Advantages and Disadvantages in Delineating Geochemical Anomalies by Lithologic Zoning Anomaly Based on Lower Limit Contrast Method: A Case Study in Jinshan, Jiangsu Province
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摘要:
笔者以金山地区1∶10 000土壤地球化学调查数据为例,利用岩性分区异常下限衬值法圈定异常,通过与传统方法对比,发现岩性分区异常下限衬值法可以有效避免岩性对异常的控制作用,消除背景的影响,圈定的化探异常能提供更有效的找矿信息。通过野外踏勘和异常查证,并对有找矿意义的重点异常进行槽探、钻探验证,发现具工业价值钨矿体和铅锌矿脉。研究表明,利用岩性分区异常下限衬值法在岩性较复杂区确定异常下限的有效性,该方法可以推广使用。
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关键词:
- 化探异常圈定 /
- 异常下限衬值法 /
- 岩性分区 /
- MAPGIS异常图绘制 /
- 江苏金山
Abstract:Based on the data of geochemical soil surveys at the scale of 1∶
10000 in Jinshan, geochemical anomalies were delineated by lower limit on lithological zone in the study. Compared to traditional methods, it can effectively avoid the control of lithology on the anomaly and eliminate the influence of geological background. Moreover, geochemical anomalies, delineated by lower limit, can provide more effective information in prospecting. Through field exploration and anomaly verification, as well as trenching and drilling verification of key anomalies with prospecting significance, industrial valuable tungsten ore bodies and lead-zinc ore veins were discovered. It suggest that lithology zoning anomaly lower limit contrast method is viable in areas with complex lithology, and therefore can be widely used. -
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表 1 研究区两种方法统计的元素背景值(X)与异常下限(Ca)
Table 1. Element background value (X) and anomaly lower limit (Ca) of two statistical methods in Jinshan area
分类参数 W Mo Pb Cu Sn 岩性分区异常
下限衬值法第四系
(n=1381 )X 2.66 0.6 24.2 21.2 3.35 Ca 3.64 0.90 31.2 28.9 4.53 火山岩
(n=618)X 10.18 0.93 25.6 22.2 3.19 Ca 27.77 1.52 34.5 31.8 4.34 侵入岩
(n=57)X 18.59 1.35 33.3 17.4 3.47 Ca 40.57 2.19 50.5 24.8 4.54 碳酸盐岩
(n=771)X 7.85 1.06 29.0 21.5 3.28 Ca 19.38 1.81 41.5 30.7 4.35 传统方法(n= 2827 )X 2.82 0.79 25.4 21.4 3.30 Ca 4.16 1.41 34.0 29.9 4.45 算术均值(n= 2827 )7.78 0.96 28.09 22.2 3.37 江苏土壤丰度 1.85 0.53 22.6 24.0 3.16 浓集比率 4.21 1.80 1.24 0.93 1.07 注:元素含量为10−6;n为样品数;X为背景值;Ca为异常下限;江苏土壤丰度据廖启林等,2013;浓集比率=算术均值/江苏土壤丰度。 -
[1] 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.
CHENG Qiuming. Multifraetal theory and geochemical element distribution pattern[J]. Earth Science Journal of China University of Geosciences,2000,25(3):311−318.
[2] 程志中, 谢学锦. 岩石中元素背景值变化对地球化学成矿预测的影响[J]. 中国地质, 2006, 33(2): 411−417.
CHENG Zhizhong, XIE Xuejin. Influence of variation in element background values in rocks on etallogenic prognosis in geochemical maps[J]. Geology in China,2006,33(2):411−417.
[3] 侯景儒, 张树泉, 张廷勋, 等. 次生晕数据的对数正态泛克立格法研究及异常评价[J]. 地质与勘探, 1991, 10: 43−50.
HOU Jingru, ZHANG Shuquan, ZHANG Tingxun, et al. Processing of secondary halo data and assessment of geochemical anomalies using Lognormal Universal Kriging[J]. Geology and Prospecting,1991,10:43−50.
[4] 郝立波, 陆继龙, 马力. 浅覆盖区土壤化学成分与基岩化学成分的关系及其意义—以大兴安岭北部地区为例[J]. 中国地质, 2005, 32(3): 477−482.
HAO Libo, LU Jilong, MA Li. Relation between the chemical compositions of residual soils and bedrocks in shallow overburden areas and its significance- a case study of the northern DaHinggan mountains[J]. Geology in china,2005,32(3):477−482.
[5] 郝立波, 李巍, 陆继龙. 确定岩性复杂区的地球化学背景与异常的方法[J]. 地质通报, 2007, 26(12): 1531−1535. doi: 10.3969/j.issn.1671-2552.2007.12.004
HAO Libo, LI Wei, LU Jilong. Method for determining the geochemical background and anomalies in areas with complex lithology[J]. Geological Bulletin of China,2007,26(12):1531−1535. doi: 10.3969/j.issn.1671-2552.2007.12.004
[6] 黄顺生, 杨用彪, 田春明, 等. 溧阳盆地金山花岗岩地球化学特征及构造意义[J]. 地质学刊, 2016, 40(1): 15−22.
HUANG Shunsheng, YANG Yongbiao, TIAN Chunming, et al. Geochemical characteristics and their geological implications of the Jinshan granites in the Liyang Basin[J]. Journal of Geology,2016,40(1):15−22.
[7] 贾根, 郭刚, 徐士银, 等. 江苏省成矿地质背景研究[M]. 武汉: 中国地质大学出版社, 2017, 139-143.
JIA Gen, GUO Gang, XU Shiyin, et al. Study on the geological background of mineralization in Jiangsu Province[M]. Wuhan: China University of Geosciences Press, 2017, 139−143.
[8] 刘英俊, 邱德同. 勘查地球化学[M]. 北京: 科学出版社, 1987.
LIU Yingjun, QIU Detong. Exploration geochemistry[M]. Beijing: Science Press, 1987.
[9] 刘大文. 区域地球化学数据的归一化处理及应用[J]. 物探与化探, 2004, 28(3): 273−275.
LIU Dawen. The normalization of regional geochemical data and its application[J]. Geophysical and Geochemical Exploration,2004,28(3):273−275.
[10] 李宝强, 孙泽坤. 区域地球化学异常信息提取方法研讨[J]. 西北地质, 2004, 37(1): 102−108.
LI Baoqiang, SUN Zekun. Study on the method of geochemical anomalies analysis[J]. Northwestern Geology,2004,37(1):102−108.
[11] 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. doi: 10.3969/j.issn.0495-5331.2007.02.014
LI Suimin, YAO Shuzhen, HAN Yuchou. Using tendency analysis method to deal with geochemical data based on the surfer software[J]. Geology and Prospecting,2007,43(2):72−75. doi: 10.3969/j.issn.0495-5331.2007.02.014
[12] 刘堆富, 汪海峰, 陈玉峰, 等. 甘肃北山及其邻区钨钼化探异常特征及其成矿规律[J]. 西北地质, 2011, 44(4): 58−66.
LIU Duifu, WANG Haifeng, CHEN Yufeng, et al. Characteristics of tungsten&molybdenum geochemical anomalies and their Ore-Forming regularity in Gansu Beishan and its adjacent area[J]. Northwestern Geology,2011,44(4):58−66.
[13] 廖启林, 刘聪, 金洋, 等. 江苏省域土壤元素地表富集及其与人为活动的关系研究[J]. 第四纪研究, 2013, 33(5): 972−985.
LIAO Qilin, LIU Cong, JIN Yang, et al. Surface environmental enrichment of some elements and its relationship between anthropogenicactivity and elemental distribution in soil in Jiangsu Province[J]. Quaternary Sciences,2013,33(5):972−985.
[14] 李随民, 魏明辉, 郝华金. 消除背景影响的化探异常圈定方法—以张家口地区为例[J]. 中国地质, 2014, 41(6): 2083−2090.
LI Suimin, WEI Minghui, HAO Huajin. The elimination of background influence in the delineation of geochemical anomalies: A case study of geochemical data from Zhangjiakou area[J]. Geology in China,2014,41(6):2083−2090.
[15] 李瑜, 刘剑锋, 罗恺, 等. 化探异常的多背景问题[J]. 物探与化探, 2015, 39(3): 443−449.
LI Yu, LIU Jianfeng, LUO Kai, et al. The multi-background problem in geochemical anomaly[J]. Geophysical and Geochemical Exploratio,2015,39(3):443−449.
[16] 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): 250−257.
SHI Changyi. ZHANG Jinhua. HUANG Xiaomei. Subregion median contrast filtering method and recognition of weak anomalies[J]. Geophysical and Geochemical Exploratio,1999,23(4):250−257.
[17] 唐坤, 王学求, 迟清华. 兴蒙造山带—华北克拉通地球化学走廊带沉积物主成分的含量与空间分布研究[J]. 地球学报, 2016, 37(6): 733−744.
TANG Kun, WANG Xueqiu, CHI Qinghua. The Content and spatial distribution of principal components in sediments along the geochemical transect of the Xingmeng Orogenic Belt and the North China Craton[J]. Acta Geoscientica Sinica,2016,37(6):733−744.
[18] 吴锡生. 物化探方法在一比五万区域地质调查中的应用[J]. 吉林大学学报—地球科学版, 1977, 2: 45−55.
WU Xisheng. Application of geophysical and geochemical methods in 1: 50 000 regional geological survey[J]. Journal of Jilin university(Earth Science Edition),1977,2:45−55.
[19] 王世称, 陈永良, 夏立显. 综合信息矿产预测理论与方法[M]. 北京: 科学出版社, 2002.
WANG Shicheng, CHEN Yongliang, XIA Lixian. Theory and method of comprehensive information mineral prediction [M]. Beijing: Science Press, 2002.
[20] 王学求. 矿产勘查地球化学: 过去的成就与未来的挑战[J]. 地学前缘, 2013, 10(1): 239−248.
WANG Xueqiu. Exploration geochemistry: past achievements and future challenges[J]. Earth Science Frontiers,2013,10(1):239−248.
[21] 谢学锦. 勘查地球化学: 发展史·现状·展望[J]. 地质与勘探, 2002, 38(6): 1−9.
XIE Xuejin. Exploration Geochemistry: retrospect and prospect[J]. Geology and Prospecting,2002,38(6):1−9.
[22] 谢学锦, 任天祥, 奚小环, 等. 中国区域化探全国扫描计划卅年[J]. 地球学报, 2009, 30(6): 700−716.
XIE Xuejin, REN Tianxiang, XI Xiaohuan, et al. The implementation of the regional geochemistry national reconnaissance program (RGNR) in China in the past thirty years[J]. Acta Geoscientica Sinica,2009,30(6):700−716.
[23] 赵鹏大. 定量地学方法及应用[M]. 北京: 高等教育出版社, 2004.
ZHAO Pengda. Quantitative geoscience methods and applications [M]. Beijing: Higher Education Press, 2004.
[24] 赵荣军. 不同方法在栾川北部化探数据处理中的应用[J]. 地质与勘探, 2006, 42(3): 67−71.
ZHAO Rongjun. Application of different data processing method in geochemical exploration in the North Luanchuan[J]. Geology and Prospecting,2006,42(3):67−71.
[25] 杨水旺, 尚凯凯, 王剑锋, 等. 河南省栾川县磨坪地区土壤地球化学特征及找矿预测[J]. 矿产勘查, 2022, 13(8): 1198−1206.
YANG Shuiwang,SHANG Kaikai,WANG Jianfeng,et al. Soil geochemical characteristics and prospecting prediction in Moping areaLuanchuan CountyHenan Province[J]. Mineral Exploration,2022,13(8):1198−1206.
[26] 周曙光, 周可法, 崔遥, 等. 基于逻辑回归模型的化探异常信息识别研究——以克拉玛依地区为例[J]. 西北地质, 2016, 49(1): 234−240.
ZHOU Shuguang, ZHOU Kefa, CUI Yao, et al. Application of logistic regression methods in geochemical data analysis and mineral exploration: example from Karamay region[J]. Northwestern Geology,2016,49(1):234−240.
[27] 左仁广. 勘查地球化学数据挖掘与弱异常识别[J]. 地学前缘, 2019, 26(4): 67−75.
ZUO Renguang. Exploration geochemical data mining and weak geochemical anomalies identification[J]. Earth Science Frontiers,2019,26(4):67−75.
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