内蒙古某边采边复煤矿用地面积分析
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中国国土资源航空物探遥感中心

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TD

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中国地质调查局项目:全国2017年新增的矿山环境治理状况监测(121201003000172718)、全国矿产资源开发环境遥感监测(121201003000172705)。


ANALYSIS ON THE LAND AREA OF A REHABILITATE WHILE DAMAGE COAL MINE IN INNER MONGOLIA
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China Aero Geophysical Survey and Remote Sensing Center for Land and Resources

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    摘要:

    本文旨在探讨新增矿山环境恢复治理面积的遥感调查方法,为深层次落实绿色发展指数考核指标探索技术可行性。选择内蒙古某露天开采煤矿作为研究区,采用了多个年份的遥感数据,开展遥感调查,在该矿区内分别圈定了不同年份的采场、活动开采面、排土场、矿山建筑、中转场地以及恢复治理区。调查结果表明,该矿山是边采边复矿山,矿山环境恢复治理面积呈上升趋势,但损毁面积增长的幅度更大,尤其是近几年,与绿色发展指数密切相关的新增矿山环境恢复治理面积都是负数,表明该矿山需要进一步加大矿山环境恢复治理力度。本文介绍的新增矿山环境恢复治理面积遥感调查方法可为国家绿色发展指数统计服务。同时遥感技术的客观、宏观、快速、高效的优势,能够不受人为因素干扰,在全国层面开展定期大区域调查与监测,可为国家绿色发展指数统计提供客观基础数据。

    Abstract:

    This article is order to explore the remote sensing survey method for the area of newly added mine environment rehabilitation, exploring the technical feasibility for deeply implementing the assessment index of green development index. An open pit coal mine in Inner Mongolia was selected as the research area. Multi-year remote sensing data were used for remote sensing investigation. Open pits, active mining surfaces, dump sites, mining buildings, transit sites and rehabilitation areas in different years have been delineated respectively, in this mining area. The investigation results show that: this mine is a rehabilitate while damage coal mine, the area of mine environment rehabilitation is on the rise, but the increase of damaged area is greater. Especially in recent years, all the area of newly-added mine environment rehabilitation, which closely related to green development index, are negative. It shows that this coal mine needs to further strengthen the mine environment rehabilitate efforts. The new remote sensing survey method introduced in this article can serve the national green development index statistics. Objective, macro, fast and efficient are the advantages of remote sensing technology, not be disturbed by human factors, can conduct regular regional surveys and monitoring at the national level, can provide objective basic data for national green development index statistics.

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  • 收稿日期:2018-11-28
  • 最后修改日期:2018-11-28
  • 录用日期:2018-12-12
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