甘肃瓜州照壁山地区地球化学异常提取与评价
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摘要
利用土壤地球化学测量数据,对甘肃照壁山地区地球化学异常进行信息提取与评价,预测未知矿床,为照壁山地区矿产资源潜力评价提供依据.通过因子分析确定元素组合类型,利用含量-面积法得出地球化学元素的异常下限,并应用泛克里格法进行插值,得到各元素的区域异常分布图;为了从研究区复杂的地球化学背景中识别与成矿有关的元素组合异常,提取各组合因子的隐蔽元素组合异常信息,应用子区异常下限衬值滤波法对组合元素进行分析,绘制了元素组合衬值异常图.结果表明:研究区的9种元素可以分为3种组合因子, F1因子Cu-Pb-Zn-Bi, F2因子Ag-Hg-Sb, F3因子Au-As; Cu、Pb、Zn和Bi具有比较强的矿化作用,成矿潜力较大; Ag、Sb、Hg和Au在研究区西南方向异常区有重叠部分,在该区寻找银矿床和金矿床的可能性极大;研究区的各类元素成矿受裂控和岩控作用明显.
Data of a soil geochemistry survey was used to extract the geochemical anomaly information in the Zhaobishan area for an evaluation of it and then to forecast unknown ore deposits and provide a basis for the mineral resource potential appraisal in the area. Element combination types were identified through a factor analysis, geochemical elements obtained through the unusual lower limit by using the content-area law, and the Universal-Kriging law was used to carry on the interpolation and to obtain a regional unusual distribution map of various elements. In order to distinguish the unusual element combinations related to the mineralization with complex geochemistry background from the research area, and then to withdraw each combination factor from the unusual information on covert element combination,we applied the method of subinterval area anomaly threshold contrast filtering to analyse the combination elements and drew an element combination lining value anomaly map. The result indicated that the 9 elements in the research area might be divided into 3 combination types, F1 factor Cu-Pb-Zn-Bi, F2 factorAg-Hg-Sb and F3 factor Au-As; Cu, Pb, Zn and the Bi element exhibited quite strong mineralization, with the mineralization potential being big. Ag, Sb, Hg and the Au elements had overlap parts in the southwest of the research area. It is possible to find silver and gold deposits in the area and each kind of element's mineralization has been obviously affected by cracked controls and rock controls.
Data of a soil geochemistry survey was used to extract the geochemical anomaly information in the Zhaobishan area for an evaluation of it and then to forecast unknown ore deposits and provide a basis for the mineral resource potential appraisal in the area. Element combination types were identified through a factor analysis, geochemical elements obtained through the unusual lower limit by using the content-area law, and the Universal-Kriging law was used to carry on the interpolation and to obtain a regional unusual distribution map of various elements. In order to distinguish the unusual element combinations related to the mineralization with complex geochemistry background from the research area, and then to withdraw each combination factor from the unusual information on covert element combination,we applied the method of subinterval area anomaly threshold contrast filtering to analyse the combination elements and drew an element combination lining value anomaly map. The result indicated that the 9 elements in the research area might be divided into 3 combination types, F1 factor Cu-Pb-Zn-Bi, F2 factorAg-Hg-Sb and F3 factor Au-As; Cu, Pb, Zn and the Bi element exhibited quite strong mineralization, with the mineralization potential being big. Ag, Sb, Hg and the Au elements had overlap parts in the southwest of the research area. It is possible to find silver and gold deposits in the area and each kind of element's mineralization has been obviously affected by cracked controls and rock controls.
引文
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[18]辛存林,包小强,安国堡.四川张家坪子金矿床地质特征及成矿作用[J].兰州大学学报:自然科学版, 2016,52(6):713-721.
[19]李随民,姚书振.基于MAPGIS的分形方法确定化探异常[J].地球学报, 2005, 26(2):187-190.
[20]陈灏,徐刚.基于Mapgis平台的含量-面积法的化探数据处理方法的应用[J].中国西部科技, 2011, 10(29):17-19.
[21]谢淑云,鲍征宇.地球化学场的连续多重分形模式[J].地球化学, 2002, 26(2):191-200.
[22]文战久,高星,姚振兴.基于“元素含量-面积”模型方法的地球化学场的多重分形模式分析[J].地球科学进展, 2007, 22(6):598-604.
[23]赵伟,李佑国,汪等,等.地质子区异常下限衬值法在化探中的应用:以藏东八宿地区为例[J].地球科学进展, 2012, 27(增刊1):100-103.
[24]汪等,李佑国,赵伟,等.异常下限衬值滤波法在然乌幅化探数据处理中的应用[J].物探与化探, 2013,37(2):344-349.
[25]张小静.西昆仑地区地球化学异常识别及成矿远景区划分[D].成都:成都理工大学, 2009.
[26]史长义.勘查数据分析(EDA)技术的应用[J].地质与勘探, 1993, 29(11):52-58.
[27]金俊杰,陈建国.地球化学异常提取的自适应衬值滤波法[J].物探与化探, 2011, 35(4):526-531.
[2]娄德波,肖克炎,左仁广,等.奇异性填图技术在新疆东天山黄山:镜儿泉镍铜成矿带中的应用[J].吉林大学学报:地球科学版, 2012, 42(3):705-714.
[3] Cheng Qiu-ming. A new model for quantifuing anisotropic scale invariance and for decomposition of mixing patterns[J]. Mathematical Geology, 2004, 36(3):345-360.
[4]成秋明,张生元,左仁广,等.多重分形滤波方法和地球化学信息提取技术研究与进展[J].地学前缘, 2009,16(2):185-198.
[5]刘洪涛,蒋艳明,吴铁军,等.奇异性分析在赤峰地区地球化学异常识别中的应用[J].地质找矿论丛, 2011,26(3):341-344.
[6]成秋明.多维分形理论和地球化学元素分布规律[J].地球科学, 2000, 25(3):311-318.
[7]张焱,周永章.多重地球化学背景下地球化学弱异常增强识别与信息提取[J].地球化学, 2012, 41(3):278-291.
[8]张磊,申维.分形方法在澳大利亚新南威尔士地区地球化学异常下限确定中的应用[J].地质通报, 2009, 28(增刊1):245-249.
[9]申维,赵鹏大.分形统计模型的理论研究及其在地质学中的应用[J].地质科学, 1998, 33(2):108-117.
[10] Carranza E J M. Catchment basin modeling of stream sediment anomalies revisited:Incorporation of EDA and fractal analysis analysis[J]. Geochemistry Exploration Environment Analysis, 2010, 10(4):365-381.
[11]张延瑞.全国主要成矿远景区矿产资源调查评价重点选区研究[R].北京:中国地质调查局, 2003.
[12]徐明钻,朱立新,马生明,等.多重分形模型在区域地球化学异常分析中的应用探讨[J].地球学报, 2010,31(4):611-618.
[13]胡万龙,侯荣娜,张铖,等.中祁连西段玄武玢岩地球化学特征及其构造意义[J].兰州大学学报:自然科学版, 2016, 52(3):287-294.
[14]中国地质调查局. DD2006-01固体矿产勘查原始地质编录规程(试行)[S].北京:地质出版社, 2006.
[15]胡以铿.地球化学中的多元分析[M].北京:地质出版社, 1987.
[16]辛存林,董凯,孟健,等.新疆和静熬如勒更地区矿化元素组合异常提取及评价[J].兰州大学学报:自然科学版, 2014, 50(4):447-454.
[17]欧阳海松.海南儋州南江铅锌矿地质地球化学特征及成因探讨[D].长沙:中南大学, 2011.
[18]辛存林,包小强,安国堡.四川张家坪子金矿床地质特征及成矿作用[J].兰州大学学报:自然科学版, 2016,52(6):713-721.
[19]李随民,姚书振.基于MAPGIS的分形方法确定化探异常[J].地球学报, 2005, 26(2):187-190.
[20]陈灏,徐刚.基于Mapgis平台的含量-面积法的化探数据处理方法的应用[J].中国西部科技, 2011, 10(29):17-19.
[21]谢淑云,鲍征宇.地球化学场的连续多重分形模式[J].地球化学, 2002, 26(2):191-200.
[22]文战久,高星,姚振兴.基于“元素含量-面积”模型方法的地球化学场的多重分形模式分析[J].地球科学进展, 2007, 22(6):598-604.
[23]赵伟,李佑国,汪等,等.地质子区异常下限衬值法在化探中的应用:以藏东八宿地区为例[J].地球科学进展, 2012, 27(增刊1):100-103.
[24]汪等,李佑国,赵伟,等.异常下限衬值滤波法在然乌幅化探数据处理中的应用[J].物探与化探, 2013,37(2):344-349.
[25]张小静.西昆仑地区地球化学异常识别及成矿远景区划分[D].成都:成都理工大学, 2009.
[26]史长义.勘查数据分析(EDA)技术的应用[J].地质与勘探, 1993, 29(11):52-58.
[27]金俊杰,陈建国.地球化学异常提取的自适应衬值滤波法[J].物探与化探, 2011, 35(4):526-531.