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Applications of multi-season hyperspectral remote sensing for acid mine water characterization and mapping of secondary iron minerals associated with acid mine drainage.

机译:多季节高光谱遥感在酸性矿山水特征描述和与酸性矿山排水相关的次生铁矿物测绘中的应用。

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摘要

Acid mine drainage (AMD) resulting from the oxidation of sulfides in mine waste is a major environmental issue facing the mining industry today. Open pit mines, tailings ponds, ore stockpiles, and waste rock dumps can all be significant sources of pollution, primarily heavy metals. These large mining-induced footprints are often located across vast geographic expanses and are difficult to access. With the continuing advancement of imaging satellites, remote sensing may provide a useful monitoring tool for pit lake water quality and the rapid assessment of abandoned mine sites. This study explored the applications of laboratory spectroscopy and multi-season hyperspectral remote sensing for environmental monitoring of mine waste environments. Laboratory spectral experiments were first performed on acid mine waters and synthetic ferric iron solutions to identify and isolate the unique spectral properties of mine waters. These spectral characterizations were then applied to airborne hyperspectral imagery for identification of poor water quality in AMD ponds at the Leviathan Mine Superfund site, CA. Finally, imagery varying in temporal and spatial resolutions were used to identify changes in mineralogy over weathering overburden piles and on dry AMD pond liner surfaces at the Leviathan Mine. Results show the utility of hyperspectral remote sensing for monitoring a diverse range of surfaces associated with AMD.
机译:由矿山废料中的硫化物氧化产生的酸性矿山排水(AMD)是当今采矿业面临的主要环境问题。露天矿,尾矿池,矿石堆和废石场都是重要的污染源,主要是重金属。这些巨大的采矿导致的足迹通常分布在广阔的地理区域中,并且难以进入。随着成像卫星的不断发展,遥感可以为坑湖水质和对废弃矿井的快速评估提供有用的监测工具。这项研究探索了实验室光谱学和多季节高光谱遥感在矿山废物环境的环境监测中的应用。首先在酸性矿井水和合成铁溶液上进行实验室光谱实验,以识别和分离矿井水的独特光谱特性。然后,将这些光谱表征应用于机载高光谱成像,以识别加利福尼亚Leviathan矿场超级基金站点的AMD池塘中不良的水质。最后,使用时空分辨率变化的图像来识别风化覆盖层桩和Leviathan矿的AMD池塘干衬表面上的矿物学变化。结果表明,高光谱遥感可用于监测与AMD相关的各种表面。

著录项

  • 作者

    Davies, Gwendolyn E.;

  • 作者单位

    University of Nevada, Reno.;

  • 授予单位 University of Nevada, Reno.;
  • 学科 Remote sensing.;Environmental science.;Mining engineering.;Geochemistry.;Geology.;Hydrologic sciences.
  • 学位 M.S.
  • 年度 2015
  • 页码 101 p.
  • 总页数 101
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:38

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