Department of Civil and Environmental Engineering, Southern Methodist University, PO Box 750340, Dallas, TX 75275, USA.
Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Campus Box 7908, Raleigh, NC 27695, USA.
Waste Manag. 2019 May 15;91:120-127. doi: 10.1016/j.wasman.2019.05.004. Epub 2019 May 7.
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, m CH Mg wet waste) and the first-order decay rate constant (k, yr). Default parameters in LandGEM (L = 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 Ls between 55 and 160. The best fit k was greater than the U.S. EPA's default parameter of 0.04 yr at 14 of the 21 landfills studied. Surprisingly, the best fit k was often observed at L values greater than 100 m CH Mg 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 captures many factors and that the data may be most useful for site specific analysis as opposed to general landfill predictions.
实际上,美国垃圾填埋场的甲烷生成通常通过使用美国环保署的垃圾填埋气排放模型(LandGEM)来预测,该模型包括两个参数,甲烷生成潜力(L,m CH Mg 湿废物)和一阶衰减速率常数(k,yr)。LandGEM 中的默认参数(L=100,k=0.04)是使用反映 20 世纪 90 年代垃圾填埋场管理实践的数据确定的。在本研究中,使用来自 21 个美国垃圾填埋场的甲烷收集数据,通过考虑随时间变化的气体收集效率对实测甲烷收集数据进行反演建模,来估计最佳拟合 k。在 55 到 160 之间的一系列 Ls 范围内确定了最佳 k 值。在所研究的 21 个垃圾填埋场中的 14 个,最佳拟合 k 大于美国环保署的默认参数 0.04 yr。令人惊讶的是,在大于 100 m CH Mg 湿废物的最佳拟合 L 值处经常观察到最佳拟合 k,这再次是美国环保署的默认值。结果表明,k 的最佳估计值存在广泛的变化。虽然接收更多水分的垃圾填埋场或垃圾填埋场部分往往表现出较高的衰减率,但结果并不一致。一些垃圾填埋场表现出较高的衰减率,尽管数据表明它们相对干燥,而一些湿垃圾填埋场则表现出较低的衰减率。结果表明,L 捕获了许多因素,并且数据可能最适合特定于站点的分析,而不是一般的垃圾填埋场预测。