...
首页> 外文期刊>Applied Geochemistry: Journal of the International Association of Geochemistry and Cosmochemistry >Assessing mine drainage pH from the color and spectral reflectance of chemical precipitates
【24h】

Assessing mine drainage pH from the color and spectral reflectance of chemical precipitates

机译:根据化学沉淀物的颜色和光谱反射率评估矿井排水pH

获取原文
获取原文并翻译 | 示例
           

摘要

The pH of mine impacted waters was estimated from the spectral reflectance of resident sediments composed mostly of chemical precipitates. Mine drainage sediments were collected from sites in the Anthracite Region of eastern Pennsylvania, representing acid to near neutral pH. Sediments occurring in acidic waters contained primarily schwertmannite and goethite while near neutral waters produced ferrihydrite. The minerals comprising the sediments occurring at each pH mode were spectrally separable. Spectral angle difference mapping was used to correlate sediment color with stream water pH (r(2)=0.76). Band-center and band-depth analysis of spectral absorption features were also used to discriminate ferrihydrite and goethite and/or schwertmannite by analyzing the T-4(1)<--(6)A(1) crystal field transition (9001000 nm). The presence of these minerals accurately predicted stream water pH (r(2)=0.87) and provided a qualitative estimate of dissolved SO4 concentrations. Spectral analysis results were used to analyze airborne digital multispectral video (DMSV) imagery for several sites in the region. The high spatial resolution of the DMSV sensor allowed for precise mapping of the mine drainage sediments. The results from this study indicate that airborne and space-borne imaging spectrometers may be used to accurately classify streams impacted by acid vs. neutral-to-alkaline mine drainage after appropriate spectral libraries are developed. Published by Elsevier Science Ltd. [References: 39]
机译:根据主要由化学沉淀物组成的常驻沉积物的光谱反射率,估算受地雷影响的水的pH值。矿山排水沉积物是从宾夕法尼亚州东部无烟煤地区的地点收集的,代表着酸性至接近中性的pH。酸性水体中的沉积物主要包含schwertmannite和针铁矿,而中性水体附近则生成水铁矿。包含在每种pH模式下发生的沉积物的矿物在光谱上是可分离的。光谱角差映射用于将沉积物颜色与溪水pH值相关(r(2)= 0.76)。通过分析T-4(1)<-(6)A(1)晶体场跃迁(9001000 nm),还使用光谱吸收特征的带中心和带深度分析来区分水铁矿和针铁矿和/或schwertmannite 。这些矿物质的存在准确地预测了溪水的pH值(r(2)= 0.87),并提供了溶解SO4浓度的定性估计。光谱分析结果用于分析该地区多个站点的机载数字多光谱视频(DMSV)图像。 DMSV传感器的高空间分辨率可精确绘制矿山排水沉积物。这项研究的结果表明,在开发了合适​​的光谱库之后,可以使用机载和星载成像光谱仪对受酸与中性至碱性矿井排水影响的流进行准确分类。由Elsevier Science Ltd.发布[参考:39]。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号