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地壳厚度对中国金矿床空间分布规律的制约
引用本文:朱平平,成秋明,武国朋.地壳厚度对中国金矿床空间分布规律的制约[J].矿床地质,2019,38(3):479-490.
作者姓名:朱平平  成秋明  武国朋
作者单位:中国地质大学地球科学与资源学院,地质过程与矿产资源国家重点实验室,北京 100083;中国地质大学地球科学与资源学院,地质过程与矿产资源国家重点实验室,北京 100083;中国地质大学地球科学与资源学院,地质过程与矿产资源国家重点实验室,北京 100083
基金项目:本文得到国家重点研发计划专项(编号:2016YFC060051)、国家自然科学基金项目(编号:41430320和41572315)和中国地质调查局项目(编号:DD20160045)资助
摘    要:圈定成矿远景区并进行矿产勘查,是新一轮找矿突破的重要内容。在当前大数据和深部地球的背景下,文章根据金矿床空间分布对所在的地壳厚度和地表高程进行了空间连接和相关统计分析,并初步圈定了金矿床的成矿远景区。研究结果表明,地壳厚度为35 km和高程为200 m左右的区域,是金矿床产出的有利区域,并且金矿床的地壳厚度极值和频率呈现分形关系,为金矿床靶区的预测,提供了基本的非线性深部矿产资源预测数学模型;根据金矿床和地壳厚度、高程等的关系,对金矿床的优势成矿远景区进行了预测。预测结果显示,松嫩盆地周边,济南-郑州-武汉-长沙-南宁沿线及周边,是金矿床产出的有利远景区域。

关 键 词:地质学  地壳厚度  深部地球  大数据  金矿床  远景区
收稿时间:2018/5/23 0:00:00
修稿时间:2019/4/3 0:00:00

Constraint of crustal thickness on gold deposit spatial distribution of China
ZHU PingPing,CHENG QiuMing and WU GuoPeng.Constraint of crustal thickness on gold deposit spatial distribution of China[J].Mineral Deposits,2019,38(3):479-490.
Authors:ZHU PingPing  CHENG QiuMing and WU GuoPeng
Institution:School of Earth Sciences and Resources, State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China,School of Earth Sciences and Resources, State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China and School of Earth Sciences and Resources, State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China
Abstract:The area which is defined as metallogenic potential area and requires following up in mineral exploration plays an important role in the process of prospecting breakthrough and deposit study. Based on the background of big data and deep earth, this paper analyzes the correlation statistics between crust thickness, elevation and gold deposits, and preliminarily delineates the metallogenic prospective area of the gold deposits. The results show that the area with ca. 35 km in crust thickness and ca. 200 m in height is a favorable area for gold mineralization. In addition, the fractal relation between the extreme value of the crust thickness and the frequency of the gold deposit provides a basic non-linear prediction model for gold deposit. According to the correlation between gold deposits, crustal thickness and elevation, the metallogenic prospective area of gold deposit is predicted. The prediction results show that the Ji''nan-Zhengzhou-Wuhan-Changsha-Nanning region along the periphery of Songnen basin is a favorable prospective area for gold mineralization.
Keywords:geology  crustal thickness  deep earth  big data  gold deposit  prospective area
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