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Development and Optimization of an Eco-Engineered Bioreactor System to Treat Mining Influenced Waters

Development and Optimization of an Eco-Engineered Bioreactor System to Treat Mining Influenced Waters
用于处理采矿影响水域的生态工程生物反应器系统的开发和优化
批准号:
530927-2018
负责人:
Wootton, Brent
金额:
$5.46万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 2
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
After a precious metal mine closes, the mining company is responsible for the site's long-term environmental management, which includes treatment of contaminated waters. Most Canadian mines use a traditional wastewater treatment plant to treat contaminated waters. The treatment plants are costly to run, energy-intensive, and are not environmentally sustainable. The primary objective of this research study is to complete the detailed design of a natural, long-term, low-energy wastewater treatment method tailored to treat a specific former Ontario gold mine site's contaminated waters and then evaluate and optimize a larger-scale system. Once the researchers at Fleming College's Centre for Advancement of Water and Wastewater Technologies (CAWT) complete the specific design, chemistry, and calibrations required, they will install and build a system on the mine site. CAWT researchers will evaluate the system's ability to treat the mine's contaminated waters in a "real world" environment and through seasonal variations. As a result, the mining company will be able to evaluate the system over several years with a goal to replace their costly wastewater treatment plant with a full-scale sustainable alternative. This research will contribute significantly to new knowledge in the field of eco-engineered bioreactors, especially as they are used to treat mining influenced waters. It will also provide the mining company with a sustainable eco-technology that they can implement at their mine sites globally.**
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Interdisciplinary applied research project on Euglena utilized for clean-up of contaminated waters and research on potential industry utilization
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位: