Anomaly Characteristics of 1:50,000 Stream Sediments Survey and Analysis on Prospecting Effect in Mengweng Area, Yunnan

doi:10.19657/j.geoscience.1000-8527.2021.01.27

Abstract

Abstract:

Mengweng area of Yunnan Province is located at the southern end of Lincang-Menghai rare earth-polymetallic mineralization subzone, where granite weathering crust is well developed and rare earth mineralization conditions are favorable.In order to coordinate the geological survey of the mineral resources in the area and narrow the scope of prospecting, 1:50,000 stream sediment survey for rare earth minerals was carried out in the area, this paper summarizes the geochemistry distribution, enrichment, element combination and anomaly of 29 elements, including La, Y and Zr, and delineates the comprehensive anomaly.The analysis shows that La, Y, Zr, W, Sn and Au are the main ore-forming elements in the area.The anomaly of La, Y and other related elements such as F, P are well nested, and its abnormal characteristics are obvious.On the basis of the mea-surement of stream sediments, the work of anomaly verification and mineral inspection was carried out, and delineation of three prospecting targets, one of them was transformed into a newly discovered ore producing area, and good prospecting results have been obtained.

Key words: stream sediments survey, abnormal characteristic, prospecting effect, rare earth ore, Yunnan

CLC Number:

P632
P595

ZENG Kai, LIU Hai, HUANG Dejiang, GUO Wei, QI Shuanglin, SI Xiaohua, YANG Yuzhen. Anomaly Characteristics of 1:50,000 Stream Sediments Survey and Analysis on Prospecting Effect in Mengweng Area, Yunnan[J]. Geoscience, 2021, 35(01): 270-280.

Figures/Tables 10

Fig.1 Regional tectonic framework (a) and geological sketch (b) of the study area

Table 1 Statistical table of geochemical parameters

元素	最小值	几何平均值	算术平均值	最大值	标准离差	一级浓度克拉克值K₁	变异系数C_v	1:20万平均值	二级浓度克拉克值 $K 2 ③$
Ag	0.02	0.061	0.067	0.688	0.038	1.11	0.58	0.071	0.944
As	0.4	4.2	5.9	79.2	6.1	1.34	1.03	9.7	0.608
Au	0.3	0.6	0.8	44.9	1.2	0.9	1.61	1	0.800
B	4	16	18	129	11	0.85	0.63	45	0.400
Be	0.2	1.6	1.8	6	0.9	0.79	0.49	2.1	0.857
Bi	0.04	0.47	0.56	12.8	0.45	3.13	0.80	0.30	1.867
Cd	0.024	0.077	0.091	1.86	0.073	1.13	0.81	0.145	0.628
Co	3.10	7.00	7.9	41.60	4.10	0.79	0.52	13.20	0.598
Cr	2.0	32.0	38.8	314	24.1	0.84	0.62	57.1	0.680
Cu	3.5	8.4	10.6	365	10.9	0.62	1.03	19.7	0.538
F	142	337	354	1 405	118	0.73	0.33	38	9.316
Ga	1.6	10.2	11.9	38.9	6.3	0.63	0.53
Ge	0.6	1.2	1.2	3.1	0.2	0.89	0.18
Hg	0	16	23	759	28	1.95	1.2	38	0.605
La	3.9	26.9	31.4	109	16.8	0.78	0.54	42.4	0.741
Li	2.1	14.6	15.8	51.2	6.6	0.69	0.42	27.9	0.566
Mo	0.16	0.41	0.47	3.47	0.29	0.76	0.61	0.6	0.783
Nb	4	13.2	14.8	50.7	6.8	0.99	0.46	17.2	0.860
Ni	1.6	18	23.9	140	16.1	0.96	0.67	24.9	0.960
P	85	381	454	2 807	300	0.83	0.66	570	0.796
Pb	3.2	33.7	36.3	448	16.1	1.91	0.44	25.7	1.412
Rb	2.4	123.9	145.5	360	66.4	1.32	0.46
Sb	0.08	0.31	0.38	17	0.58	1.11	1.54	0.78	0.487
Sn	0.7	4.4	5.5	55.3	3.7	2.63	0.68	4.7	1.170
V	11.1	43.6	50.3	193	26.9	0.73	0.54	78.8	0.638
W	0.24	2	2.55	61.4	2.66	2.63	1.04	2.71	0.941
Y	4.6	18.8	21.2	163	10.9	1.01	0.52	30.9	0.686
Zn	4	22.4	32.6	194	25.9	0.48	0.79	61.9	0.527
Zr	10	149	172	1 120	95	0.86	0.55	429	0.401

Table 1 Statistical table of geochemical parameters

元素	最小值	几何平均值	算术平均值	最大值	标准离差	一级浓度克拉克值K₁	变异系数C_v	1:20万平均值	二级浓度克拉克值 $K 2 ③$
Ag	0.02	0.061	0.067	0.688	0.038	1.11	0.58	0.071	0.944
As	0.4	4.2	5.9	79.2	6.1	1.34	1.03	9.7	0.608
Au	0.3	0.6	0.8	44.9	1.2	0.9	1.61	1	0.800
B	4	16	18	129	11	0.85	0.63	45	0.400
Be	0.2	1.6	1.8	6	0.9	0.79	0.49	2.1	0.857
Bi	0.04	0.47	0.56	12.8	0.45	3.13	0.80	0.30	1.867
Cd	0.024	0.077	0.091	1.86	0.073	1.13	0.81	0.145	0.628
Co	3.10	7.00	7.9	41.60	4.10	0.79	0.52	13.20	0.598
Cr	2.0	32.0	38.8	314	24.1	0.84	0.62	57.1	0.680
Cu	3.5	8.4	10.6	365	10.9	0.62	1.03	19.7	0.538
F	142	337	354	1 405	118	0.73	0.33	38	9.316
Ga	1.6	10.2	11.9	38.9	6.3	0.63	0.53
Ge	0.6	1.2	1.2	3.1	0.2	0.89	0.18
Hg	0	16	23	759	28	1.95	1.2	38	0.605
La	3.9	26.9	31.4	109	16.8	0.78	0.54	42.4	0.741
Li	2.1	14.6	15.8	51.2	6.6	0.69	0.42	27.9	0.566
Mo	0.16	0.41	0.47	3.47	0.29	0.76	0.61	0.6	0.783
Nb	4	13.2	14.8	50.7	6.8	0.99	0.46	17.2	0.860
Ni	1.6	18	23.9	140	16.1	0.96	0.67	24.9	0.960
P	85	381	454	2 807	300	0.83	0.66	570	0.796
Pb	3.2	33.7	36.3	448	16.1	1.91	0.44	25.7	1.412
Rb	2.4	123.9	145.5	360	66.4	1.32	0.46
Sb	0.08	0.31	0.38	17	0.58	1.11	1.54	0.78	0.487
Sn	0.7	4.4	5.5	55.3	3.7	2.63	0.68	4.7	1.170
V	11.1	43.6	50.3	193	26.9	0.73	0.54	78.8	0.638
W	0.24	2	2.55	61.4	2.66	2.63	1.04	2.71	0.941
Y	4.6	18.8	21.2	163	10.9	1.01	0.52	30.9	0.686
Zn	4	22.4	32.6	194	25.9	0.48	0.79	61.9	0.527
Zr	10	149	172	1 120	95	0.86	0.55	429	0.401

Fig.2 R-type cluster analysis spectrum of 1:50,000 stream sediment measurement elements in the study area

Fig.3 Abnormal distribution of main single elements in the study area

Table 2 Comprehensive anomaly evaluation and classification results in the study area

异常编号	套合元素		异常面积	连续性	浓度分级	套合程度	地质特征	矿化蚀变	遥感特征	总序数	排序	异常等级	主成矿元素
异常编号	个数	赋值	赋值	赋值	赋值	赋值	赋值	赋值	赋值	总序数	排序	异常等级	主成矿元素
HS1 HS2	7 8	3 3	3 3	3 3	1 1	3 3	3 3	3 3	3 3	22 22	1 1	甲₂ 甲₂	Y-La-P-Zr Y-La-P
HS3 HS4	4 4	2 2	2 2	2 2	1 1	1 2	1 2	1 2	1 3	11 17	5 2	乙₃ 乙₂	Y-La Y-La-P-Zr
HS5 HS6	5 4	2 2	2 3	2 3	0 0	2 1	2 1	1 1	1 0	12 10	4 6	乙₂ 乙₃	Cr-W-Y-La Au-Y-La
HS7 HS8	4 6	2 2	3 3	3 3	0 0	2 2	2 2	0 0	2 2	16 16	3 3	乙₂ 乙₂	W-Au-La-Y W-Au-La
HS9	6	2	1	1	0	2	2	0	2	12	4	乙₂	W-Sn

Fig.4 Comprehensive abnormal distribution map of sediment survey in 1:50,000 river system in the study area

Fig.5 HS1 comprehensive abnormal analysis

Fig.6 Projects distribution of key abnormal verification

Fig.7 Drilling histogram and stripping sketch of comprehensive abnormal area

Fig.8 Prospecting effect in the study area

References 19

[1]	王登红, 赵芝, 于扬, 等. 我国离子吸附型稀土矿产科学研究和调查评价新进展[J]. 地球学报, 2017,38(3):317-325.
[2]	李文昌, 潘桂棠, 侯增谦, 等. 西南“三江”多岛弧盆-碰撞造山成矿理论与勘查技术[M]. 北京: 地质出版社, 2010: 273-274.
[3]	陆蕾, 王成辉, 王登红, 等. 云南临沧花岗岩中离子吸附型稀土矿床的成矿规律[J]. 地质学报, 2019,93(6):1466-1478.
[4]	王磊, 杨建国, 王小红, 等. 甘肃北山炭山子—黄草泉一带水系沉积物地球化学特征及找矿远景[J]. 现代地质, 2016,30(6):1276-1284.
[5]	王瑞廷, 毛景文, 任小华, 等. 区域地球化学异常评价的现状及其存在的问题[J]. 中国地质, 2005,32(1):168-175.
[6]	曾凯, 李朗田, 祝向平, 等. 滇西勐往—曼卖地区离子吸附型稀土矿成矿规律与找矿潜力[J]. 地质与勘探, 2019,55(1):19-29.
[7]	柳坤峰, 冯昌荣, 翟黎明, 等. 新疆乌恰县吾合沙鲁地区水系沉积物地球化学特征与找矿远景[J]. 现代地质, 2019,33(4):759-771.
[8]	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: 206-230.
[9]	斯梅斯洛夫А А, 鲁德尼克В А, 金科夫Н М, 等. 地球化学预测与找矿[M].阎立本,译. 北京: 地质出版社, 1985: 9-79.
[10]	陈亮, 王惠艳, 孙诚业. 多背景下异常衬值法在地球化学异常信息提取中的应用——以黑龙江多宝山地区为例[J]. 物探与化探, 2018,42(6):1150-1155.
[11]	李凯, 廖咏, 黄凝, 等. 新疆巴里坤望洋台一带1:5万水系沉积物测量异常特征及找矿靶区优选[J]. 物探与化探, 2019,43(6):1236-1245.
[12]	曾凯, 肖明顺, 肖明尧, 等. 内蒙古老鹿场预查区综合找矿信息及找矿方向[J]. 地质学刊, 2015,39(3):431-438.
[13]	曾凯, 徐映辉, 李朗田. 云南省开远地区中三叠统法郎组锰矿成矿地质条件及控矿特征[J]. 地质科技情报, 2017,36(6):43-49.
[14]	罗素菲. 区域化探异常(老资料)评价、评序方法讨论[J]. 物探与化探, 1986,10(5):332-342.
[15]	杨永忠. 区域化探综合异常评序方法初探[J]. 物探化探计算机技术, 1999,21(4):1-6.
[16]	朱华平, 张德全. 区域化探异常的地球化学勘查评价方法技术进展综述[J]. 地质与勘探, 2003,39(3):35-38.
[17]	缪远兴, 罗卫, 唐攀科, 等. 广东省麻布岗地区1:5万水系沉积物测量异常评价及找矿方向[J]. 物探与化探, 2014,38(1):10-17.
[18]	张彬, 祝向平, 张斌辉, 等. 云南腾冲土官寨离子吸附型稀土矿床地球化学特征[J]. 中国稀土学报, 2019,37(4):491-506.
[19]	李文. 广东饶平县某花岗岩风化壳离子吸附型稀土矿床的地质地球化学特征[J]. 中山大学研究生学刊(自然科学版), 1995,16(3):37-46.