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Assessment of Metals Loading in an Acid Mine Drainage Watershed

机译:酸性矿山排水流域中金属负载的评估

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摘要

Watershed-scale modeling can be useful in identifying the main environmental factors and the physical mechanisms responsible for acid mine drainage (AMD) formation, attenuation, and impacts. Since flow rates and water quality of the AMD and receiving streams are related to the rainfall-runoff relationship and associated contaminant dissolution, we thought that hydrologic analysis of the mined area and surrounding drainage basin should be the starting point in documenting the source and fate of AMD contaminants. Further modeling of AMD pollutants could then be performed in terms of metal concentrations and loading at the watershed scale. In this study, monitoring was conducted in the Geopung mine watershed; the watershed analysis risk management framework (WARMF) model was used to evaluate the effect of AMD contributions to downstream metal concentrations. The hydrologic model of the basin was calibrated and verified with rainfall and streamflow data, and the water quality model was calibrated for the dissolved concentrations of metals (Cd, Cu, Zn, and Pb), using discharge data gathered in 2009. There was a strong correlation (r = 0.93) between the observed and simulated runoff values plus high Nash-Sutcliffe model efficiency (NSE = 0.89) and low average percent difference between predicted and measured values (%Diff = 0.46). Subsequent model validation using data gathered in 2010 also showed good agreement (%Diff = 9.76; NSE = 0.77; r = 0.91) between the observed and simulated values. For the metals, the model was calibrated using data from 2010; the correlation between the observed and simulated values was quite good (r = 0.80-0.41).
机译:分水岭规模模型可用于识别主要的环境因素以及造成酸性矿山排水(AMD)形成,衰减和影响的物理机制。由于AMD和接收流的流速和水质与降雨-径流关系和相关的污染物溶出有关,因此我们认为,对矿区和周围流域的水文分析应作为记录水的来源和命运的起点。 AMD污染物。然后可以根据分水岭规模的金属浓度和负荷对AMD污染物进行进一步的建模。在这项研究中,对Geopung矿区进行了监测。分水岭分析风险管理框架(WARMF)模型用于评估AMD对下游金属浓度的影响。利用2009年收集的排放数据,对流域的水文模型进行了校准并通过降雨和流量数据进行了验证,并针对金属(Cd,Cu,Zn和Pb)的溶解浓度对水质模型进行了校准。观测和模拟的径流值之间具有很强的相关性(r = 0.93),此外还有较高的Nash-Sutcliffe模型效率(NSE = 0.89)和较低的预测值与实测值之间的平均百分比差异(%Diff = 0.46)。随后使用2010年收集的数据进行的模型验证也表明,观测值与模拟值之间具有很好的一致性(%Diff = 9.76; NSE = 0.77; r = 0.91)。对于金属,使用2010年的数据对模型进行了校准。观测值与模拟值之间的相关性很好(r = 0.80-0.41)。

著录项

  • 来源
    《Mine water and the environment》 |2016年第1期|44-54|共11页
  • 作者单位

    Korea Univ, Dept Environm Engn, Sejong 339700, South Korea;

    Korea Univ, Program Environm Technol & Policy, Sejong 339700, South Korea;

    Korea Univ, Program Environm Technol & Policy, Sejong 339700, South Korea;

    Korea Univ, Program Environm Technol & Policy, Sejong 339700, South Korea;

    Hoseo Univ, Dept Civil Engn, Cheonan 330996, South Korea;

    Korea Univ, Dept Environm Engn, Sejong 339700, South Korea|Korea Univ, Program Environm Technol & Policy, Sejong 339700, South Korea;

    Korea Univ, Dept Environm Engn, Sejong 339700, South Korea|Korea Univ, Program Environm Technol & Policy, Sejong 339700, South Korea;

    Woosong Univ, Dept Railroad Civil & Environm Engn, Daejeon 300718, South Korea;

    Korea Univ, Dept Environm Engn, Sejong 339700, South Korea|Korea Univ, Program Environm Technol & Policy, Sejong 339700, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hydrology; Metals; WARMF model;

    机译:水文;金属;WARMF模型;
  • 入库时间 2022-08-17 13:50:06

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