中国科技核心期刊
美国化学文摘社(CAS)数据库
美国EBSCO学术数据库
日本科学技术振兴机构数据库(JST)
刘文毅|梁楠鑫|杜虹|刘中杰|辛梓豪|喻姝研|张娅
Liu Wenyi1,2, Liang Nanxin2,3, Du Hong¹, Liu Zhongjie¹, Xin Zihao2,3, Yu Shuyan2,3, Zhang Ya¹
熊耳山地区是中国重要的金矿集区,其复杂的构造作用导致与金成矿相关的地球化学异常在空间上呈现非均匀、非线性分布特点,这些特点在传统地球化学预测模型中无法体现。而地理加权回归模型能充分表达地质体分布的各向异性,实现非线性关联的定量化表达。因此,基于水系沉积物地球化学数据,采用地理加权回归模型对熊耳山地区与金成矿相关的地球化学异常进行定量提取。结果显示,与金成矿相关的地球化学异常的高值异常区主要集中在中东部的青岗坪、李岗寨、红椿沟等地区,多沿控矿断裂分布,呈带状展布特征,与区域成矿规律一致。地理加权回归模型的AUC值高达0.918,具备较高的准确度。基于异常提取结果,在熊耳山地区圈定了8处找矿远景区,可为金矿勘查工作提供重要参考。
The Xiongershan Area is a significant gold province in China. Due to complex tectonic activities. gold-related geochemical anomalies in the area show spatially heterogeneous and nonlinear distribution patterns, which are difficult to characterize using traditional geochemical prediction models. In contrast, the geographically weighted regression (GWR) model effectively captures the anisotropic distribution of geological bodies and enables the quantitative expression of nonlinear relationships. Based on stream sediment geochemical data, this study applied the GWR model to quantitatively extract gold-related geochemical anomalies in the Xiongershan Area. The results indicate that areas with higher anomalous values among the anomalies are mainly concentrated in the central and eastern areas, such as Qinggangping, Ligangzhai, and Hongchungou, and predominantly distributed along ore-controlling faults in a belt-like pattern, consistent with regional metallogenic rules. The AUC value of the GWR model reached 0.918, demonstrating high accuracy. Based on the e anomaly extraction results, 8 target areas with prospecting prospects were delineated in the Xiongershan Area, providing valuable references for future gold exploration efforts.