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Methane and non-methane organic compounds oxidation in landfill bio-covers.

机译:垃圾填埋场生物覆盖物中的甲烷和非甲烷有机化合物氧化。

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摘要

One critical source, which adds to the anthropogenic methane (CH 4) emissions, is solid waste disposal. The biogas generated from biodegradation of solid waste in landfills, known as landfill gas (LFG), consists of CH 4, carbon dioxide (CO2), plus trace amounts of non-methane organic compounds (NMOCs). Most of the existing landfills around the world do not have LFG collection setups, and the emissions are just released into the atmosphere. Oxidation of CH4 and NMOCs by methanotrophic bacteria within the landfill cover (LFC) provides a sink for these harmful fugitive emissions. The scope of this research was to carry out a comprehensive study on the biological oxidation of CH4 and NMOCs in the LFC, under diverse operating conditions. To achieve this goal, various parameters affecting the oxidation process, including cover medium, temperature, saturation limit and nutrients addition, were studied. Statistical analysis and modeling were carried out to estimate the interactions between several parameters under investigation, and to draw conclusions about the combined effects of these parameters on the LFC system. The effects of NMOCs on CH4 oxidation capacity of the LFC were examined in batch scale and continuous flow column experiments. Additionally, the co-metabolic abilities of methanotrophs were explored and the biological bio-degradation rates on NMOCs were estimated under different temperature and moisture content levels. Artificial neural networks (ANN) modeling technique was used to describe the complex input/output relationships and to simulate the CH4 oxidation rates in the presence of NMOCs under diverse conditions that are representative of LFC system.
机译:固体废物处理是增加人为甲烷(CH 4)排放量的一个关键来源。垃圾填埋场中固体废弃物的生物降解所产生的沼气由CH 4,二氧化碳(CO2)以及痕量的非甲烷有机化合物(NMOC)组成。世界上大多数现有的垃圾填埋场都没有LFG收集装置,而排放物只是释放到大气中。垃圾掩埋场(LFC)中的甲烷营养细菌对CH4和NMOC的氧化作用为这些有害的逃逸排放提供了一个汇。这项研究的范围是对LFC中CH4和NMOC在不同操作条件下的生物氧化进行全面研究。为了达到这个目标,研究了影响氧化过程的各种参数,包括覆盖介质,温度,饱和极限和营养添加。进行了统计分析和建模,以估计正在研究的几个参数之间的相互作用,并得出关于这些参数对LFC系统的综合影响的结论。 NMOCs对LFC的CH4氧化能力的影响通过分批规模和连续流色谱柱实验进行了检验。此外,还研究了甲烷营养菌的代谢能力,并估算了在不同温度和水分含量下,NMOCs的生物降解率。人工神经网络(ANN)建模技术用于描述复杂的输入/输出关系,并在代表LFC系统的各种条件下,在存在NMOC的情况下模拟CH4的氧化速率。

著录项

  • 作者

    Albanna, Muna.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 326 p.
  • 总页数 326
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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