Welcome to visit Geoscience!

Geoscience ›› 2022, Vol. 36 ›› Issue (03): 911-922.DOI: 10.19657/j.geoscience.1000-8527.2022.025

• Ore Geology • Previous Articles     Next Articles

Geochemical Characteristics and Geological Significance of Stream Sediments in Changjiashan Region, Western Qinling Orogen

WANG Bin1,2(), REN Tao1, SONG Yiwei2, YANG Ke2, WANG Zhanbin2, SUN Yake2   

  1. 1. Faculty of Land and Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
    2. Xi’an Center of Mineral Resources Survey, China Geological Survey, Xi’an, Shaanxi 710199, China
  • Received:2021-12-06 Revised:2022-04-20 Online:2022-06-10 Published:2022-07-19

Abstract:

The northern sub-belt of Western Qinling Orogen is endowed with abundant polymetallic resource. To delineate mineral exploration targets, a 1:25,000 stream sediment geological survey was carried out in the Changjiashan district. Statistical analysis was performed from 1,141 samples for Kernal Density Estimation elements (Au, Ag, As, Sb, Bi, Cu, Pb, Zn, W, and Mo). Element concentrations are higher than the national and regional average, indicating metallogenic potential in the area. Element combinations of the four factors were obtained based on factor analysis, i.e., F1(Bi-Cu-Zn), F2(Au-As-Sb), F3(Ag-Pb), and F4(W-Mo). We obtained thresholds of geochemical elements and factor scores, and geochemical mapping via Concentration-Area (C-A) fractal modeling and Kriging interpolation, respectively. Combined with regional ore-controlling factors and anomaly spatial distributions, three polymetallic anomaly areas, i.e., Hz1, Hz2, and Hz3, were delineated. Geochemical halos comprise the supra-ore halo, near-ore hole, and sub-ore halo from northwest to southeast. Distribution of stream sediment geochemical anomalies indicates that all mineralization was fault-controlled, and the area close to the NW-trending Lixian-Lüjing fault at Changjiashan represents a favorable prospecting target.

Key words: stream sediment survey, geochemical characteristic, kernel density estimation, factor analysis, fractal modeling, Western Qinling Orogen

CLC Number: