Szczegóły publikacji
Opis bibliograficzny
Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements / Truls Andersen, Zhao Zhao, Marcel de Vries, Jarosław NĘCKI, Justyna SWOLKIEŃ, Malika Menoud, Thomas Röckmann, Anke Roiger, Andreas Fix, Wouter Peters, Huilin Chen // Atmospheric Chemistry and Physics ; ISSN 1680-7316. — 2023 — vol. 23 nr 9, s. 5191-5216. — Bibliogr. s. 5213-5216, Abstr. — Publikacja dostępna online od: 2023-05-08
Autorzy (11)
- Andersen Truls
- Zhao Zhao
- de Vries Marcel
- AGHNęcki Jarosław
- AGHSwolkień Justyna
- Menoud Malika
- Röckmann Thomas
- Roiger Anke
- Fix Andreas
- Peters Wouter
- Chen Huilin
Dane bibliometryczne
| ID BaDAP | 146617 |
|---|---|
| Data dodania do BaDAP | 2023-05-30 |
| Tekst źródłowy | URL |
| DOI | 10.5194/acp-23-5191-2023 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Atmospheric Chemistry and Physics |
Abstract
Coal mining accounts for ∼12 % of the total anthropogenic methane (CH4) emissions worldwide. The Upper Silesian Coal Basin (USCB), Poland, where large quantities of CH4 are emitted to the atmosphere via ventilation shafts of underground hard coal (anthracite) mines, is one of the hot spots of methane emissions in Europe. However, coal bed CH4 emissions into the atmosphere are poorly characterized. As part of the carbon dioxide and CH4 mission 1.0 (CoMet 1.0) that took place in May–June 2018, we flew a recently developed active AirCore system aboard an unmanned aerial vehicle (UAV) to obtain CH4 and CO2 mole fractions 150–300 m downwind of five individual ventilation shafts in the USCB. In addition, we also measured δ13C-CH4, δ2H-CH4, ambient temperature, pressure, relative humidity, surface wind speed, and surface wind direction. We used 34 UAV flights and two different approaches (inverse Gaussian approach and mass balance approach) to quantify the emissions from individual shafts. The quantified emissions were compared to both annual and hourly inventory data and were used to derive the estimates of CH4 emissions in the USCB. We found a high correlation (R2=0.7–0.9) between the quantified and hourly inventory data-based shaft-averaged CH4 emissions, which in principle would allow regional estimates of CH4 emissions to be derived by upscaling individual hourly inventory data of all shafts. Currently, such inventory data is available only for the five shafts we quantified. As an alternative, we have developed three upscaling approaches, i.e., by scaling the European Pollutant Release and Transfer Register (E-PRTR) annual inventory, the quantified shaft-averaged emission rate, and the shaft-averaged emission rate, which are derived from the hourly emission inventory. These estimates are in the range of 256–383 kt CH4 yr−1 for the inverse Gaussian (IG) approach and 228–339 kt CH4 yr−1 for the mass balance (MB) approach. We have also estimated the total CO2 emissions from coal mining ventilation shafts based on the observed ratio of and found that the estimated regional CO2 emissions are not a major source of CO2 in the USCB. This study shows that the UAV-based active AirCore system can be a useful tool to quantify local to regional point source methane emissions.
