Comparing estimates of fugitive landfill methane emissions using inverse plume modeling obtained with Surface Emission Monitoring (SEM), Drone Emission Monitoring (DEM), and Downwind Plume Emission Monitoring (DWPEM)
| Autor: | Nizar Bel Hadj Ali, Tarek Abichou, Roger B. Green |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Methane emissions
Air Pollutants 010504 meteorology & atmospheric sciences Waste management Surface emission Models Theoretical 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Drone Plume Waste Disposal Facilities Landfill gas Waste Disposal Facility Greenhouse gas Municipal solid waste landfill Environmental science Methane Waste Management and Disposal Environmental Monitoring 0105 earth and related environmental sciences |
| Zdroj: | Journal of the Air & Waste Management Association. 70:410-424 |
| ISSN: | 2162-2906 1096-2247 |
| DOI: | 10.1080/10962247.2020.1728423 |
| Popis: | As part of the global effort to quantify and manage anthropogenic greenhouse gas emissions, there is considerable interest in quantifying methane emissions in municipal solid waste landfills. A variety of analytical and experimental methods are currently in use for this task. In this paper, an optimization-based estimation method is employed to assess fugitive landfill methane emissions. The method combines inverse plume modeling with ambient air methane concentration measurements. Three different measurement approaches are tested and compared. The method is combined with surface emission monitoring (SEM), above ground drone emission monitoring (DEM), and downwind plume emission monitoring (DWPEM). The methodology is first trialed and validated using synthetic datasets in a hand-generated case study. A field study is also presented where SEM, DEM and DWPEM are tested and compared. Methane flux during two-days measurement campaign was estimated to be between 228 and 350 g/s depending on the type of measurements used. Compared to SEM, using unmanned aerial systems (UAS) allows for a rapid and comprehensive coverage of the site. However, as showed through this work, advancement of DEM-based methane sampling is governed by the advances that could be made in UAS-compatible measurement instrumentations. Downwind plume emission monitoring led to a smaller estimated flux compared with SEM and DEM without information about positions of major leak points in the landfill. Even though, the method is simple and rapid for landfill methane screening. Finally, the optimization-based methodology originally developed for SEM, shows promising results when it is combined with the drone-based collected data and downwind concentration measurements. The studied cases also discovered the limitations of the studied sampling strategies which is exploited to identify improvement strategies and recommendations for a more efficient assessment of fugitive landfill methane emissions. |
| Databáze: | OpenAIRE |
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