Long-Term Solutions to Acid Producing Coal Mine Spoils Using Industrial Wastes

利用工业废物解决煤矿产酸弃渣问题的长期解决方案

基本信息

  • 批准号:
    1236403
  • 负责人:
  • 金额:
    $ 33.37万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-15 至 2018-08-31
  • 项目状态:
    已结题

项目摘要

1236403 (Liang). Around the world, mining exposes fresh mineral surfaces that have never been in contact with the atmosphere and often creates oxidation enabled pollution. Historically, the mining industry has utilized the target mineral and dumped materials deemed not useful as ?refuse piles? that often became small mountains that produce acid discharges. These discharges are commonly manifested in the Appalachian region of the USA as acid mine runoff that has become prevalent since coal mining became a major industry over 100 years ago. Not only are these acid discharges environmentally damaging to watersheds, the coal refuse piles themselves are barren lands that are virtually useless, as game, forest, or agricultural lands. Such legacy mining issues are a blight and have one of the most detrimental environmental impacts in the Appalachian region where metal compounds from the refuse piles, including ferric and ferrous iron, aluminum, and manganese (sulfate and chloride as the most common counter-ions), are continuously leached from these coal refuse piles and/or abandoned coal mines causing the acid mine drainage (AMD). The produced AMD deteriorates water quality throughout a watershed by decreasing the pH in soil pore water and river flow. AMD has not only been a significant environmental problem in the coal production Appalachian regions in the US, but also will certainly become a significant and harmful environmental problem in the coal production regions around the world as coal is used as one of the most inexpensive forms of energy to power the ever increasing world population. Therefore, it is necessary to have an economically sound and technically effective long-lasting approach to deal with the AMD problem. This research project addresses this need using an industrial ecology based approach to mix the surface materials of these refuse piles with brown mud, a residual of Bauxite processing from aluminum manufacturing. In this project, an objective is to determine the longevity and permanence of this industrial ecology-based remediation approach, as many previous remediation efforts fail over time due to eventual loss of alkaline material to neutralize the ever ongoing acid production via iron oxidation. Using such a combined approach to investigate the long-term effectiveness of the new industrial ecology-based remediation approach is critically important because this new technology has the potential to be installed at a mass scale with costs that may be minimal in comparison to the widespread installation of active treatment systems. Therefore, at the watershed scale, this type of technology may lead to a paradigm shift in AMD remediation strategy.
1236403(梁)。在世界各地,采矿暴露出从未与大气接触过的新鲜矿物表面,往往会造成氧化污染。从历史上看,采矿业一直将被认为无用的目标矿物和倾倒材料用作垃圾堆?这些地方往往会变成产生酸排放的小山。这些排放在美国阿巴拉契亚地区通常表现为酸性矿井径流,自100多年前煤炭开采成为主要工业以来,这种径流已经变得普遍。这些酸排放不仅破坏了流域的环境,而且煤渣堆本身也是贫瘠的土地,几乎毫无用处,比如猎物、森林或农田。这类遗留的采矿问题是阿巴拉契亚地区最有害的环境影响之一,在该地区,来自垃圾堆的金属化合物,包括铁和亚铁、铝和锰(最常见的反离子是硫酸盐和氯化物),不断从这些煤渣堆和/或废弃煤矿中浸出,导致酸性矿井排水(AMD)。产生的AMD会降低土壤孔隙水和河流的pH值,从而使整个流域的水质恶化。AMD不仅是美国阿巴拉契亚地区煤炭生产的一个严重的环境问题,而且肯定会成为世界各地煤炭生产地区的一个严重和有害的环境问题,因为煤炭被用作最便宜的能源之一,为不断增长的世界人口提供动力。因此,有必要有一个经济上合理和技术上有效的长效方法来处理AMD问题。这项研究项目利用基于工业生态的方法,将这些垃圾堆的表面材料与褐泥混合在一起,褐泥是铝业铝土矿加工的残留物,以满足这一需求。在这个项目中,一个目标是确定这种基于工业生态的修复方法的寿命和持久性,因为许多以前的修复努力随着时间的推移而失败,因为最终会失去碱性材料,以中和通过铁氧化产生的酸。使用这种综合方法来调查新的基于工业生态的补救方法的长期有效性至关重要,因为这项新技术有可能大规模安装,与广泛安装主动处理系统相比,成本可能最低。因此,在分水岭尺度上,这种类型的技术可能会导致AMD补救战略的范式转变。

项目成果

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Xu Liang其他文献

A conceptual framework for mixing structures in individual aerosol particles
单个气溶胶颗粒混合结构的概念框架
  • DOI:
    10.1002/2016jd025252
  • 发表时间:
    2016-11
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Li Weijun;Sun Jiaxing;Xu Liang;Shi Zongbo;Riemer Nicole;Sun Yele;Fu Pingqing;Zhang Jianchao;Lin Yangting;Wang Xinfeng;Shao Longyi;Chen Jianmin;Zhang Xiaoye;Wang Zifa;Wang Wenxing
  • 通讯作者:
    Wang Wenxing
Dual-comb based time-stretch optical coherence tomography for large and segmental imaging depth
基于双梳的时间拉伸光学相干断层扫描,用于大分段成像深度
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Xu Liang;Zhang Lei;Wang Kun;Liu Chen;Zhang Chi;Zhang Xinliang
  • 通讯作者:
    Zhang Xinliang
In Situ Observations of Light-Absorbing Carbonaceous Aerosols at Himalaya: Analysis of the South Asian Sources and Trans-Himalayan Valleys Transport Pathways
喜马拉雅地区吸光碳质气溶胶的现场观测:南亚来源和跨喜马拉雅山谷传输路径的分析
  • DOI:
    10.1029/2020jd032615
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Yuan Qi;Wan Xin;Cong Zhiyuan;Li Mengmeng;Liu Lei;Shu Shoujuan;Liu Rui;Xu Liang;Zhang Jian;Ding Xiaokun;Li Weijun
  • 通讯作者:
    Li Weijun
Parameters estimation of sinusoidal frequency modulation signal with application in synthetic aperture radar imaging
正弦调频信号参数估计及其在合成孔径雷达成像中的应用
  • DOI:
    10.1117/1.jrs.10.020502
  • 发表时间:
    2016-04
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Wang Yong;Wang Zhaofa;Zhao Bin;Xu Liang
  • 通讯作者:
    Xu Liang
A Comprehensive Method for Subsidence Prediction on Two-Seam Longwall Mining
二煤层长壁开采沉陷综合预测方法
  • DOI:
    10.3390/en12163139
  • 发表时间:
    2019-08
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Zhang Bin;Ye Jiacheng;Zhang Zhongjian;Xu Liang;Xu Nengxiong
  • 通讯作者:
    Xu Nengxiong

Xu Liang的其他文献

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{{ truncateString('Xu Liang', 18)}}的其他基金

Collaborative Research: Frameworks: Building a Collaboration Infrastructure: CyberWater2 -- A Sustainable Data/Model Integration Framework
协作研究:框架:构建协作基础设施:Cyber​​Water2——可持续数据/模型集成框架
  • 批准号:
    2209833
  • 财政年份:
    2023
  • 资助金额:
    $ 33.37万
  • 项目类别:
    Standard Grant
Framework: Software: Collaborative Research: CyberWater--An open and sustainable framework for diverse data and model integration with provenance and access to HPC
框架:软件:协作研究:Cyber​​Water——一个开放且可持续的框架,用于将多种数据和模型集成,并提供 HPC 的来源和访问权限
  • 批准号:
    1835785
  • 财政年份:
    2019
  • 资助金额:
    $ 33.37万
  • 项目类别:
    Standard Grant
NeTS: Small: Collaborative Research: Compressed Network Tomography and Data Collection in Large-Scale Wireless Sensor Networking
NeTS:小型:协作研究:大规模无线传感器网络中的压缩网络断层扫描和数据收集
  • 批准号:
    1319331
  • 财政年份:
    2013
  • 资助金额:
    $ 33.37万
  • 项目类别:
    Standard Grant
Collaborative Research: From Data to Users: A Prototype Open Modeling Framework
协作研究:从数据到用户:原型开放建模框架
  • 批准号:
    1245067
  • 财政年份:
    2012
  • 资助金额:
    $ 33.37万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Network Inference and Data Collection Based on Compressed Sensing in Large-Scale Wireless Sensor Networking
EAGER:协作研究:大规模无线传感器网络中基于压缩感知的网络推理和数据收集
  • 批准号:
    1251995
  • 财政年份:
    2012
  • 资助金额:
    $ 33.37万
  • 项目类别:
    Standard Grant
NeTS-NOSS: Collaborative Research: Investigating Temporal Correlation for Energy Efficient and Lossless Communication in Wireless Sensor Networks
NetS-NOSS:协作研究:研究无线传感器网络中节能和无损通信的时间相关性
  • 批准号:
    0721474
  • 财政年份:
    2007
  • 资助金额:
    $ 33.37万
  • 项目类别:
    Continuing Grant

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