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
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Abstract

The spatiotemporal extension/expansion of mine areas is affected by multiple factors. So far, very little has been done to examine the interaction between mine areas and political or economic realities. The (ultra-)mafic magmatic mines in China played a specific role in supporting national development and providing an ideal research subject for monitoring their interrelationship. In this study, remote sensing and mining-related GIS data were used to identify and analyze 1233 (ultra-)mafic magmatic mine area polygons in China, which covered approximately 322.96 km2 of land and included a V–Ti–Fe mine, a copper–nickel mine, a chromite mine, an asbestos mine, and a diamond mine. It was found that (1) the areal expansion of mines is significantly related to the mine types, perimeter, topography, and population density. (2) The mine area variation also reflects market and policy realities. The temporal expansion of the mine area from 2010 to 2020 followed an S-shaped pattern (with the turning point occurring in 2014), closely related to iron overcapacity and tightened mining policies. (3) The complexity (D) of the mine area may reflect mine design and excavation practices. To be specific, lower D indicates early-stage or artisanal/small-scale mining, whereas higher D represents large-scale mining. This study demonstrates that the detailed mapping of mine land can serve as an indicator to implement mining-related market and policy changes. The (ultra-)mafic mines area data set can be accessed at https://zenodo.org/record/7636616#.Y-p0uXaZOa0.

Abstract Image

超)岩浆岩矿区时空分布图:中国经济和政治现实的影响
矿区的时空扩展受多种因素的影响。迄今为止,在审查雷区与政治或经济现实之间的相互作用方面所做的工作很少。中国的(超)镁质岩浆矿在支持国家发展方面发挥了特殊作用,并为监测它们之间的相互关系提供了理想的研究对象。在这项研究中,利用遥感和采矿相关的GIS数据对中国1233个(超)基性岩浆矿区多边形进行了识别和分析,这些多边形覆盖了大约322.96 km2的土地,包括一个V-Ti-Fe矿、一个铜镍矿、一个铬铁矿、一个石棉矿和一个钻石矿。结果表明:(1)矿山面积扩张与矿山类型、周长、地形、人口密度显著相关;(2)矿区的变化也反映了市场和政策的现实。2010 - 2020年矿区面积的时间扩张呈S型(拐点出现在2014年),与铁产能过剩和矿业政策收紧密切相关。(3)矿区的复杂性(D)可以反映矿山设计和开挖实践。具体来说,较低的D表示早期阶段或手工/小规模采矿,而较高的D表示大规模采矿。该研究表明,详细的矿山土地测绘可以作为实施与矿业相关的市场和政策变化的指标。(超)基色矿区数据集可在https://zenodo.org/record/7636616#.Y-p0uXaZOa0上访问。
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