Geoscience ›› 2021, Vol. 35 ›› Issue (05): 1397-1410.DOI: 10.19657/j.geoscience.1000-8527.2021.22
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LI Chao1(), LUO Xianrong1(
), QIU Wei2, WANG Yuhui1, ZHAO Xinyi1, ZHENG Chaojie1, LIU Panfeng1
Received:
2020-11-16
Revised:
2021-03-04
Online:
2021-10-10
Published:
2021-11-04
Contact:
LUO Xianrong
CLC Number:
LI Chao, LUO Xianrong, QIU Wei, WANG Yuhui, ZHAO Xinyi, ZHENG Chaojie, LIU Panfeng. Geochemical Anomalies Characteristics of Stream Sediments and Ore-Search Prospect in Jinshuikou Area of Dulan County, Qinghai Province[J]. Geoscience, 2021, 35(05): 1397-1410.
Fig.1 Location of regional geotectonic (a) (revised according to reference [1]) and sketch map of geological and mineral resources in the study area (b)
参数 | Au | As | Sb | Bi | Hg | Co | Cr | Ni | Zn |
---|---|---|---|---|---|---|---|---|---|
最大值 | 7.70 | 22.60 | 3.80 | 1.25 | 38.50 | 83.10 | 304.00 | 139.00 | 546.00 |
最小值 | 0.62 | 0.54 | 0.53 | 0.11 | 18.00 | 12.20 | 23.22 | 12.70 | 41.50 |
最大值/最小值 | 12.42 | 41.85 | 7.17 | 11.36 | 2.14 | 6.81 | 13.09 | 10.94 | 13.16 |
算术平均值 | 1.46 | 7.16 | 0.74 | 0.30 | 23.50 | 22.51 | 50.08 | 24.11 | 70.28 |
标准差 | 0.66 | 2.66 | 0.25 | 0.14 | 3.88 | 6.67 | 25.65 | 9.84 | 36.90 |
中位数 | 1.36 | 7.15 | 0.68 | 0.26 | 22.10 | 21.40 | 43.50 | 22.00 | 63.80 |
偏度 | 5.18 | 0.55 | 6.52 | 2.65 | 1.22 | 2.24 | 3.93 | 4.77 | 8.62 |
总样品数/件 | 493 | 493 | 493 | 493 | 493 | 493 | 493 | 493 | 493 |
有效样品数/件 | 475 | 486 | 415 | 448 | 464 | 469 | 469 | 461 | 469 |
剔除率/% | 3.70 | 1.40 | 15.80 | 9.10 | 5.90 | 4.90 | 4.90 | 6.50 | 4.90 |
剔除后算术平均值 | 1.37 | 7.03 | 0.67 | 0.26 | 22.86 | 21.61 | 46.06 | 22.29 | 65.00 |
剔除后标准差 | 0.33 | 2.43 | 0.06 | 0.07 | 2.98 | 5.02 | 15.19 | 5.05 | 11.22 |
剔除后中位数 | 1.33 | 7.10 | 0.68 | 0.24 | 21.98 | 21.20 | 42.40 | 21.60 | 63.10 |
剔除后偏度 | 0.29 | -0.11 | 0.04 | 0.66 | 0.71 | 0.47 | 0.90 | 0.43 | 0.58 |
东昆仑成矿带背景值 | 1.10 | 9.00 | 0.60 | 0.30 | 11.00 | 8.00 | 37.00 | 17.00 | 51.00 |
区域浓集系数 | 1.21 | 0.79 | 1.13 | 0.80 | 2.00 | 2.65 | 1.15 | 1.27 | 1.24 |
Table 1 Statistics of geochemical parameters of sediment survey in Jinshuikou area of Dulan County, Qinghai Province
参数 | Au | As | Sb | Bi | Hg | Co | Cr | Ni | Zn |
---|---|---|---|---|---|---|---|---|---|
最大值 | 7.70 | 22.60 | 3.80 | 1.25 | 38.50 | 83.10 | 304.00 | 139.00 | 546.00 |
最小值 | 0.62 | 0.54 | 0.53 | 0.11 | 18.00 | 12.20 | 23.22 | 12.70 | 41.50 |
最大值/最小值 | 12.42 | 41.85 | 7.17 | 11.36 | 2.14 | 6.81 | 13.09 | 10.94 | 13.16 |
算术平均值 | 1.46 | 7.16 | 0.74 | 0.30 | 23.50 | 22.51 | 50.08 | 24.11 | 70.28 |
标准差 | 0.66 | 2.66 | 0.25 | 0.14 | 3.88 | 6.67 | 25.65 | 9.84 | 36.90 |
中位数 | 1.36 | 7.15 | 0.68 | 0.26 | 22.10 | 21.40 | 43.50 | 22.00 | 63.80 |
偏度 | 5.18 | 0.55 | 6.52 | 2.65 | 1.22 | 2.24 | 3.93 | 4.77 | 8.62 |
总样品数/件 | 493 | 493 | 493 | 493 | 493 | 493 | 493 | 493 | 493 |
有效样品数/件 | 475 | 486 | 415 | 448 | 464 | 469 | 469 | 461 | 469 |
剔除率/% | 3.70 | 1.40 | 15.80 | 9.10 | 5.90 | 4.90 | 4.90 | 6.50 | 4.90 |
剔除后算术平均值 | 1.37 | 7.03 | 0.67 | 0.26 | 22.86 | 21.61 | 46.06 | 22.29 | 65.00 |
剔除后标准差 | 0.33 | 2.43 | 0.06 | 0.07 | 2.98 | 5.02 | 15.19 | 5.05 | 11.22 |
剔除后中位数 | 1.33 | 7.10 | 0.68 | 0.24 | 21.98 | 21.20 | 42.40 | 21.60 | 63.10 |
剔除后偏度 | 0.29 | -0.11 | 0.04 | 0.66 | 0.71 | 0.47 | 0.90 | 0.43 | 0.58 |
东昆仑成矿带背景值 | 1.10 | 9.00 | 0.60 | 0.30 | 11.00 | 8.00 | 37.00 | 17.00 | 51.00 |
区域浓集系数 | 1.21 | 0.79 | 1.13 | 0.80 | 2.00 | 2.65 | 1.15 | 1.27 | 1.24 |
元素 | Au | As | Sb | Bi | Hg | Co | Cr | Ni | Zn |
---|---|---|---|---|---|---|---|---|---|
Au | 1 | ||||||||
As | 0.004 | 1 | |||||||
Sb | -0.009 | 0.380 | 1 | ||||||
Bi | 0.349 | 0.080 | 0.067 | 1 | |||||
Hg | 0.125 | 0.105 | 0.011 | 0.129 | 1 | ||||
Co | 0.092 | -0.205 | -0.089 | 0.129 | -0.014 | 1 | |||
Cr | 0.091 | -0.125 | -0.028 | 0.127 | 0.045 | 0.404 | 1 | ||
Ni | 0.075 | -0.029 | -0.013 | 0.153 | 0.057 | 0.375 | 0.662 | 1 | |
Zn | 0.521 | 0.035 | 0.015 | 0.350 | 0.015 | 0.329 | 0.324 | 0.218 | 1 |
Table 2 Correlation coefficient matrix of stream sediment geochemical data
元素 | Au | As | Sb | Bi | Hg | Co | Cr | Ni | Zn |
---|---|---|---|---|---|---|---|---|---|
Au | 1 | ||||||||
As | 0.004 | 1 | |||||||
Sb | -0.009 | 0.380 | 1 | ||||||
Bi | 0.349 | 0.080 | 0.067 | 1 | |||||
Hg | 0.125 | 0.105 | 0.011 | 0.129 | 1 | ||||
Co | 0.092 | -0.205 | -0.089 | 0.129 | -0.014 | 1 | |||
Cr | 0.091 | -0.125 | -0.028 | 0.127 | 0.045 | 0.404 | 1 | ||
Ni | 0.075 | -0.029 | -0.013 | 0.153 | 0.057 | 0.375 | 0.662 | 1 | |
Zn | 0.521 | 0.035 | 0.015 | 0.350 | 0.015 | 0.329 | 0.324 | 0.218 | 1 |
KMO取样适切 性量数 | 巴特利特球形度检验 | ||
---|---|---|---|
近似卡方 | 自由度 | 显著性 | |
0.627 | 854.696 | 36.000 | 0.000 |
Table 3 KMO and Bartlett test
KMO取样适切 性量数 | 巴特利特球形度检验 | ||
---|---|---|---|
近似卡方 | 自由度 | 显著性 | |
0.627 | 854.696 | 36.000 | 0.000 |
元素 | F1 | F2 | F3 | F4 |
---|---|---|---|---|
Au | -0.036 | 0.841 | -0.064 | 0.066 |
As | -0.122 | 0.054 | 0.807 | 0.141 |
Sb | 0.013 | 0.013 | 0.833 | -0.100 |
Bi | 0.095 | 0.668 | 0.119 | 0.163 |
Hg | 0.027 | 0.094 | 0.022 | 0.960 |
Co | 0.646 | 0.199 | -0.220 | -0.149 |
Cr | 0.872 | 0.092 | -0.025 | 0.042 |
Ni | 0.863 | 0.033 | 0.062 | 0.106 |
Zn | 0.297 | 0.782 | 0.019 | -0.145 |
特征值 | 2.036 | 1.826 | 1.417 | 1.038 |
方差贡献/% | 22.624 | 20.291 | 15.739 | 11.537 |
累计方差贡献率/% | 22.624 | 42.915 | 58.654 | 70.190 |
Table 4 Rotated orthogonal factors and cumulative variance contributions
元素 | F1 | F2 | F3 | F4 |
---|---|---|---|---|
Au | -0.036 | 0.841 | -0.064 | 0.066 |
As | -0.122 | 0.054 | 0.807 | 0.141 |
Sb | 0.013 | 0.013 | 0.833 | -0.100 |
Bi | 0.095 | 0.668 | 0.119 | 0.163 |
Hg | 0.027 | 0.094 | 0.022 | 0.960 |
Co | 0.646 | 0.199 | -0.220 | -0.149 |
Cr | 0.872 | 0.092 | -0.025 | 0.042 |
Ni | 0.863 | 0.033 | 0.062 | 0.106 |
Zn | 0.297 | 0.782 | 0.019 | -0.145 |
特征值 | 2.036 | 1.826 | 1.417 | 1.038 |
方差贡献/% | 22.624 | 20.291 | 15.739 | 11.537 |
累计方差贡献率/% | 22.624 | 42.915 | 58.654 | 70.190 |
元素 | 平均值 | 标准差 | 衬度平均值 | 衬度标准差 | 衬度异常下限 | 衬度中带值 | 衬度内带值 |
---|---|---|---|---|---|---|---|
Au | 1.330 | 0.330 | 1.000 | 0.246 | 1.246 | 1.492 | 1.984 |
As | 7.100 | 2.430 | 1.000 | 0.342 | 1.342 | 1.684 | 2.368 |
Sb | 0.680 | 0.060 | 1.000 | 0.094 | 1.094 | 1.188 | 1.376 |
Bi | 0.240 | 0.070 | 1.000 | 0.303 | 1.303 | 1.606 | 2.212 |
Hg | 21.980 | 2.980 | 1.000 | 0.135 | 1.135 | 1.270 | 1.540 |
Co | 21.200 | 5.020 | 1.000 | 0.235 | 1.235 | 1.470 | 1.940 |
Cr | 42.40 | 15.190 | 1.000 | 0.358 | 1.358 | 1.716 | 2.432 |
Ni | 21.60 | 5.050 | 1.000 | 0.234 | 1.234 | 1.468 | 1.936 |
Zn | 63.10 | 11.220 | 1.000 | 0.178 | 1.178 | 1.356 | 1.712 |
Co-Cr-Ni | — | — | 3.025 | 0.673 | 3.698 | 4.371 | 5.717 |
Au-Bi-Zn | — | — | 3.151 | 0.420 | 3.571 | 3.991 | 4.831 |
As-Sb | — | — | 1.993 | 0.431 | 2.424 | 2.855 | 3.717 |
Table 5 Statistical characteristics of geochemical contrast parameters of stream sediments in Jinshuikou area of Qinghai Province
元素 | 平均值 | 标准差 | 衬度平均值 | 衬度标准差 | 衬度异常下限 | 衬度中带值 | 衬度内带值 |
---|---|---|---|---|---|---|---|
Au | 1.330 | 0.330 | 1.000 | 0.246 | 1.246 | 1.492 | 1.984 |
As | 7.100 | 2.430 | 1.000 | 0.342 | 1.342 | 1.684 | 2.368 |
Sb | 0.680 | 0.060 | 1.000 | 0.094 | 1.094 | 1.188 | 1.376 |
Bi | 0.240 | 0.070 | 1.000 | 0.303 | 1.303 | 1.606 | 2.212 |
Hg | 21.980 | 2.980 | 1.000 | 0.135 | 1.135 | 1.270 | 1.540 |
Co | 21.200 | 5.020 | 1.000 | 0.235 | 1.235 | 1.470 | 1.940 |
Cr | 42.40 | 15.190 | 1.000 | 0.358 | 1.358 | 1.716 | 2.432 |
Ni | 21.60 | 5.050 | 1.000 | 0.234 | 1.234 | 1.468 | 1.936 |
Zn | 63.10 | 11.220 | 1.000 | 0.178 | 1.178 | 1.356 | 1.712 |
Co-Cr-Ni | — | — | 3.025 | 0.673 | 3.698 | 4.371 | 5.717 |
Au-Bi-Zn | — | — | 3.151 | 0.420 | 3.571 | 3.991 | 4.831 |
As-Sb | — | — | 1.993 | 0.431 | 2.424 | 2.855 | 3.717 |
工程 编号 | 样品 编号 | 分析结果 | |||
---|---|---|---|---|---|
Zn含量/ % | 全铁含量/ % | Au含量/ (g/t) | Mn含量/ % | ||
TC15 | TC15H1 | 0.375 | 22.53 | 0.25 | 19.50 |
TC15H2 | 0.271 | 16.96 | 0.19 | 26.18 | |
TC16 | TC16H1 | 0.546 | 20.80 | 0.26 | 17.92 |
TC16H3 | 0.246 | 12.21 | 0.16 | 24.60 |
Table 6 Analysis results of TC15 and TC16 grooved chemical samples
工程 编号 | 样品 编号 | 分析结果 | |||
---|---|---|---|---|---|
Zn含量/ % | 全铁含量/ % | Au含量/ (g/t) | Mn含量/ % | ||
TC15 | TC15H1 | 0.375 | 22.53 | 0.25 | 19.50 |
TC15H2 | 0.271 | 16.96 | 0.19 | 26.18 | |
TC16 | TC16H1 | 0.546 | 20.80 | 0.26 | 17.92 |
TC16H3 | 0.246 | 12.21 | 0.16 | 24.60 |
[1] | 何旺, 罗先熔, 高文, 等. 青海省都兰县五龙沟—高地地区水系沉积物地球化学特征及找矿远景[J]. 矿物岩石地球化学通报, 2019, 38(5):1017-1023. |
[2] | 郭守栋, 王天赐, 者瑛, 等. 青海省埃坑德勒斯特地区水系沉积物地球化学特征及找矿远景[J]. 黄金, 2018, 39(12):12-17. |
[3] | 杨宝荣, 张新铭, 李文君, 等. 青海沟里地区水系沉积物地球化学异常特征及找矿预测[J]. 地质科技情报, 2019, 38(4):181-192. |
[4] | 颜自给, 李学彪. 青海省都兰县阿拉克湖地区水系沉积物地球化学特征及找矿方向[J]. 矿产与地质, 2014, 28(1):58-65. |
[5] | 石金友. 青海省都兰县五龙沟金矿成矿地质特征及找矿标志[J]. 前寒武纪研究进展, 1997, 20(2):29-36. |
[6] | 张宏飞, 高山. 地球化学[M]. 北京: 地质出版社, 2012:391-394. |
[7] | 史长义, 梁萌, 冯斌. 中国水系沉积物39种元素系列背景值[J]. 地球科学, 2016, 41(2):234-251. |
[8] | NGUYEN T T, 刘修国, 陈春亮, 等. 基于稳健统计学和EDA技术的地球化学异常下限确定[J]. 物探化探计算技术, 2013, 35(3):307-313,249. |
[9] | 王学民. 偏度和峰度概念的认识误区[J]. 统计与决策, 2008,(12):145-146. |
[10] | 史长义. 研究微量元素区域分散与富集规律的新方法[J]. 物探与化探, 1994, 18(3):219-227. |
[11] | 蒋敬业, 程建萍, 祁士华, 等. 应用地球化学[M]. 武汉: 中国地质大学出版社, 2006:198-200. |
[12] | 谢蕾蕾, 宋志刚, 何旭洪. SPSS统计分析实用教程[M]. 北京: 人民邮电出版社, 2013:204-224. |
[13] | 邱炜, 何皎, 熊寿加. 青海北祁连区域化探数据处理中异常衬值法的应用及成效[J]. 黄金科学技术, 2015, 23(1):34-39. |
[14] | 谢祥镭, 喇品贤, 李永虎, 等. 察汗乌苏河地区水系沉积物地球化学特征及找矿靶区预测[J]. 青海大学学报, 2018, 36(6):88-95. |
[15] | 王磊, 胡兆国, 李向民, 等. 甘肃省党河南山乌兰达坂沟—扎子沟地区水系沉积物地球化学特征及找矿远景预测[J]. 中国地质, 2020, 47(2):516-527. |
[16] | 高永伟, 郭周平, 赵辛敏, 等. 青海北祁连冷龙岭地区水系沉积物元素地球化学特征及异常圈定[J]. 现代地质, 2018, 32(3):468-480. |
[17] | 董一博, 焦建刚, 刘凯, 等. 土壤地球化学测量在南秦岭夏家店金矿刘家峡测区的应用[J]. 地质与勘探, 2019, 55(5):1202-1213. |
[18] | 李国伟, 周永恒. 云南个旧陡岩地区地球化学特征及多金属矿找矿方向[J]. 现代矿业, 2018, 34(3):90-95. |
[19] | 罗先熔, 文美兰, 欧阳菲, 等. 勘查地球化学[M]. 北京: 冶金工业出版社, 2007:56-60. |
[20] | 丛源, 李雪梅, 董庆吉. 多元统计分析在矿床指示元素组合特征研究中的应用——以山东黄埠岭金矿为例[J]. 世界地质, 2007, 26(4):435-440. |
[21] | 武松, 潘发明. SPSS统计分析大全[M]. 北京: 清华大学出版社, 2014:339-340. |
[22] | 宁博, 王起琮, 魏巍, 等. R-Q因子分析在白云岩岩相识别中的应用:以鄂尔多斯盆地奥陶系白云岩为例[J]. 地质科技情报, 2018, 37(4):61-67. |
[23] | 戴慧敏, 鲍庆中, 宫传东, 等. 因子分析法对内蒙古查巴奇地区水系沉积物地球化学分区的应用研究[J]. 现代地质, 2010, 24(2):245-251. |
[24] | MOHAMED A G D. Geochemical stream sediment survey in the Wadi Umm Rilan area,south eastern desert,Egypt: A new occurrence for gold mineralization[J]. Acta Geologica Sinica(English Edition), 2017, 91(3):1041-1062. |
[25] | 黄文斌, 罗先熔, 刘攀峰, 等. 青海省石灰沟地区水系沉积物测量地球化学特征及找矿预测[J]. 地质科技通报, 2020, 39(3):150-159. |
[26] | 赵欣怡, 罗先熔, 杨笑笑, 等. 河南洛宁石龙山金多金属矿预查区土壤地球化学特征及找矿远景分析[J]. 矿物岩石地球化学通报, 2020, 39(4):1-11. |
[27] | 戴慧敏, 代雅键, 马振东, 等. 大兴安岭查巴奇地区水系沉积物地球化学特征及找矿方向[J]. 现代地质, 2012, 26(5):1043-1050. |
[28] | 李欢, 徐国志, 刘宏哲, 等. 利用衬度法绘制化探综合异常图[J]. 现代矿业, 2016, 32(6):158-159,162. |
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