Spatiotemporal mapping of (ultra-)mafic magmatic mine areas: Implications of economic and political realities in China
Heling Li, Liang Tang, Tim T. Werner, Zhengmeng Hou, Fan Meng, Jingjing Li
在全球资源竞争日益激烈的背景下,矿产资源的精确勘探与合理利用尤为重要。然而,受限于复杂多变的地质环境与传统勘探技术的局限,如何有效探测并合理开发矿产资源,一直是亟待解决的重大挑战。本文实现了对我国基性、超基性岩采矿场地前所未有的精细探测与全面解析,为矿业规划、环境保护提供了宝贵的数据支撑。
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Heling Li, Liang Tang, Tim T. Werner, Zhengmeng Hou, Fan Meng, Jingjing Li. Spatiotemporal mapping of (ultra-)mafic magmatic mine areas: implications of economic and political realities in China. Deep Underground Science and Engineering. 2024; 3(1): 91-102. doi:10.1002/dug2.12067
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01
本文简介:
本研究通过查阅科学论文、公开报告和政府文件等相关材料初步获取矿区的地理坐标,将地理坐标数字化之后在Google Earth进行定位,获得矿区的初步遥感影像。对遥感影像进行目视解译,根据目视解译结果建立矿区识别特征,将矿区特征与遥感影像进一步对比识别,获取新的矿区识别结果。将获得的矢量数据与现有的研究成果交叉对比,在实地验证之后剔除错误数据,将正确数据生成《中国基性、超基性岩采矿场地数据集》,根据此数据集对采矿场地的形态,分布等特征进一步分析。
Brief Introduction:
In this study, the geographic coordinates of the mining area were initially obtained by reviewing relevant materials such as scientific papers, public reports and government documents, and the geographic coordinates were digitized and positioned in Google Earth to obtain preliminary remote sensing images of the mining area. The remote sensing images are visually interpreted, and based on the results of the visual interpretation, the identification features of the mining area are established, and the features of the mining area are further compared and identified with the remote sensing images, so as to obtain the new identification results of the mining area. After cross-comparing the obtained vector data with the existing research results and field verification, the wrong data are eliminated, and the correct data are used to generate the " Spatiotemporal mapping of (ultra‐)mafic magmatic mine areas Dataset", based on which the morphology, distribution and other characteristics of the mining sites are further analyzed.
02
本文亮点:
本研究提供了中国基性超基性岩矿区的综合数据集,包括1233个矿区,面积约322.96平方公里。
基性、超基性岩矿区的扩张很大程度受矿石价格的影响。
矿区斑块的复杂度与采矿阶段紧密相关,较低复杂性指数分别表示早期/手工/小规模开采
Highlights:
A comprehensive dataset of China's ultrabasic/basic magmatic mining sites/polygons was offered, including 1233 mining sites covering approximately 322.96 km2.
The temporal expansion of ultrabasic/basic magmatic mine areas largely resulted from the steel ore excavation.
The complexity of the mine area patch implicates the mining stage. The lower and larger complexity indexes represent early/artisanal/small-scale and large-scale mining, respectively.
03
通讯作者简介:
唐亮
唐亮,成都理工大学地球与行星科学学院地球化学系讲师、硕士生导师。2010年在成都理工大学获得地质学学士学位;2013年在中国科学院大学获得矿物、岩石学和矿床学硕士学位;2017年在四川大学获得土木工程博士学位。研究兴趣包括全球范围的矿区数据集、采矿污染和土壤地球化学等。
第一作者简介:
李贺领,男,2023年毕业于成都理工大学地质工程专业,获硕士学历,现工作于中钢矿业开发有限公司,主要从事金属矿山开采等相关工作。
团队介绍:
地表关键介质研究团队:该团队负责人为杨放研究员和唐亮博士,研究团队成员来自成都理工大学地球与行星科学学院博、硕士研究生。该课题组主要研究方向:
(1)矿山环境:主要关注钒钛磁铁矿、铅锌矿、硫铁矿、铜矿开发过程的环境问题,环境问题演化规律,环境问题处置等。
(2)采矿场地数据库:以地学大数据方法论为基础,建立全球采矿场地数据库。
(3)土壤地球化学、地统计学:开展四川省天府新区、泸州、宜宾、广元市部分污染场地土壤地球化学研究。
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