Centre for Atmospheric Science, Dept. of Chemistry, University of Cambridge, United Kingdom.
Centre for Atmospheric Science, Dept. of Chemistry, University of Cambridge, United Kingdom.
Waste Manag. 2018 Mar;73:210-219. doi: 10.1016/j.wasman.2016.12.006. Epub 2016 Dec 18.
The chemical breakdown of organic matter in landfills represents a significant source of methane gas (CH). Current estimates suggest that landfills are responsible for between 3% and 19% of global anthropogenic emissions. The net CH emissions resulting from biogeochemical processes and their modulation by microbes in landfills are poorly constrained by imprecise knowledge of environmental constraints. The uncertainty in absolute CH emissions from landfills is therefore considerable. This study investigates a new method to estimate the temporal variability of CH emissions using meteorological and CH concentration measurements downwind of a landfill site in Suffolk, UK from July to September 2014, taking advantage of the statistics that such a measurement approach offers versus shorter-term, but more complex and instantaneously accurate, flux snapshots. Methane emissions were calculated from CH concentrations measured 700m from the perimeter of the landfill with observed concentrations ranging from background to 46.4ppm. Using an atmospheric dispersion model, we estimate a mean emission flux of 709μgms over this period, with a maximum value of 6.21mgms, reflecting the wide natural variability in biogeochemical and other environmental controls on net site emission. The emissions calculated suggest that meteorological conditions have an influence on the magnitude of CH emissions. We also investigate the factors responsible for the large variability observed in the estimated CH emissions, and suggest that the largest component arises from uncertainty in the spatial distribution of CH emissions within the landfill area. The results determined using the low-maintenance approach discussed in this paper suggest that a network of cheaper, less precise CH sensors could be used to measure a continuous CH emission time series from a landfill site, something that is not practical using far-field approaches such as tracer release methods. Even though there are limitations to the approach described here, this easy, low-maintenance, low-cost method could be used by landfill operators to estimate time-averaged CH emissions and their impact downwind by simultaneously monitoring plume advection and CH concentrations.
垃圾填埋场中有机物的化学分解是甲烷(CH)气体的一个重要来源。目前的估计表明,垃圾填埋场占全球人为排放的 3%至 19%。由于生物地球化学过程以及微生物对其的调节,垃圾填埋场中净 CH 排放受到环境约束的精确知识的限制,其结果是不确定的。因此,垃圾填埋场的 CH 绝对排放量存在很大的不确定性。本研究利用英国萨福克郡一个垃圾填埋场下风的气象和 CH 浓度测量数据,调查了一种新的方法来估计 2014 年 7 月至 9 月期间 CH 排放的时间变化,这种方法利用了这种测量方法相对于更短期、但更复杂和即时准确的通量快照的优势。在距离垃圾填埋场边界 700 米处测量到的 CH 浓度计算出 CH 排放量,观测到的浓度范围从背景值到 46.4ppm。利用大气扩散模型,我们估计这段时间的平均排放通量为 709μgms,最大通量为 6.21mgms,反映了生物地球化学和其他环境控制因素对净站点排放的广泛自然变化。计算出的排放量表明,气象条件对 CH 排放量的大小有影响。我们还研究了导致估计的 CH 排放量出现大的变化的因素,并提出最大的因素是垃圾填埋场内 CH 排放量的空间分布的不确定性。本文讨论的低维护方法确定的结果表明,可以使用成本较低、精度较低的 CH 传感器网络来测量垃圾填埋场的连续 CH 排放时间序列,而使用示踪剂释放等远场方法则不切实际。尽管这里描述的方法存在限制,但这种简单、低维护、低成本的方法可以被垃圾填埋场运营商用来估计时间平均的 CH 排放及其对下风的影响,同时监测羽流平流和 CH 浓度。