Numerical modeling of structural reactivation and its controls on the formation of the Douzhashan granite-type uranium deposits, South China

地质学 铀矿石 地球化学 构造学 深成岩体 矿化(土壤科学) 外延定义 热液循环 空间分布 断层(地质) 矿物学 地震学 土壤科学 材料科学 遥感 土壤水分 冶金
作者
Yongqiang Zou,Zenghua Li,Shuang Tan,Guo Chunying,Hongye Huang,Teng Deng,Chuandong Liu,Zhao Li
出处
期刊:Ore Geology Reviews [Elsevier BV]
卷期号:162: 105733-105733 被引量:2
标识
DOI:10.1016/j.oregeorev.2023.105733
摘要

Granite-type uranium deposits are spatially associated with granitic rocks but structurally controlled and hydrothermal in nature. The Miaoershan-Yuechengling region is regarded as one of the most significant granite-type uranium resource areas in South China. Specifically, the Douzhashan uranium orefield, located in the middle of the Miaoershan pluton, is primarily controlled by secondary fault zones trending NE and NNE. Previous studies indicate that the fault zones have undergone multiple periods of structural reactivation. Nevertheless, the effects of structural reactivation on the spatial distribution of uranium deposits remain unclear. In this study, two-dimensional numerical simulations were conducted on the Douzhashan uranium orefield to investigate the effects of stress field direction and depth on the dilational zones generated by fault activation and to examine the relationship between strain distribution and uranium deposits. The simulation results indicate that the pre-existing NE- and NNE-trending faults provided favorable mineralization space through developing dilational zones during extensional tectonic deformation. Furthermore, the distribution characteristics of the dilational zones under the conditions of depths of 3–4 km were found to be relatively more consistent with the known distribution of uranium deposits, suggesting that the uranium mineralization may occur at depths of 3–4 km. These findings provide valuable insights into the controlling factors for the spatial distribution of uranium deposits in the Douzhashan uranium orefield as well as future exploration in this area.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
丘比特应助凤凰山采纳,获得30
3秒前
3秒前
3秒前
4秒前
mushiyu完成签到 ,获得积分10
4秒前
Jason发布了新的文献求助10
5秒前
NexusExplorer应助杨文静采纳,获得10
6秒前
Jasper应助zzy采纳,获得10
6秒前
Itazu完成签到,获得积分10
7秒前
自觉的万言应助欢迎光Ling采纳,获得10
7秒前
波波发布了新的文献求助10
8秒前
300发布了新的文献求助10
9秒前
WBN9264发布了新的文献求助30
10秒前
香蕉觅云应助风移采纳,获得10
10秒前
淡淡沛容应助xuan采纳,获得30
12秒前
盲点发布了新的文献求助10
13秒前
13秒前
无故事发布了新的文献求助10
17秒前
18秒前
20秒前
打打应助112233采纳,获得10
20秒前
三号技师完成签到,获得积分10
21秒前
21秒前
24秒前
科研通AI6.1应助盲点采纳,获得10
24秒前
波波完成签到,获得积分10
24秒前
24秒前
24秒前
Lucky发布了新的文献求助50
25秒前
机智的宝儿姐完成签到,获得积分10
25秒前
冷酷男人发布了新的文献求助10
26秒前
斯文败类应助4Xchua采纳,获得10
26秒前
tt发布了新的文献求助10
26秒前
凤凰山发布了新的文献求助30
27秒前
28秒前
29秒前
29秒前
无故事完成签到,获得积分10
30秒前
小酥肉发布了新的文献求助10
31秒前
745789完成签到,获得积分10
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363290
求助须知:如何正确求助?哪些是违规求助? 8177191
关于积分的说明 17231984
捐赠科研通 5418386
什么是DOI,文献DOI怎么找? 2867035
邀请新用户注册赠送积分活动 1844285
关于科研通互助平台的介绍 1691794