证据权重法的湖南怀化地区金矿成矿预测[J].物探与化探, 2016, 40(3):467-474.
[17] Agterberg F P. Computer programs for mineral exploration[J]. Science, 1989, 245:76-81.
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[19] Bonham-Carter G F, Agterberg F P,Wright S F. Integration of geological datasets for gold exploration in Nova Scotia[J].Photogrammetry and Remote Sensing, 1988, 54:1585-1592.
[20] Bonham-Carter G F.Geographic Information Systems for Geoscientists:Modelling with GIS[M].Oxford:Pergamon,1994.
[2]胡新露,何谋春,姚书振.东秦岭上宫金矿成矿流体与成矿物质来源新认识[J].地质学报, 2013, 87(1):91-100.
[3]张苏坤,史保堂,汪江河,邓红玲,田海涛,颜正信,冯绍平,张豪.豫西熊耳山吉家洼金矿床同位素特征与成矿模式[J].矿产勘查, 2016,7(4):552-560.
[4]张兴康,叶会寿,张维,张福斌,何旭麒,张向存.豫西熊耳山地区吉家洼金矿床成矿物质来源探讨——碳、氧、硫、铅同位素地球化学证据[J].矿床地质, 2017,36(3):595-610.
[5]陈衍景,李欣,秦善,高秀丽,张建国.河南上宫金矿成矿流体研究及其对碰撞造山体制流体作用指示意义[J].自然科学进展, 1998, 8(1):73-76.
[6]冯绍平,汪江河,邓红玲,汪洋,张苏坤,王俊德,史保堂,梁新辉,张争辉,黄岚.熊耳山干树金矿流体包裹体及稳定同位素地球化学研究[J].地球化学, 2017, 46(2):137-148.
[7]黄守民,武新强,崔燮祥.河南省吉家洼金矿床地球化学特征[J].河南地质, 1998, 16(1):1-7.
[8]智洪若,王新建,铁健康,汪江河.河南省吉家洼金矿外围F1含矿带中深部金矿成矿潜力预测[J].地质调查与研究,2010, 33(1):42-48.
[9]郝晓圆,宋凯,牛树银,汪江河,赵春和,施强.河南熊耳山干树金矿成矿作用与围岩蚀变特征[J].地质找矿论丛,2015, 30(1):75-80.
[10]张为民,刘玉刚,李磊,吴传军,许德如.地球化学方法在吉家洼金矿区外围找矿中的应用[J].地质力学学报,2015, 21(2):260-271.
[11]梁新辉,王小涛,邵爱东,常嘉毅,张怡静,田海涛,王潇洒.豫西上宫金矿田断裂构造控矿特征及找矿潜力分析[J].矿产勘查, 2018, 9(1):88-95.
[12]田海涛,梁新辉,高晓,王小涛,常嘉毅,李利.豫西上宫金矿田F60顺层滑脱构造特征及找矿意义[J].矿产勘查, 2018, 9(2):232-237.
[13]邓勇,邱瑞山,罗鑫.基于证据权重法的成矿预测——以广东省钨锡矿的成矿预测为例[J].地质通报, 2007,26(9):1228-1234.
[14]薛顺荣,肖克炎,丁建华.基于MRAS的证据权重法在香格里拉地区的综合信息成矿预测[J].吉林大学学报(地球科学版), 2008,38(5):738-744.
[15]娄德波,肖克炎,丁建华,孙艳.矿产资源评价系统(MRAS)在全国矿产资源潜力评价中的应用[J].地质通报, 2010,29(11):1677-1684.
[16]孔旭,密文天,莫雄,谢敏涛,蒋国林,符长亮.基于MRAS证据权重法的湖南怀化地区金矿成矿预测[J].物探与化探, 2016, 40(3):467-474.
[17] Agterberg F P. Computer programs for mineral exploration[J]. Science, 1989, 245:76-81.
[18] Agterberg F P, Bonham-Carter G F,Wright D F. Statistical Pattern Integration for Mineral Exploration[M]//Gaal G, Merriam D F. Computer Applications in Resource Exploration and Assessment for Minerals and Petroleum.Oxford:Pergamon, 1990:1-21.
[19] Bonham-Carter G F, Agterberg F P,Wright S F. Integration of geological datasets for gold exploration in Nova Scotia[J].Photogrammetry and Remote Sensing, 1988, 54:1585-1592.
[20] Bonham-Carter G F.Geographic Information Systems for Geoscientists:Modelling with GIS[M].Oxford:Pergamon,1994.