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Evaluation of optimal model parameters for prediction of methane generation from selected U.S. landfills

机译:评估用于预测美国部分垃圾填埋场甲烷生成量的最佳模型参数

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摘要

In practice, methane generation at U.S. landfills is typically predicted by using the EPA's landfill Gas Emissions Model (LandGEM), which includes two parameters, the methane production potential (L-0, m(3) CH4 Mg-1 wet waste) and the first-order decay rate constant (k, yr(-1)). Default parameters in LandGEM (L-0 = 100 and k = 0.04) were determined using data that reflect landfill management practices in the 1990s. In this study, methane collection data from 21 U.S. landfills were used to estimate the best fit k by inverse modeling of measured methane collection data in consideration of a time-varying gas collection efficiency. Optimal values of k were identified at a range of L(o)s between 55 and 160. The best fit k was greater than the U.S. EPA's default parameter of 0.04 yr(-1) at 14 of the 21 landfills studied. Surprisingly, the best fit k was often observed at L-0 values greater than 100 m(3) CH4 Mg-1 wet waste which again is the U.S. EPA default. The results show that there is wide variation in the best estimate of k. While there was a tendency for landfills, or sections of landfills that received more moisture to exhibit higher decay rates, the results were not consistent. Some landfills exhibited high decay rates even though the data suggested that they were relatively dry while some wet landfills exhibited low decay rates. The results suggest that L-0 captures many factors and that the data may be most useful for site specific analysis as opposed to general landfill predictions. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在实践中,通常使用EPA的垃圾填埋气体排放模型(LandGEM)来预测美国垃圾填埋场的甲烷生成,该模型包括两个参数:甲烷生产潜力(L-0,m(3)CH4 Mg-1湿垃圾)和一阶衰减率常数(k,yr(-1))。 LandGEM中的默认参数(L-0 = 100,k = 0.04)是根据反映1990年代填埋场管理实践的数据确定的。在这项研究中,考虑到随时间变化的气体收集效率,通过对测得的甲烷收集数据进行逆向建模,使用了来自21个美国垃圾填埋场的甲烷收集数据来估算最佳拟合k。确定的k的最佳值是在55至160的L(o)范围内。在研究的21个垃圾填埋场中的14个中,最佳拟合k大于美国EPA的默认参数0.04 yr(-1)。令人惊讶的是,经常在L-0值大于100 m(3)CH4 Mg-1湿废料时观察到最佳拟合k,这也是美国EPA的默认值。结果表明,k的最佳估计值存在很大差异。虽然存在填埋场或接收更多水分的填埋场部分表现出较高衰减率的趋势,但结果并不一致。尽管数据表明垃圾填埋场相对干燥,但一些垃圾填埋场表现出较高的腐烂率,而湿润的垃圾填埋场表现出较低的腐烂率。结果表明,L-0捕获了许多因素,并且该数据对于特定地点的分析可能是最有用的,而不是一般的垃圾填埋场预测。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Waste Management》 |2019年第5期|120-127|共8页
  • 作者单位

    Southern Methodist Univ, Dept Civil & Environm Engn, POB 750340, Dallas, TX 75275 USA;

    North Carolina State Univ, Dept Civil Construct & Environm Engn, Campus Box 7908, Raleigh, NC 27695 USA|Chongqing Univ, Minist Educ, Key Lab Three Gorges Reservoir Reg Ecoenvironm, Chongqing 400044, Peoples R China;

    North Carolina State Univ, Dept Civil Construct & Environm Engn, Campus Box 7908, Raleigh, NC 27695 USA;

    North Carolina State Univ, Dept Civil Construct & Environm Engn, Campus Box 7908, Raleigh, NC 27695 USA;

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

    Landfills; Landfill gas; Methane; Gas collection efficiency; LandGEM;

    机译:垃圾填埋场;填埋气;甲烷;集气效率;LandGEM;

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