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Comparison of first-order-decay modeled and actual field measured municipal solid waste landfill methane data

机译:一阶衰减模型与实地测量的城市固体垃圾填埋场甲烷数据的比较

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摘要

The first-order decay (FOD) model is widely used to estimate landfill gas generation for emissions inventories, life cycle assessments, and regulation. The FOD model has inherent uncertainty due to underlying uncertainty in model parameters and a lack of opportunities to validate it with complete field-scale landfill data sets. The objectives of this paper were to estimate methane generation, fugitive methane emissions, and aggregated collection efficiency for landfills through a mass balance approach using the FOD model for gas generation coupled with literature values for cover-specific collection efficiency and methane oxidation. This study is unique and valuable because actual field data were used in comparison with modeled data. The magnitude and variation of emissions were estimated for three landfills using site-specific model parameters and gas collection data, and compared to vertical radial plume mapping emissions measurements. For the three landfills, the modeling approach slightly under-predicted measured emissions and over-estimated aggregated collection efficiency, but the two approaches yielded statistically equivalent uncertainties expressed as coefficients of variation. Sources of uncertainty include challenges in large-scale field measurement of emissions and spatial and temporal fluctuations in methane flow balance components (generated, collected, oxidized, and emitted methane). Additional publication of sets of field-scale measurement data and methane flow balance components will reduce the uncertainty in future estimates of fugitive emissions.
机译:一阶衰减(FOD)模型广泛用于估算排放清单,生命周期评估和法规的垃圾填埋气产生量。 FOD模型具有固有的不确定性,这是由于模型参数存在潜在的不确定性,并且缺乏机会使用完整的现场规模的垃圾填埋场数据集对其进行验证。本文的目的是通过质量平衡方法,使用气体产生的FOD模型,结合针对特定覆盖物的收集效率和甲烷氧化的文献值,来估计垃圾填埋场的甲烷产生,短时甲烷排放和总收集效率。这项研究是独特且有价值的,因为将实际田间数据与建模数据进行了比较。使用特定地点的模型参数和气体收集数据估算了三个垃圾填埋场的排放量和变化,并与垂直放射状羽状图排放量测量结果进行了比较。对于这三个垃圾填埋场,建模方法稍微低估了测得的排放量,并高估了集合收集效率,但是这两种方法产生了统计上等效的不确定性,表示为变异系数。不确定性的来源包括在排放的大规模现场测量中的挑战以及甲烷流量平衡成分(生成,收集,氧化和排放的甲烷)的时空波动。额外发布一组现场规模的测量数据和甲烷流量平衡组成部分将减少未来逃逸性排放估算中的不确定性。

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