基于证据权和随机森林的山东微山稀土矿三维成矿预测
Evidence right and random forest based 3D metallogenic prediction of Weishan REE deposit in Shandong Province
摘要
Abstract
[Objective]3D mineral resource potential evaluation serves as a vital tool for deep mineral exploration.In recent years,the integration of machine learning algorithms has significantly improved the accuracy of such 3D mineral resource potential evaluation,contributing substantially to advances in mineral exploration.The current mining elevation of the Weishan rare earth element(REE)deposit in Shandong is approximately-200 m,and the continuation of deep resources is facing challenges.This study aims to delineate the ore-controlling factors,develop a quantitative predictive model,and identify potential exploration targets.[Methods]3D geological modeling was constructed to delineate the spatial distribution of ore bodies,lithological units,and structural features.Key geological factors,including lithology,structure,and geochemical signatures,were quantitatively derived from the models.Mineralization prospectivity was then evaluated and compared using the weight-of-evidence(WoE)and random forest(RF)methods.[Results]The WoE was applied to assess the relationships between geological factors and mineralization,followed by the calculation of corresponding weight values.Subsequently,a random forest(RF)model was constructed based on these weighted factors for deep mineral potential prediction.Integrated with the regional metallogenic framework,two prospective exploration targets were delineated.[Conclusions]The integrated"3D modeling-weights of evidence-random forest"approach developed in this study provides an effective framework for enhancing the accuracy of deep mineral exploration.The results demonstrate that the Weishan REE deposit exhibits promising exploration potential at depth,and the delineated target areas offer practical guidance for further exploration.关键词
三维成矿预测/三维地质建模/证据权/随机森林/微山稀土矿/山东Key words
3D metallogenic prediction/3D geological modeling/evidence of weight/random Forest/weishan REE deposit/Shandong Province分类
天文与地球科学引用本文复制引用
董旭朝,邢楠,李得建,王健,徐洪岩,孙莉,肖克炎,兰君,李程,樊铭静,杨鑫,张鹏,李志民..基于证据权和随机森林的山东微山稀土矿三维成矿预测[J].地质通报,2025,44(12):2338-2356,19.基金项目
自然资源部深部金矿勘查开采技术创新中心开放课题(编号:LDKF-2023BZX-20)、国家重点研发计划(编号:2023YFC2906404、2023YFC2906605)、中国地质调查局项目(编号:DD20230366)、河北省战略性关键矿产研究协同创新中心开放基金(编号:HGUXT-2024-1)、湖南省地调项目(编号:HNGSTP202302)、河北省自然资源厅地质勘查专项基金项目(编号:13000023P00F2D410251H、13000024P00F2D4104649)、河北省中央引导地方科技发展资金项目(编号:246Z4205G)、四川省财政投资地质勘查项目《四川省冕宁县马头金矿区普查》(编号:DZ202318)Supported by the Open Project of the Technology Innovation Center for Exploration and Exploitation of Deep Gold Deposits,Ministry of Natural Resources(No.LDKF-2023BZX-20),the National Key Research and Development Program of China(Nos.2023YFC2906404,2023YFC2906605),the Project of China Geological Survey(No.DD20230366) （编号:LDKF-2023BZX-20）
the Open Fund of Hebei Collaborative Innovation Center for Strategic Critical Mineral Research(No.HGUXT-2024-1),the Geological Survey Project of Hunan Province(No.HNGSTP202302) （No.HGUXT-2024-1）
the Special Geological Exploration Fund Project of Hebei Provincial Department of Natural Resources(Nos.13000023P00F2D410251H,13000024P00F2D4104649) （Nos.13000023P00F2D410251H,13000024P00F2D4104649）
the Hebei Central Government Guides Local Science and Technology Development Fund Project(No.246Z4205G),and the Sichuan Provincial Fiscal Investment Geological Exploration Project"General Survey of the Matou Gold Deposit in Mianning County,Sichuan Province"(No.DZ202318) （No.246Z4205G）
