基于滑动窗口对数标准离差法的地球化学异常识别:以青海多彩地区1:5万水系沉积物地球化学测量为例
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摘要
利用滑动窗口对数标准离差法对青海省多彩地区1∶5万水系沉积物地球化学测量Cu,Mo,Pb,Zn等主成矿元素进行了异常信息提取,该方法与常规的数据处理方法相比,在低背景区识别出了多处异常,且异常的面积以及与已知矿床点的套合率相对于传统统计法均提高了2～3倍,此方法不仅可压制高背景宽缓异常,而且可有效强化低背景区弱小异常。通过野外异常查证,在低背景区新圈定的龙格东多与米扎那能东2处异常区内均发现了含铜矿化蚀变带,证明了该方法提取异常信息的有效性。
In this paper, we analyzed elements of Cu,Mo,Pb and Zn from the 1∶50 000 stream sediment survey data obtained from Duocai region in Qinghai Province, using the logarithmic standard deviation method based on sliding window. Compared with traditional statistical method, this method can identify more anomalies in the low geochemical background area. Moreover, the anomalous area and coincidence rate with known ore deposits have increased by 2-3 times. The results show that this method can not only suppress the high background wide anomalies, but also strengthen the weak and small anomalies in the low background area. According to the result of field anomaly verification, copper mineralization alteration zones have been found in Longgedongxiang and Mizhananeng anomalous zones in the low geochemical background area. This proves the validity of this method in extracting anomaly information.
In this paper, we analyzed elements of Cu,Mo,Pb and Zn from the 1∶50 000 stream sediment survey data obtained from Duocai region in Qinghai Province, using the logarithmic standard deviation method based on sliding window. Compared with traditional statistical method, this method can identify more anomalies in the low geochemical background area. Moreover, the anomalous area and coincidence rate with known ore deposits have increased by 2-3 times. The results show that this method can not only suppress the high background wide anomalies, but also strengthen the weak and small anomalies in the low background area. According to the result of field anomaly verification, copper mineralization alteration zones have been found in Longgedongxiang and Mizhananeng anomalous zones in the low geochemical background area. This proves the validity of this method in extracting anomaly information.
引文
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[20] Cheng Q,Agterberg F P,Bonham-Carter G F.A spatial analysis method for geochemical anomaly separation[J].Journal of Geochemical Exploration,1996,56:183-195.
[21] Cheng Q,Agterberg F P,Ballantyne S B.The separation of geochemical anomalies from background by fractal methods[J].Journal of Geochemical Exploration,1994,51:109-130.
[22] 刘珏玉,孙成才.区域化探中评价元素离散程度及找矿意义的方法讨论[J].物探化探计算技术,1990,12(4):285-294.
[23] 许光,刘长征,赵娟,等.青海省矿产资源潜力评价地球化学资料应用成果报告[R].西宁:青海省地质矿产勘查开发局,2011.
[24] 戴慧敏,宫传东,鲍庆中,等.区域化探数据处理中几种异常下限确定方法的对比:以内蒙古查巴奇地区水系沉积物为例[J].物探与化探,2010,34(6):782-786.
[2] 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.
[3] 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.
[4] 周蒂.分区背景校正法及其对化探异常圈定的意义[J].物探与化探,1986,14(4):263-273.
[5] 史长义,张金华,黄笑梅.子区中位数衬值滤波法及弱小异常识别[J].物探与化探,1999,23(4):51-58.
[6] 李随民,姚书振,韩玉丑.Surfer软件中利用趋势面方法圈定化探异常[J].地质与勘探,2007,43(2):72-75.
[7] Cao M,Lu L.Application of the multivariate canonical trend surface method to the identification of geochemical combination anomalies[J].Journal of Geochemical Exploration,2015,153:1-10.
[8] Shahi H,Ghavami R,Rouhani A K,et al.Application of Fourier and wavelet approaches for identification of geochemical anomalies[J].Journal of African Earth Sciences,2015,106:118-128.
[9] 田红俊.基于小波变换的地球化学数据场分析[D].包头:内蒙古科技大学,2015.
[10] 曹殿华,王安建,王高尚,等.勘查地球化学异常多尺度分析方法:以赣东北德兴矿集区为例[J].现代地质,2008,22(6):1028-1033.
[11] 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.
[12] 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,2012,27:100-103.
[13] 施俊法,吴传璧.区域化探异常解释与评价的两种思路[J].国外地质勘查技术,1995,6:15-22.
[14] 徐佳富,李青云,谭俊,等.青海治多县多彩铜铅锌矿床蚀变矿化分带性与成因类型[J].地质科技情报,2016,35(6):167-176.
[15] 庞仁俊.青海省治多县多彩-当江一带海相火山岩特征及其与铜多金属矿化的关系[D].成都:成都理工大学,2017:34-35.
[16] 王键.三江成矿带北段多彩地区铜铅锌矿床成矿作用研究[D].长春:吉林大学,2017:59-149.
[17] 段毅君.西南三江中北段铜多金属矿产资源定位预测与评价[D].北京:中国地质大学(北京),2008:1-33.
[18] 周永峰.关于区域化探中变异系数的讨论[J].广西地质,1990,3(2):79-83.
[19] 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:中国地质大学学报,2000,25(3):311-318.
[20] Cheng Q,Agterberg F P,Bonham-Carter G F.A spatial analysis method for geochemical anomaly separation[J].Journal of Geochemical Exploration,1996,56:183-195.
[21] Cheng Q,Agterberg F P,Ballantyne S B.The separation of geochemical anomalies from background by fractal methods[J].Journal of Geochemical Exploration,1994,51:109-130.
[22] 刘珏玉,孙成才.区域化探中评价元素离散程度及找矿意义的方法讨论[J].物探化探计算技术,1990,12(4):285-294.
[23] 许光,刘长征,赵娟,等.青海省矿产资源潜力评价地球化学资料应用成果报告[R].西宁:青海省地质矿产勘查开发局,2011.
[24] 戴慧敏,宫传东,鲍庆中,等.区域化探数据处理中几种异常下限确定方法的对比:以内蒙古查巴奇地区水系沉积物为例[J].物探与化探,2010,34(6):782-786.
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