Faour Ayman A, Reinhart Debra R, You Huaxin
University of Central Florida, P.O. Box 162445, Orlando, FL 32816-2445, USA.
Waste Manag. 2007;27(7):946-53. doi: 10.1016/j.wasman.2006.05.007. Epub 2006 Jul 14.
Landfill gas collection data from wet landfill cells were analyzed and first-order gas generation model parameters were estimated for the US EPA landfill gas emissions model (LandGEM). Parameters were determined through statistical comparison of predicted and actual gas collection. The US EPA LandGEM model appeared to fit the data well, provided it is preceded by a lag phase, which on average was 1.5 years. The first-order reaction rate constant, k, and the methane generation potential, L(o), were estimated for a set of landfills with short-term waste placement and long-term gas collection data. Mean and 95% confidence parameter estimates for these data sets were found using mixed-effects model regression followed by bootstrap analysis. The mean values for the specific methane volume produced during the lag phase (V(sto)), L(o), and k were 33 m(3)/Megagrams (Mg), 76 m(3)/Mg, and 0.28 year(-1), respectively. Parameters were also estimated for three full scale wet landfills where waste was placed over many years. The k and L(o) estimated for these landfills were 0.21 year(-1), 115 m(3)/Mg, 0.11 year(-1), 95 m(3)/Mg, and 0.12 year(-1) and 87 m(3)/Mg, respectively. A group of data points from wet landfills cells with short-term data were also analyzed. A conservative set of parameter estimates was suggested based on the upper 95% confidence interval parameters as a k of 0.3 year(-1) and a L(o) of 100 m(3)/Mg if design is optimized and the lag is minimized.
分析了来自湿式垃圾填埋单元的填埋气收集数据,并估算了美国环境保护局(US EPA)填埋气排放模型(LandGEM)的一级产气模型参数。通过预测气体与实际收集气体的统计比较来确定参数。美国环境保护局的LandGEM模型似乎能很好地拟合数据,前提是在其之前有一个平均为1.5年的滞后期。针对一组具有短期垃圾填埋和长期气体收集数据的填埋场,估算了一级反应速率常数k和甲烷生成潜力L(o)。使用混合效应模型回归,随后进行自助分析,得出了这些数据集的均值和95%置信参数估计值。滞后期产生的特定甲烷体积(V(sto))、L(o)和k的均值分别为33立方米/兆克(Mg)、76立方米/Mg和0.28年(-1)。还对三个多年来填埋垃圾的全尺寸湿式填埋场的参数进行了估算。这些填埋场估算的k和L(o)分别为0.21年(-1)、115立方米/Mg,0.11年(-1)、95立方米/Mg以及0.12年(-1)和87立方米/Mg。还分析了一组来自具有短期数据的湿式垃圾填埋单元的数据点。基于95%置信区间上限参数,建议了一组保守的参数估计值:如果设计得到优化且滞后期最小化,k为0.3年(-1),L(o)为100立方米/Mg。