Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations
Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations
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DOI：
10.1088/1748-9326/ab7b99
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发表时间：
2020-05-01
影响因子：
6.7
通讯作者：
Miller, Charles E.
中科院分区：
文献类型：
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作者：
Cusworth, Daniel H.;Duren, Riley M.;Miller, Charles E.
固体废物管理是最大的人为甲烷排放源之一。然而，由于各种特定场地的因素，有助于填埋气体的产生和有效的捕获，精确的量化填埋和堆肥排放仍然很困难。遥感是量化废物管理设施的工艺排放量的一种途径。加州甲烷调查在2016-2018年期间反复使用下一代机载可见光/红外成像光谱仪（AVIRIS-NG）飞越270个垃圾填埋场和166个有机废物设施，以量化它们对全州甲烷预算的贡献。我们使用该活动中具有代表性的甲烷检索来呈现三个具体的发现，其中遥感能够更好地监测垃圾填埋场和堆肥甲烷：（1）难以通过现场监测或填埋场模型捕获的活性表面填埋场强点源排放的量化，（2）填埋场基础设施变化导致的排放（设计、施工和运营），以及（3）两种有机废物管理方法（堆肥和消化）的意外大量排放，这些方法最初旨在帮助减少固体废物排放。我们的研究结果表明，遥感排放量估计揭示的过程是难以捕捉的沼气生成模型。此外，我们发现，航空遥感提供了一个有效的途径来研究随时间变化的动态垃圾填埋场。这种能力将进一步提高未来的星载成像光谱仪将在2020年代发射。
Solid waste management represents one of the largest anthropogenic methane emission sources. However, precise quantification of landfill and composting emissions remains difficult due to variety of site-specific factors that contribute to landfill gas generation and effective capture. Remote sensing is an avenue to quantify process-level emissions from waste management facilities. The California Methane Survey flew the Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG) over 270 landfills and 166 organic waste facilities repeatedly during 2016-2018 to quantify their contribution to the statewide methane budget. We use representative methane retrievals from this campaign to present three specific findings where remote sensing enabled better landfill and composting methane monitoring: (1) Quantification of strong point source emissions from the active face landfills that are difficult to capture by in situ monitoring or landfill models, (2) emissions that result from changes in landfill infrastructure (design, construction, and operations), and (3) unexpected large emissions from two organic waste management methods (composting and digesting) that were originally intended to help mitigate solid waste emissions. Our results show that remotely-sensed emission estimates reveal processes that are difficult to capture in biogas generation models. Furthermore, we find that airborne remote sensing provides an effective avenue to study the temporally changing dynamics of landfills. This capability will be further improved with future spaceborne imaging spectrometers set to launch in the 2020s.