新疆乔拉克地区水系沉积物致矿地球化学异常提取与评价
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摘要
为了对新疆乔拉克地区1∶2. 5万水系沉积物的地球化学数据进行异常提取与评价,应用含量面积法(C-A)确定乔拉克地区Cu,Pb,Zn,Ag,As的异常下限,得到各元素的异常分布图,从而为研究区矿产资源评价提供依据。由于研究区的地质过程具有多期次和空间相关性等特点,使得异常场和背景场表现为叠加和复合的特点,为进一步从研究区复杂的地球化学背景中分离出与成矿有关的地球化学异常,应用多重分形滤波技术(S-A)分离异常和背景场,强化弱异常,提取致矿异常。为了解研究区的地球化学组合元素的分布规律,将主成分分析法和多重分形滤波技术相结合对数据进行处理分析,根据第一主成分载荷为寻找未知矿床指明方向,并在此基础上应用多重分形滤波技术分离异常和背景。研究结果表明,铜多金属异常主要分布于研究区西南,受岩浆作用明显,成矿潜力较大,为下一步勘探工作的重点。
In order to extract and assess the 1∶25 000 geochemical data of stream sediment in the Qiaolake area of Xinjiang,the content-area method( C-A) was used to determine the anomalous lower limits of Cu,Pb,Zn,Ag,and As elements in the Qiaolake area. The anomalous distribution map of elements provides a basis for the evaluation of mineral resources in the study area. Due to the multiple phases and spatial correlation of geological processes,the abnormal and background fields are characterized by superposition and compounding. To further separate the geochemical anomalies related to mineralization from the complex geochemical background of the study area,multi-fractal filter technology( S-A) was applied to separate the anomaly and background field,strengthen weak anomalies,and extract ore anomalies. To understand the distribution of geochemical elements in the study area,the principal component analysis and fractal filtering techniques were combined to perform data processing and analysis,and the first principal component load was used to find the direction of the unknown deposit. Based on this,multi-fractal filtering technology was applied to separate abnormalities and backgrounds. The results show that copper polymetallic anomalies are mainly distributed in the southwest of the study area,which is obviously affected by magma and has great potential for mineralization,which can provide a basis for further exploration work.
In order to extract and assess the 1∶25 000 geochemical data of stream sediment in the Qiaolake area of Xinjiang,the content-area method( C-A) was used to determine the anomalous lower limits of Cu,Pb,Zn,Ag,and As elements in the Qiaolake area. The anomalous distribution map of elements provides a basis for the evaluation of mineral resources in the study area. Due to the multiple phases and spatial correlation of geological processes,the abnormal and background fields are characterized by superposition and compounding. To further separate the geochemical anomalies related to mineralization from the complex geochemical background of the study area,multi-fractal filter technology( S-A) was applied to separate the anomaly and background field,strengthen weak anomalies,and extract ore anomalies. To understand the distribution of geochemical elements in the study area,the principal component analysis and fractal filtering techniques were combined to perform data processing and analysis,and the first principal component load was used to find the direction of the unknown deposit. Based on this,multi-fractal filtering technology was applied to separate abnormalities and backgrounds. The results show that copper polymetallic anomalies are mainly distributed in the southwest of the study area,which is obviously affected by magma and has great potential for mineralization,which can provide a basis for further exploration work.
引文
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[2]王瑞廷,毛景文,任小华,等.区域地球化学异常评价的现状及其存在的问题[J].中国地质,2005,32(1):168-175.
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[14]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.
[15]成秋明.多重分形与地质统计学方法用于勘查地球化学异常空间结构和奇异性分析[J].地球科学,2001,26(2):161-166.
[16]XU Y,CHENG Q.A multifractal filter technique for geochemical data analysis from Nova Scotia,Canada[J].Geochem Explor Environ Anal,2001,1(2):147-156.
[17]王道永,邓江红.东准噶尔地区板块构造特征及演化[J].成都理工学院学报,1995,22(4):38-45.
[18]韩宝福,何国琦,王式洸.后碰撞幔源岩浆活动、底垫作用及准噶尔盆地基底的性质[J].中国科学(D辑:地球科学),1999,29(1):16-21.
[19]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.
[20]CHENG Q,AGTERBERG F P,BALLANTYNE S B.The Separation of geochemical anomalies from background by fractal methods[J].Journal of Geochemical Exploration,1994,51(2):109-130.
[21]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.
[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]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.
[24]CHENG Q,XU Y,GRUNSKY E.Multifractal power spectrumarea method for geochemical anomaly separation[J].Natural Resources Research,2000,9(1):43-51.
[25]CHENG Q.A new model for quantifying anisotropic scale invariance and decomposing of complex patterns[J].Mathematical Geology,2004,36(3):345-360.
[26]陈永清,张生元,夏庆霖,等.应用多重分形滤波技术提取致矿地球化学异常:以西南“三江”南段Cu、Zn致矿异常提取为例[J].地球科学,2006,31(6):861-866.
[2]王瑞廷,毛景文,任小华,等.区域地球化学异常评价的现状及其存在的问题[J].中国地质,2005,32(1):168-175.
[3]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.
[4]吕文超,周永章,张焱,等.钦杭成矿带南段文地幅水系沉积物地球化学异常识别[J].中山大学学报(自然科学版),2012,51(5):107-112.
[5]张焱,周永章.奇异性理论在钦杭成矿带(南段)庞西垌银金矿产资源预测中的应用[J].中南大学学报(自然科学版),2012,43(9):3558-3564.
[6]成秋明.空间自相似性与地球物理和地球化学场的分解方法[J].地球物理学进展,2001,16(2):8-17.
[7]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,2002,31(2):191-200.
[8]CARRANZA E J M.Catchment basin modeling of stream sediment anomalies revisited:Incorporation of EDA and fractal analysis[J].Geochem Explor Environ Anal,2010,10(4):356-381.
[9]姜振宁.地球化学数据处理方法比较[D].石家庄:石家庄经济学院,2012.
[10]张焱,周永章,王正海,等.广东庞西垌地区地球化学组合异常识别与提取[J].地球学报,2011,32(5):533-540.
[11]邹林,彭省临,杨自安,等.青海阿尔茨托山地区地球化学(异常)场的多重分形研究[J].中国地质,2004,31(4):436-441.
[12]CHENG Q,XU Y,GRUNSKY E.Multifracatal power spectrum-area method for geochemical anomaly separation[J].Nat Resour Res,2000,9(1):43-51.
[13]成秋明.非线性成矿预测理论:多重分形奇异性广义自相似性分形谱系模型与方法[J].地球科学,2006,31(3):337-348.
[14]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.
[15]成秋明.多重分形与地质统计学方法用于勘查地球化学异常空间结构和奇异性分析[J].地球科学,2001,26(2):161-166.
[16]XU Y,CHENG Q.A multifractal filter technique for geochemical data analysis from Nova Scotia,Canada[J].Geochem Explor Environ Anal,2001,1(2):147-156.
[17]王道永,邓江红.东准噶尔地区板块构造特征及演化[J].成都理工学院学报,1995,22(4):38-45.
[18]韩宝福,何国琦,王式洸.后碰撞幔源岩浆活动、底垫作用及准噶尔盆地基底的性质[J].中国科学(D辑:地球科学),1999,29(1):16-21.
[19]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.
[20]CHENG Q,AGTERBERG F P,BALLANTYNE S B.The Separation of geochemical anomalies from background by fractal methods[J].Journal of Geochemical Exploration,1994,51(2):109-130.
[21]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.
[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]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.
[24]CHENG Q,XU Y,GRUNSKY E.Multifractal power spectrumarea method for geochemical anomaly separation[J].Natural Resources Research,2000,9(1):43-51.
[25]CHENG Q.A new model for quantifying anisotropic scale invariance and decomposing of complex patterns[J].Mathematical Geology,2004,36(3):345-360.
[26]陈永清,张生元,夏庆霖,等.应用多重分形滤波技术提取致矿地球化学异常:以西南“三江”南段Cu、Zn致矿异常提取为例[J].地球科学,2006,31(6):861-866.