Identification and Quantification of CH 4 Emissions from Madrid Landfills using Airborne Imaging Spectrometry and Greenhouse Gas Lidar Article Swipe
Sven Krautwurst
,
C. Fruck
,
Sebastian Wolff
,
Jakob Borchardt
,
Oke Huhs
,
Konstantin Gerilowski
,
Michał Gałkowski
,
Christoph Kiemle
,
Mathieu Quatrevalet
,
Martin Wirth
,
Christian Mallaun
,
John P. Burrows
,
Christoph Gerbig
,
Andreas Fix
,
Hartmut Boesch
,
H. Bovensmann
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2024-3182
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2024-3182
Methane (CH4), alongside carbon dioxide (CO2), is a key driver of anthropogenic climate change. Reducing CH4 is crucial for short-term climate mitigation. Waste-related activities, such as landfills, are a major CH4 source, even in developed countries. Atmospheric concentration measurements using remote sensing offer a powerful way to quantify these emissions. We study waste facilities near Madrid, Spain, where satellite data indicated high CH4 emissions. For the first time, we combine passive imaging (MAMAP2DL) and active lidar (CHARM-F) remote sensing aboard the German research aircraft HALO, supported by in situ instruments, to quantify CH4 emissions. Using the CH4 column data and ECMWF-ERA5 model wind information validated by airborne measurements, we estimate landfill emissions through a cross-sectional mass balance approach. Strong emission plumes are traced up to 20 km downwind on the 4th August 2022, with the highest CH4 column anomalies observed over active landfill areas in the vicinity of Madrid, Spain. Total emissions are estimated at ~13 th-1. Single co-located plume crossings from both instruments agree well within 1.2 th-1 (or 13 %). Flux errors range from ~25 to 40 %, mainly due to boundary layer and wind speed variability. This case study not only showcases the capabilities of applying a simple but fast cross-sectional mass balance approach, as well as its limitations due to challenging atmospheric boundary layer conditions, but also demonstrates the, to our knowledge, first successful use of both active and passive airborne remote sensing to quantify methane emissions from hot spots and independently verify their emissions.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-2024-3182
- https://egusphere.copernicus.org/preprints/2024/egusphere-2024-3182/egusphere-2024-3182.pdf
- OA Status
- gold
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403871637
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4403871637Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/egusphere-2024-3182Digital Object Identifier
- Title
-
Identification and Quantification of CH 4 Emissions from Madrid Landfills using Airborne Imaging Spectrometry and Greenhouse Gas LidarWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-29Full publication date if available
- Authors
-
Sven Krautwurst, C. Fruck, Sebastian Wolff, Jakob Borchardt, Oke Huhs, Konstantin Gerilowski, Michał Gałkowski, Christoph Kiemle, Mathieu Quatrevalet, Martin Wirth, Christian Mallaun, John P. Burrows, Christoph Gerbig, Andreas Fix, Hartmut Boesch, H. BovensmannList of authors in order
- Landing page
-
https://doi.org/10.5194/egusphere-2024-3182Publisher landing page
- PDF URL
-
https://egusphere.copernicus.org/preprints/2024/egusphere-2024-3182/egusphere-2024-3182.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://egusphere.copernicus.org/preprints/2024/egusphere-2024-3182/egusphere-2024-3182.pdfDirect OA link when available
- Concepts
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Lidar, Greenhouse gas, Environmental science, Mass spectrometry, Fugitive emissions, Remote sensing, Identification (biology), Geography, Chemistry, Geology, Botany, Oceanography, Biology, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.46688963 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |