Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method
<p>Intensive coal mining activities in the Upper Silesian Coal Basin (USCB) in southern Poland are resulting in large amounts of methane (<span class="inline-formula">CH<sub>4</sub></span>) emissions. Annual <span class="inline-formula">CH<s...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-08-01
|
| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/22/9747/2022/acp-22-9747-2022.pdf |
| _version_ | 1828429683928072192 |
|---|---|
| author | Q. Tu Q. Tu M. Schneider F. Hase F. Khosrawi B. Ertl B. Ertl J. Necki D. Dubravica C. J. Diekmann C. J. Diekmann T. Blumenstock D. Fang D. Fang |
| author_facet | Q. Tu Q. Tu M. Schneider F. Hase F. Khosrawi B. Ertl B. Ertl J. Necki D. Dubravica C. J. Diekmann C. J. Diekmann T. Blumenstock D. Fang D. Fang |
| author_sort | Q. Tu |
| collection | DOAJ |
| description | <p>Intensive coal mining activities in the Upper Silesian
Coal Basin (USCB) in southern Poland are resulting in large amounts of
methane (<span class="inline-formula">CH<sub>4</sub></span>) emissions. Annual <span class="inline-formula">CH<sub>4</sub></span> emissions reached 448 kt
according to the European Pollutant Release and Transfer Register (E-PRTR,
2017). As a <span class="inline-formula">CH<sub>4</sub></span> emission hotspot in Europe, it is of importance to investigate its emission sources and make accurate emission estimates.</p>
<p>In this study, we use satellite-based total column-averaged dry-air mole
fraction of <span class="inline-formula">CH<sub>4</sub></span> (<span class="inline-formula">XCH<sub>4</sub></span>) from the TROPOspheric Monitoring Instrument
(TROPOMI) and tropospheric <span class="inline-formula">XCH<sub>4</sub></span> (<span class="inline-formula">TXCH<sub>4</sub></span>) from the Infrared
Atmospheric Sounding Interferometer (IASI). In addition, the high-resolution
model forecasts, <span class="inline-formula">XCH<sub>4</sub></span> and <span class="inline-formula">TXCH<sub>4</sub></span>, from the Copernicus Atmosphere
Monitoring Service (CAMS) are used to estimate the <span class="inline-formula">CH<sub>4</sub></span> emission rate
averaged over 3 years (November 2017–December 2020) in the USCB
region (49.3–50.8<span class="inline-formula"><sup>∘</sup></span> N and 18–20<span class="inline-formula"><sup>∘</sup></span> E). The wind-assigned anomaly method is first validated using the
CAMS forecast data (<span class="inline-formula">XCH<sub>4</sub></span> and <span class="inline-formula">TXCH<sub>4</sub></span>), showing a good
agreement with the CAMS GLOBal ANThropogenic emission (CAMS-GLOB-ANT) inventory. It indicates that the
wind-assigned method works well. This wind-assigned method is further
applied to the TROPOMI <span class="inline-formula">XCH<sub>4</sub></span> and TROPOMI <span class="inline-formula">+</span> IASI <span class="inline-formula">TXCH<sub>4</sub></span> by using the
Carbon dioxide and Methane (CoMet) inventory derived for the year 2018. The
calculated averaged total <span class="inline-formula">CH<sub>4</sub></span> emissions over the USCB region is about
496 kt yr<span class="inline-formula"><sup>−1</sup></span> (<span class="inline-formula">5.9×10<sup>26</sup></span> molec. s<span class="inline-formula"><sup>−1</sup></span>) for TROPOMI <span class="inline-formula">XCH<sub>4</sub></span> and 437 kt yr<span class="inline-formula"><sup>−1</sup></span> (<span class="inline-formula">5.2×10<sup>26</sup></span> molec. s<span class="inline-formula"><sup>−1</sup></span>) for TROPOMI <span class="inline-formula">+</span> IASI <span class="inline-formula">TXCH<sub>4</sub></span>. These values are very close to the
ones given in the E-PRTR inventory (448 kt yr<span class="inline-formula"><sup>−1</sup></span>) and the ones in the CoMet
inventory (555 kt yr<span class="inline-formula"><sup>−1</sup></span>), and are thus in agreement with these inventories.
The similar estimates of <span class="inline-formula">XCH<sub>4</sub></span> and <span class="inline-formula">TXCH<sub>4</sub></span> also imply that for a
strong source, the dynamically induced variations of the <span class="inline-formula">CH<sub>4</sub></span> mixing
ratio in the upper troposphere and lower stratosphere region are of
secondary importance. Uncertainties from different error sources (background
removal and noise in the data, vertical wind shear, wind field segmentation,
and angle of the emission cone) are approximately 14.8 % for TROPOMI
<span class="inline-formula">XCH<sub>4</sub></span> and 11.4 % for TROPOMI <span class="inline-formula">+</span> IASI <span class="inline-formula">TXCH<sub>4</sub></span>. These results suggest
that our wind-assigned method is quite robust and might also serve as a
simple method to estimate <span class="inline-formula">CH<sub>4</sub></span> or <span class="inline-formula">CO<sub>2</sub></span> emissions for other regions.</p> |
| first_indexed | 2024-12-10T17:37:46Z |
| format | Article |
| id | doaj.art-a303abaa2a454882946adfe4c27da68f |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-10T17:37:46Z |
| publishDate | 2022-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-a303abaa2a454882946adfe4c27da68f2022-12-22T01:39:29ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242022-08-01229747976510.5194/acp-22-9747-2022Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly methodQ. Tu0Q. Tu1M. Schneider2F. Hase3F. Khosrawi4B. Ertl5B. Ertl6J. Necki7D. Dubravica8C. J. Diekmann9C. J. Diekmann10T. Blumenstock11D. Fang12D. Fang13School of Mechanical Engineering, Tongji University, Shanghai, ChinaKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, GermanyKarlsruhe Institute of Technology, Steinbuch Centre for Computing (SCC), Karlsruhe, GermanyAGH – University of Science and Technology, Krakow, PolandKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, GermanyKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, Germanynow at: Software Solutions Department, Telespazio Germany GmbH, Darmstadt, GermanyKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe, GermanySchool of Mechanical Engineering, Tongji University, Shanghai, ChinaQingdao Sino-German Institute of Intelligent Technologies, Qingdao, China<p>Intensive coal mining activities in the Upper Silesian Coal Basin (USCB) in southern Poland are resulting in large amounts of methane (<span class="inline-formula">CH<sub>4</sub></span>) emissions. Annual <span class="inline-formula">CH<sub>4</sub></span> emissions reached 448 kt according to the European Pollutant Release and Transfer Register (E-PRTR, 2017). As a <span class="inline-formula">CH<sub>4</sub></span> emission hotspot in Europe, it is of importance to investigate its emission sources and make accurate emission estimates.</p> <p>In this study, we use satellite-based total column-averaged dry-air mole fraction of <span class="inline-formula">CH<sub>4</sub></span> (<span class="inline-formula">XCH<sub>4</sub></span>) from the TROPOspheric Monitoring Instrument (TROPOMI) and tropospheric <span class="inline-formula">XCH<sub>4</sub></span> (<span class="inline-formula">TXCH<sub>4</sub></span>) from the Infrared Atmospheric Sounding Interferometer (IASI). In addition, the high-resolution model forecasts, <span class="inline-formula">XCH<sub>4</sub></span> and <span class="inline-formula">TXCH<sub>4</sub></span>, from the Copernicus Atmosphere Monitoring Service (CAMS) are used to estimate the <span class="inline-formula">CH<sub>4</sub></span> emission rate averaged over 3 years (November 2017–December 2020) in the USCB region (49.3–50.8<span class="inline-formula"><sup>∘</sup></span> N and 18–20<span class="inline-formula"><sup>∘</sup></span> E). The wind-assigned anomaly method is first validated using the CAMS forecast data (<span class="inline-formula">XCH<sub>4</sub></span> and <span class="inline-formula">TXCH<sub>4</sub></span>), showing a good agreement with the CAMS GLOBal ANThropogenic emission (CAMS-GLOB-ANT) inventory. It indicates that the wind-assigned method works well. This wind-assigned method is further applied to the TROPOMI <span class="inline-formula">XCH<sub>4</sub></span> and TROPOMI <span class="inline-formula">+</span> IASI <span class="inline-formula">TXCH<sub>4</sub></span> by using the Carbon dioxide and Methane (CoMet) inventory derived for the year 2018. The calculated averaged total <span class="inline-formula">CH<sub>4</sub></span> emissions over the USCB region is about 496 kt yr<span class="inline-formula"><sup>−1</sup></span> (<span class="inline-formula">5.9×10<sup>26</sup></span> molec. s<span class="inline-formula"><sup>−1</sup></span>) for TROPOMI <span class="inline-formula">XCH<sub>4</sub></span> and 437 kt yr<span class="inline-formula"><sup>−1</sup></span> (<span class="inline-formula">5.2×10<sup>26</sup></span> molec. s<span class="inline-formula"><sup>−1</sup></span>) for TROPOMI <span class="inline-formula">+</span> IASI <span class="inline-formula">TXCH<sub>4</sub></span>. These values are very close to the ones given in the E-PRTR inventory (448 kt yr<span class="inline-formula"><sup>−1</sup></span>) and the ones in the CoMet inventory (555 kt yr<span class="inline-formula"><sup>−1</sup></span>), and are thus in agreement with these inventories. The similar estimates of <span class="inline-formula">XCH<sub>4</sub></span> and <span class="inline-formula">TXCH<sub>4</sub></span> also imply that for a strong source, the dynamically induced variations of the <span class="inline-formula">CH<sub>4</sub></span> mixing ratio in the upper troposphere and lower stratosphere region are of secondary importance. Uncertainties from different error sources (background removal and noise in the data, vertical wind shear, wind field segmentation, and angle of the emission cone) are approximately 14.8 % for TROPOMI <span class="inline-formula">XCH<sub>4</sub></span> and 11.4 % for TROPOMI <span class="inline-formula">+</span> IASI <span class="inline-formula">TXCH<sub>4</sub></span>. These results suggest that our wind-assigned method is quite robust and might also serve as a simple method to estimate <span class="inline-formula">CH<sub>4</sub></span> or <span class="inline-formula">CO<sub>2</sub></span> emissions for other regions.</p>https://acp.copernicus.org/articles/22/9747/2022/acp-22-9747-2022.pdf |
| spellingShingle | Q. Tu Q. Tu M. Schneider F. Hase F. Khosrawi B. Ertl B. Ertl J. Necki D. Dubravica C. J. Diekmann C. J. Diekmann T. Blumenstock D. Fang D. Fang Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Atmospheric Chemistry and Physics |
| title | Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method |
| title_full | Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method |
| title_fullStr | Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method |
| title_full_unstemmed | Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method |
| title_short | Quantifying CH<sub>4</sub> emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method |
| title_sort | quantifying ch sub 4 sub emissions in hard coal mines from tropomi and iasi observations using the wind assigned anomaly method |
| url | https://acp.copernicus.org/articles/22/9747/2022/acp-22-9747-2022.pdf |
| work_keys_str_mv | AT qtu quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT qtu quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT mschneider quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT fhase quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT fkhosrawi quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT bertl quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT bertl quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT jnecki quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT ddubravica quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT cjdiekmann quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT cjdiekmann quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT tblumenstock quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT dfang quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod AT dfang quantifyingchsub4subemissionsinhardcoalminesfromtropomiandiasiobservationsusingthewindassignedanomalymethod |