水平总梯度法在化探异常圈定中的应用:以青海省某地区1∶5万水系沉积物地球化学测量为例
|
摘要
由于不同地质环境背景值的差异,单纯通过成矿元素含量的差异圈定异常,可能会忽略低值异常和放大高值异常,造成异常与已知矿床不对应的现象。地球化学场是一个连续、可导的场,通过一阶梯度分析可以将不同含量范围的元素含量变化率反映出来,更接近真实的异常情况。以青海省某地区1∶5万水系沉积物测量数据为研究对象,运用水平总梯度法将研究区4 107个原始数据进行梯度分析,绘制出Cu、Pb、Zn、Ag单元素水平总梯度异常图,通过与传统方法进行对比,发现水平总梯度法可以将传统方法所忽略的离散、不成规模的小异常更好地呈现出来,而且圈定的异常结果分带性更好,浓集级数变高,浓集中心突出,异常更加明确,与已知的矿床(点)吻合程度更好。因此,水平总梯度法能更好地反映异常信息,比较准确地圈定异常区域,具有很好的应用前景。
Due to the difference in the background values of different geological environments, the determination of abnormalty simply by the difference in the content of ore-forming elements may lead to the ignorance of the abnormalities of low-value anomalies and high-magnification anomalies. This may result in the incorrespondance of anomalies to theknown deposits. The geochemical field is a continuous, steerable field. Through a step analysis, the rate of change of element content in different content ranges can be reflected, which is closer to the real abnormal situation. This paper takes the measurement data of 1∶5 million water system sediments in a certain area of Qinghai Province as the research object and draws the gradient anomaly maps of Cu, Pb, Zn and Ag by gradient analysis. It is found that the horizontal total gradient method can discrete the traditional method. Small anomalies not large in scale are better presented, while the anomalous zoning is better, the concentration series becomes higher, the concentration center is prominent, and the degree of coincidence with known deposits is better. This shows that the horizontal total gradient method can better respond to abnormal information and accurately define the abnormal region, which has a good application prospect.
Due to the difference in the background values of different geological environments, the determination of abnormalty simply by the difference in the content of ore-forming elements may lead to the ignorance of the abnormalities of low-value anomalies and high-magnification anomalies. This may result in the incorrespondance of anomalies to theknown deposits. The geochemical field is a continuous, steerable field. Through a step analysis, the rate of change of element content in different content ranges can be reflected, which is closer to the real abnormal situation. This paper takes the measurement data of 1∶5 million water system sediments in a certain area of Qinghai Province as the research object and draws the gradient anomaly maps of Cu, Pb, Zn and Ag by gradient analysis. It is found that the horizontal total gradient method can discrete the traditional method. Small anomalies not large in scale are better presented, while the anomalous zoning is better, the concentration series becomes higher, the concentration center is prominent, and the degree of coincidence with known deposits is better. This shows that the horizontal total gradient method can better respond to abnormal information and accurately define the abnormal region, which has a good application prospect.
引文
[1] Cordell L.Gravity and aeromagnetic anomalies over basement structure in the Rolla Quadrangle and the southeast Missouri lead district[J].Economic Geology ,1979,74(6):1383-1394.
[2] 余钦范,楼海.水平梯度法提取重磁源边界位置[J].物探化探计算技术,1994,16(4):363-367.
[3] 潘玉.重力异常线性构造信号在识别断裂上的理论及应用[D].西安:长安大学,2005.
[4] 周蒂,王万银,庞雄,等.地球物理资料所揭示的南海东北部中生代俯冲增生带[J].中国科学:地球科学,2006,36(3):209-218.
[5] 王靖华,吴汉宁,赵希刚,等.利用重力资料识别鄂尔多斯盆地断裂构造[J].能源技术与管理,2006,31(1):14-17.
[6] Levinson A A.Introduction to Exploration Geochemistry[M].Chicago:Wilmette Applied Publishing Ltd.,1974.
[7] Omaljev V T.Definitions of the concepts of geochemical field,background,and noise[J].Geochem.Internat.,1987,24(2) :1-6.
[8] 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.
[9] Korobova E M,Romanov S L.A Chernoby 1 137 Cs contamination study as an example for the spatial structure of geochemical fields and modeling of the geochemical field structure[J].Chemometrics and Intelligent Laboratory Systems,2009,99(1) :1-8.
[10] Sinclair A J.Selection of threshold values in geochemical data using probability graphs[J].Journal of Geochemical Exploration,1974,3(2):129-149.
[11] Ahrens L H.The lognormal distribution of the elements:A fundamental law of geochemistry and its subsidiary[J].Geochim.et Cosmochim.Acta,1954,5(2):49-73.
[12] Miller R L,Goldberg E D.The normal distribution in geochemistry[J].Geochim.et Cosmochim.Acta,1955,8(1):53-62.
[13] Sanderson D J,Roberts S,Gumiel P.A fractal relation between vein thickness and gold X91 grade in drill core from La Codosera Spain[J].Economic Geology,1994,89(1):168-173.
[14] Bolviken B,Stoke P R,Feder J,et al.The fractal nature geochemical landscapes[J].Journal of Geochemical Exploration,1992,43(2):91-109.
[15] Lepeltier C.A simplified statistical treatment of geochemical data by graphical representation[J].Economic Geology,1969,64(5):538-550.
[16] 石文杰,魏俊浩,王启,等.分区上异点校正法在干旱地区1∶5万地球化学异常圈定中的应用:以我国西北某地区为例[J].地质科技情报,2011,30(1):34-41.
[17] 赵少卿,魏俊浩,高翔,等.因子分析在地球化学分区中的应用:以内蒙古石板井地区1∶5万岩屑地球化学测量数据为例[J].地质科技情报,2012,31(2):27-34.
[18] 杨震,杨明国,胡光道,等.因子得分趋势面分析法提取个旧陡岩地区岩石化探异常[J].地质科技情报,2016,35(1):17-21.
[19] Stefański K.Fractals:Form,chance and dimension[J].Reports on Mathematical Physics,1985,21(3):421-422.
[20] Cheng Q M.Multifractality and spatial statistics[J].Computer & Geosciences,1999,25(9):949-962.
[21] 施海鹏,魏俊浩,赵少卿,等.宁夏贺兰山北段1∶5万化探数据的含量-面积分形异常特征及找矿预测[J].地质科技情报,2015,34(3):71-79.
[22] Shen W,Zhao P D.The theoretic study of statistical fractal model and its application in mineral resource prediction[J].Computers and Geosciences,2002,28(3):369-376.
[23] Shen W,Zhao P D.Multidimensional self-affine distribution with application in geochemistry[J].Mathematical Geology,2002,34(2):109-123.
[24] 柯贤忠,谢淑云,高顺宝,等.西藏班戈地区化探数据的多重分形特征及其成矿意义[J].地质科技情报,2015,34(1):148-153.
[25] 万能,李书涛,叶琴,等.分形异常筛选法在桐柏山-大别山地区钼矿调查中的应用[J].地质科技情报,2014,33(2):105-109.
[26] Huang Zhaowen,Zhai Dehuai,Gao Xuenong,et al.Theoretical study on effective thermal conductivity of salt/expanded graphite composite material by using fractal method[J].Applied Thermal Engineering,2015,86(7):309-317.
[27] Chork C Y,Mazzucchelli R H.Spatial filtering of exploration geochemical data using EDA and robust statistics[J].Journal of Geochemical Exploration,1989,34(3):221-243.
[28] 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.
[29] 季斌,周涛发,袁峰,等.地球化学的空间自相关异常信息提取方法[J].测绘科学,2017,42(8):24-27.
[30] 姚金炎.论次火山岩型矿床[J].矿物岩石地球化学通讯,1992,11(1):36-37.
[31] 杨宝荣,马财,王晓云,等.青海鄂拉山口银多金属矿成矿地质特征及找矿前景[J].甘肃冶金,2006,28(2):14-17.
[2] 余钦范,楼海.水平梯度法提取重磁源边界位置[J].物探化探计算技术,1994,16(4):363-367.
[3] 潘玉.重力异常线性构造信号在识别断裂上的理论及应用[D].西安:长安大学,2005.
[4] 周蒂,王万银,庞雄,等.地球物理资料所揭示的南海东北部中生代俯冲增生带[J].中国科学:地球科学,2006,36(3):209-218.
[5] 王靖华,吴汉宁,赵希刚,等.利用重力资料识别鄂尔多斯盆地断裂构造[J].能源技术与管理,2006,31(1):14-17.
[6] Levinson A A.Introduction to Exploration Geochemistry[M].Chicago:Wilmette Applied Publishing Ltd.,1974.
[7] Omaljev V T.Definitions of the concepts of geochemical field,background,and noise[J].Geochem.Internat.,1987,24(2) :1-6.
[8] 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.
[9] Korobova E M,Romanov S L.A Chernoby 1 137 Cs contamination study as an example for the spatial structure of geochemical fields and modeling of the geochemical field structure[J].Chemometrics and Intelligent Laboratory Systems,2009,99(1) :1-8.
[10] Sinclair A J.Selection of threshold values in geochemical data using probability graphs[J].Journal of Geochemical Exploration,1974,3(2):129-149.
[11] Ahrens L H.The lognormal distribution of the elements:A fundamental law of geochemistry and its subsidiary[J].Geochim.et Cosmochim.Acta,1954,5(2):49-73.
[12] Miller R L,Goldberg E D.The normal distribution in geochemistry[J].Geochim.et Cosmochim.Acta,1955,8(1):53-62.
[13] Sanderson D J,Roberts S,Gumiel P.A fractal relation between vein thickness and gold X91 grade in drill core from La Codosera Spain[J].Economic Geology,1994,89(1):168-173.
[14] Bolviken B,Stoke P R,Feder J,et al.The fractal nature geochemical landscapes[J].Journal of Geochemical Exploration,1992,43(2):91-109.
[15] Lepeltier C.A simplified statistical treatment of geochemical data by graphical representation[J].Economic Geology,1969,64(5):538-550.
[16] 石文杰,魏俊浩,王启,等.分区上异点校正法在干旱地区1∶5万地球化学异常圈定中的应用:以我国西北某地区为例[J].地质科技情报,2011,30(1):34-41.
[17] 赵少卿,魏俊浩,高翔,等.因子分析在地球化学分区中的应用:以内蒙古石板井地区1∶5万岩屑地球化学测量数据为例[J].地质科技情报,2012,31(2):27-34.
[18] 杨震,杨明国,胡光道,等.因子得分趋势面分析法提取个旧陡岩地区岩石化探异常[J].地质科技情报,2016,35(1):17-21.
[19] Stefański K.Fractals:Form,chance and dimension[J].Reports on Mathematical Physics,1985,21(3):421-422.
[20] Cheng Q M.Multifractality and spatial statistics[J].Computer & Geosciences,1999,25(9):949-962.
[21] 施海鹏,魏俊浩,赵少卿,等.宁夏贺兰山北段1∶5万化探数据的含量-面积分形异常特征及找矿预测[J].地质科技情报,2015,34(3):71-79.
[22] Shen W,Zhao P D.The theoretic study of statistical fractal model and its application in mineral resource prediction[J].Computers and Geosciences,2002,28(3):369-376.
[23] Shen W,Zhao P D.Multidimensional self-affine distribution with application in geochemistry[J].Mathematical Geology,2002,34(2):109-123.
[24] 柯贤忠,谢淑云,高顺宝,等.西藏班戈地区化探数据的多重分形特征及其成矿意义[J].地质科技情报,2015,34(1):148-153.
[25] 万能,李书涛,叶琴,等.分形异常筛选法在桐柏山-大别山地区钼矿调查中的应用[J].地质科技情报,2014,33(2):105-109.
[26] Huang Zhaowen,Zhai Dehuai,Gao Xuenong,et al.Theoretical study on effective thermal conductivity of salt/expanded graphite composite material by using fractal method[J].Applied Thermal Engineering,2015,86(7):309-317.
[27] Chork C Y,Mazzucchelli R H.Spatial filtering of exploration geochemical data using EDA and robust statistics[J].Journal of Geochemical Exploration,1989,34(3):221-243.
[28] 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.
[29] 季斌,周涛发,袁峰,等.地球化学的空间自相关异常信息提取方法[J].测绘科学,2017,42(8):24-27.
[30] 姚金炎.论次火山岩型矿床[J].矿物岩石地球化学通讯,1992,11(1):36-37.
[31] 杨宝荣,马财,王晓云,等.青海鄂拉山口银多金属矿成矿地质特征及找矿前景[J].甘肃冶金,2006,28(2):14-17.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |