吉尔吉斯斯坦Au、Cu、Pb、Zn、W、Sn矿床潜力评价——基于1∶100万地球化学数据

doi:10.11720/wtyht.2022.2594

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摘要

吉尔吉斯斯坦是中亚天山金属成矿带的重要组成部分, 矿产资源丰富,金属矿产种类齐全。吉尔吉斯斯坦国家尺度(1∶100万)地球化学填图覆盖了吉尔吉斯斯坦全境约19万km²,分析测试了69种元素,填补了吉尔吉斯斯坦国家尺度地球化学填图空白,为吉尔吉斯斯坦基础地质、矿产开发、环境保护、农业生产等多个方面研究提供了基础地球化学数据支撑。根据区域地质构造演化、地球化学背景,将研究区划分为5个构造地球化学分区。结合地质背景,通过对主要成矿元素地球化学参数统计分析认为:吉尔吉斯斯坦是Au、Cu、Pb、Sb、Sn、W、Ag等元素的有利成矿区。地球化学异常分布特征明显,北天山Au、Cu、Pb、Zn、Ag、Be、As等元素异常强度高; 中天山以费尔干纳断裂为界,西部富集Au、Cu、Cr、Mo、Co,东部富集Au、W、Sn、Co、Cr、Ni;南天山西段集中分布Cu、Co、Cr、Ni、Au、As、Sb、Hg等元素,东段则以W、Sn、Bi元素组合分布为特点。分析成矿显著度,认为吉尔吉斯斯坦最具有找矿潜力的地区为中天山恰特卡尔地区,该区寻找铜、铅、金、钨的潜力巨大。其次,南天山东段撒雷贾兹地区也具有很好的找矿潜力,该区是寻找金、铜、钨、锡十分有利的地区。南天山西段和塔拉斯—纳伦地区找矿潜力也较好,是金、铜、铅、锌等多金属矿的有利找矿区。

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	王斌
	罗彦军
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	陈博
	何子鑫

关键词 ： Au、Cu、Pb、Zn、W、Sn矿床, 找矿潜力评价, 成矿元素, 地球化学, 吉尔吉斯斯坦

Abstract：

As an important part of the Tianshan metallogenic belt in Central Asia, Kyrgyzstan boasts rich mineral resources and completely types of mineral resources. The national scale (1∶1 000 000) geochemical mapping of Kyrgyzstan covers an area of about 170 000 km² across the country and the analyses and tests of 69 elements. It has filled in the blank of national geochemical mapping in Kyrgyzstan and will provide basic geochemical data for studies on basic geology, mineral development, environmental protection, and agricultural production inthe country. According to the regional geologic and structural evolution and geochemical background, the study area is divided into five structural geochemical regions. According to the geological background and the statistical analysis of geochemical parameters of major metallogenic elements, it is considered that Kyrgyzstan is a metallogenic favorable region of Au, Cu, Pb, Sb, Sn, W, and Ag, with notably distributed geochemical anomalies. In detail, the northern Tianshan Mountain shows high anomalies of Au, Cu, Pb, Zn, Ag, Be, and As. The middle Tianshan Mountaincan be divided into the eastern and western parts with the Fergana fault as the boundary. Among them, the western part is rich in Au, Cu, Cr, Mo, and Co, while the eastern part is rich in Au, W, Sn, Co, Cr, and Ni. As for the southern Tianshan Mountain, the western part is characterized by the concentrated distribution of Cu, Co, Cr, Ni, Au, As, Sb,and Hg, while the eastern part is characterized by the distribution of W, Sn, and Bi associations. The analytical results of metallogenic significance are as follows.The Chattkar area in middle Tianshan Mountain is considered the area with the highest prospecting potential in Kyrgyzstan. It has enormous potential for the prospecting of Cu, Pb, Au, and W. It is followed by the Zarejaz area in the eastern part of the southern Tianshan Mountain, which also has great prospecting potential and is highly favorable forthe prospecting of Au, CU, W, and Sn. Besides, the western part of the southern Tianshan Mountain and the Talas-Narun area also enjoygood prospecting potential and are prospecting favorable areas of gold, copper, lead, and zinc polymetallic deposits.

Key words： gold,copper,lead,zinc,tungsten,and tin deposits evaluation of prospecting potential metallogenic elements geochemistry Kyrgyzstan

收稿日期: 2020-12-29 修回日期: 2021-05-31 出版日期: 2022-02-20

ZTFLH:

P632

基金资助:中国地质调查局地质调查项目“中亚地区大型铜金铀矿产资源基地评价”(DD20190445)

通讯作者: 罗彦军

作者简介: 王斌(1982-),男,高级工程师,主要从事中亚地区地质矿产研究工作。Email: 305590518@qq.com

引用本文:

王斌, 罗彦军, 孟广路, 张晶, 张海迪, 陈博, 何子鑫. 吉尔吉斯斯坦Au、Cu、Pb、Zn、W、Sn矿床潜力评价——基于1∶100万地球化学数据[J]. 物探与化探, 2022, 46(1): 58-69.
WANG Bin, LUO Yan-Jun, MENG Guang-Lu, ZHANG Jing, ZHANG Hai-Di, CHEN Bo, HE Zi-Xin. Potential assessment of gold, copper, lead, zinc, tungsten, and tin deposits in Kyrgyzstan based on 1∶1 000 000 scale geochemical data. Geophysical and Geochemical Exploration, 2022, 46(1): 58-69.

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https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2022.2594 或 https://www.wutanyuhuatan.com/CN/Y2022/V46/I1/58

Fig.1 吉尔吉斯斯坦1∶100万地球化学填图实际采样点位

Table 1 69种元素分析方法及检出限

Fig.2 吉尔吉斯斯坦Cu地球化学异常分布

Fig.3 吉尔吉斯斯坦Sn、W、Bi组合异常分布

Fig.4 吉尔吉斯斯坦地球化学分区

Table 2 吉尔吉斯斯坦地球化学分区

元素	数据个数	最小值	下四分位数	几何平均值	算术平均值	中位数	上四分位数	最大值	标准离差
Ag	1756	0.002	0.039	0.059	0.080	0.058	0.086	6.680	0.215
Al₂O₃	1756	0.150	8.000	9.360	10.250	11.280	12.880	16.860	3.410
As	1756	0.300	4.600	6.900	11.300	7.100	10.600	1542.600	45.700
Au	1756	0.100	0.500	1.000	2.700	1.000	1.800	584.600	19.400
B	1756	2.000	18.000	29.000	38.000	32.000	52.000	257.000	26.000
Ba	1756	32.000	479.000	632.000	743.000	650.000	861.000	4689.000	476.000
Be	1756	0.100	1.100	1.500	1.800	1.800	2.300	9.600	0.900
Bi	1756	0.010	0.140	0.200	0.280	0.200	0.290	18.960	0.620
Br	1756	0.100	0.700	1.010	1.340	1.000	1.600	30.200	1.470
CaO	1756	0.220	2.330	5.250	8.630	5.350	11.290	50.790	8.930
Cd	1756	0.003	0.077	0.125	0.170	0.125	0.202	19.365	0.475
Ce	1756	2.400	34.200	46.200	53.200	49.100	65.000	262.000	29.000
Cl	1756	19.000	51.000	76.000	136.000	74.000	107.000	28760.000	876.000
Co	1756	0.200	5.700	8.200	9.900	8.700	12.400	67.300	6.600
Cr	1756	4.200	27.800	45.000	72.600	48.000	70.100	2405.600	158.400
Cs	1756	0.400	2.700	3.700	4.300	3.900	5.400	22.400	2.300
Cu	1756	1.000	11.100	17.300	21.600	18.300	28.900	300.300	17.000
Dy	1756	0.200	2.700	3.200	3.500	3.500	4.200	15.200	1.400
Er	1756	0.100	1.600	1.900	2.100	2.100	2.500	10.200	0.900
Eu	1756	0.100	0.800	0.900	0.900	1.000	1.100	2.500	0.300
F	1756	121.000	395.000	505.000	542.000	523.000	659.000	2246.000	208.000
Ga	1756	0.500	10.400	12.300	13.600	14.800	17.200	26.200	4.800
Gd	1756	0.000	3.000	3.600	4.000	3.900	4.800	15.700	1.600
Ge	1756	0.100	1.000	1.100	1.100	1.100	1.300	2.900	0.300
Hf	1756	0.200	3.400	4.000	4.400	4.400	5.200	16.700	1.700
Hg	1756	1.000	32.000	42.300	44.000	43.000	52.000	136.500	384.000
Ho	1756	0.000	1.000	1.000	1.000	1.000	1.000	3.000	0.000
I	1756	0.100	0.400	0.600	0.700	0.500	0.800	68.200	1.700
In	1756	0.004	0.027	0.035	0.040	0.039	0.048	2.762	0.067
K₂O	1756	0.060	1.790	2.290	2.560	2.660	3.280	6.170	1.030
La	1756	2.400	18.700	24.800	27.900	25.900	33.700	138.800	14.300
Li	1756	1.700	15.400	21.000	23.500	21.500	30.200	68.100	11.000
Lu	1756	0.020	0.240	0.290	0.320	0.310	0.390	1.570	0.140
MgO	1756	0.060	1.260	1.830	2.310	1.920	2.740	29.770	2.160
Mn	1756	59.000	402.000	511.000	568.000	523.000	668.000	4768.000	307.000
Mo	1756	0.100	0.470	0.700	0.890	0.660	1.010	16.700	0.930
N	1756	20.000	130.000	216.000	304.000	213.000	367.000	5653.000	338.000
Na₂O	1756	0.090	0.980	1.470	1.810	1.580	2.650	6.240	1.050
Nb	1756	0.300	8.000	9.800	11.000	10.600	13.300	89.700	5.200
Nd	1756	1.400	16.400	20.400	22.600	22.000	27.400	90.200	10.000
Ni	1756	0.700	11.700	19.700	31.800	20.800	34.600	1294.300	71.000
P	1756	87.000	422.000	519.000	562.000	534.000	665.000	2042.000	226.000
Pb	1756	2.000	11.600	15.400	17.700	15.700	20.300	714.900	21.900
Pr	1756	0.400	4.300	5.500	6.100	5.900	7.500	26.500	2.800
Rb	1756	2.600	61.700	82.500	96.200	96.300	125.400	370.500	46.700
S	1756	24.000	102.000	191.000	377.000	179.000	320.000	42892.000	1470.000
Sb	1756	0.080	0.490	0.750	1.700	0.730	1.100	928.910	22.470
Sc	1756	1.000	6.100	8.400	9.600	9.000	12.100	54.100	4.900
Se	1756	0.010	0.080	0.140	0.210	0.130	0.240	2.890	0.250
SiO₂	1756	9.580	55.020	57.670	59.590	62.860	67.900	85.390	12.580
Sm	1756	0.300	3.200	3.900	4.300	4.300	5.200	16.200	1.800
Sn	1756	0.100	1.500	1.900	2.300	2.000	2.600	230.000	5.700
Sr	1756	17.000	143.000	204.000	240.000	205.000	287.000	3176.000	182.000
Ta	1756	0.050	0.480	0.680	0.810	0.760	1.030	6.920	0.500
Tb	1756	0.040	0.480	0.570	0.620	0.610	0.740	2.520	0.240
TC	1756	0.000	0.400	1.100	2.100	1.200	2.700	13.700	2.400
Te	1756	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
TFe₂O₃	1756	0.460	2.830	3.630	3.990	3.830	4.970	12.760	1.640
Th	1756	0.800	6.100	8.300	9.600	8.800	11.600	66.000	5.500
Ti	1756	194.000	1925.000	2466.000	2741.000	2671.000	3427.000	11773.000	1205.000
Tl	1756	0.060	0.350	0.470	0.530	0.510	0.680	2.060	0.240
Tm	1756	0.020	0.250	0.300	0.330	0.320	0.400	1.630	0.140
U	1756	0.400	1.700	2.300	2.500	2.300	3.000	16.700	1.200
V	1756	1.900	44.200	62.700	74.600	69.000	98.500	388.100	41.700
W	1756	0.110	0.890	1.330	1.870	1.330	1.840	125.800	4.650
Y	1756	1.400	14.400	17.600	19.100	18.700	22.600	93.900	7.700
Yb	1756	0.200	1.600	1.900	2.100	2.100	2.500	10.600	0.900
Zn	1756	9.000	39.000	51.800	57.700	53.600	72.300	1029.200	34.100
Zr	1756	12.000	99.000	122.000	134.000	129.000	163.000	659.000	61.000

Table 3 吉尔吉斯部分成矿元素地球化学参数统计

Table 4 吉尔吉斯主要成矿元素富集系数

元素	算术平均值 ( $X -$ )	标准离差 (S₀)	变异系数 (C_v)	备注	元素	算术平均值 ( $X -$ )	标准离差 (S₀)	变异系数 (C_v)	备注
Sb	1.70	22.47	13.22	高	Ba	743.00	476.00	0.64	弱
Hg	44.00	384.00	8.73		Zn	57.70	34.10	0.59
Au	2.70	19.40	7.19		Th	9.60	5.50	0.57
Cd	0.17	0.48	2.79	较高	V	74.60	41.70	0.56
Ag	0.08	0.22	2.69		Mn	568.00	307.00	0.54
W	1.87	4.65	2.49		La	27.90	14.30	0.51
Sn	2.30	5.70	2.48		Be	1.80	0.90	0.50
Ni	31.80	71.00	2.23		U	2.50	1.20	0.48
Bi	0.28	0.62	2.21		Nb	11.00	5.20	0.47
Cr	72.60	158.40	2.18		Li	23.50	11.00	0.47
Pb	17.70	21.90	1.24	一般	Zr	134.00	61.00	0.46
Mo	0.89	0.93	1.04	一般	Ti	2741.00	1205.00	0.44
Cu	21.60	17.00	0.79	弱	TFe₂O₃	3.99	1.64	0.41
Sr	240.00	182.00	0.76		Y	19.10	7.70	0.40
Co	9.90	6.60	0.67		P	562.00	226.00	0.40

Table 5 吉尔吉斯主要成矿元素变异系数

Table 6 吉尔吉斯斯坦成矿有利度系数(Ma)统计

Table 7 元素异常显著度统计排序

Fig.5 综合显著度柱状图

Fig.6 吉尔吉斯斯坦找矿预测

[1]	王玮, 王学求, 张必敏, 等. 老挝国家尺度地球化学填图进展--以氟元素为例[J]. 桂林理工大学学报, 2019,39(2):335-340.
[1]	Wang W, Wang X Q, Zhang B M, et al. Progress in national scale and geochemical mapping of Laos:Taking fluorine element as an example[J]. Journal of Guilin University of Technology, 2019,39(2):335-340.
[2]	王斌, 孟广路, 马中平, 等. 吉尔吉斯斯坦矿产资源潜力及矿业投资建议[J]. 中国矿业, 2017,26(11):126-131.
[2]	Wang B, Meng G L, Ma Z P, et al. Mineral resources potential and mining investment proposals in Kyrgyzstan[J]. China Mining Magazine, 2017,26(11):126-131.
[3]	王斌, 陈博, 计文化, 等. 吉尔吉斯南天山Djanydjer蛇绿混杂岩地质特征及辉长岩年代学研究[J]. 地学前缘, 2016,23(3):198-209.
[3]	Wang B, Chen B, Ji W H, et al. Geological features of Djanydjer ophiolitic mélange and chronology of gabbro in Kyrgyz, South Tianshan[J]. Earth Science Frontiers, 2016,23(3):198-209.
[4]	王学求, 迟清华, 孙宏伟, 等. 荒漠戈壁区超低密度地球化学调查与评价——以东天山为例[J]. 新疆地质, 2001,19(3):200-206.
[4]	Wang X Q, Chi Q H, Sun H W, et al. Wide-spaced geochemical survey in arid desert terrain:A case history from the eastern tianshan regions, northwestern China[J]. Xinjiang Geology, 2001,19(3):200-206.
[5]	孟广路, 王斌, 范堡程, 等. 中国—吉尔吉斯天山成矿单元划分及其特征[J]. 地质通报, 2015,34(4):696-709.
[5]	Meng G L, Wang B, Fan B C, et al. Classification and metallogenesis of metallogenic belts of the Tianshan Moun-tains in China and Kyrgyzstan[J]. Geological Bulletin of China, 2015,34(4):696-709.
[6]	陈博, 马中平, 孟广路, 等. 吉尔吉斯天山晚古生代岩浆活动及相关成矿作用[J]. 地质学报, 2017,91(4):913-926.
[6]	Chen B, Ma Z P, Meng G L, et al. Late paleozoic magmatic activities and related mineralization of Tianshan in Kyrgyzstan[J]. Acta Geologica Sinica, 2017,91(4):913-926.
[7]	尼古诺罗夫. 吉尔吉斯斯坦矿产[M]. 比什凯克: 古雷纳尔出版社, 2009.
[7]	Nikolaolov. Kyrgyz minerals[M]. Bishkek: Gurrenard, 2009.
[8]	李恒海, 邱瑞照. 中亚五国矿产资源勘查开发指南[M]. 武汉: 中国地质大学出版社, 2010.
[8]	Li H H, Qiu R Z. Guidelines for mineral resources exploration and development in five central Asian countries [M]. Wuhan: China University of Geosciences Press, 2010.
[9]	张本仁. 秦巴区域地球化学文集[M]. 武汉: 中国地质大学出版社, 1990.
[9]	Zhang B. Qinba regional geochemistry [M]. Wuhan: China University of Geosciences Press, 1990.
[10]	王满仓, 王疆涛, 彭海练, 等. 大比例尺地球化学勘查技术在隐伏矿找矿实践中的应用——以内蒙古乌拉特后旗查干德尔斯大型钼矿为例[J]. 物探与化探, 2018,42(4):668-674.
[10]	Wang M C, Wang J T, Peng H L, et al. The application of large-scale geochemical prospecting technique to the prospecting for concealed ore deposits: A case study of the Chagandeersi large molybdenum deposit in Urad Rear Banner, Inner Mongolia[J]. Geophysical and Geochemical Exploration, 2018,42(4):668-674.
[11]	张勤山, 马楠, 郝亚青, 等. 综合化探方法在青海夏日哈木超大型铜镍矿床中的找矿应用[J]. 物探与化探, 2016,40(3):429-437.
[11]	Zhang Q S, Ma N, Hao Y Q, et al. A study of integrated geochemical exploration method and its application to the Xiarihamu superlarge Cu-Ni deposit, Qinghai Province[J]. Geophysical and Geochemical Exploration, 2016,40(3):429-437.
[12]	伦知颖, 程志忠, 严光生, 等. 中国不同景观区水系沉积物中39种元素的背景值[J]. 地学前缘, 2015,22(5):226-230.
[12]	Lun Z Y, Cheng Z Z, Yan G S, et al. Concentrations of 39 elements in stream sediment landscape zones of China[J]. Earth Science Frontiers, 2015,22(5):226-230.
[13]	蒙晓莲. 粤东地区地层含矿性探讨系列[J]. 有色金属矿产与勘探, 1994,3(3):151-157.
[13]	Meng X L. A series of studies on the ore-bearing properties of strata in eastern Guangdong region[J]. Nonferrous Metals Mineral and Exploration, 1994,3(3):151-157.
[14]	赵鹏大, 胡旺亮, 李紫金, 等. 矿床统计预测[M]. 北京: 地质出版社, 1983:10-50.
[14]	Zhao P D, Hu W L, Li Z J, et al. Statistical prediction of mineral deposits [M]. Beijing: Geological Publishing House, 1983:10-50.

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