Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements

被引:7
作者
Andersen, Truls [1 ]
Zhao, Zhao [2 ]
de Vries, Marcel [1 ]
Necki, Jaroslaw [4 ]
Swolkien, Justyna [5 ]
Menoud, Malika [6 ]
Roeckmann, Thomas [6 ]
Roiger, Anke [7 ]
Fix, Andreas [7 ]
Peters, Wouter [1 ,3 ]
Chen, Huilin [1 ,2 ]
机构
[1] Univ Groningen, Energy & Sustainabil Inst Groningen ESRIG, Ctr Isotope Res, Groningen, Netherlands
[2] Nanjing Univ, Sch Atmospher Sci, Joint Int Res Lab Atmospher & Earth Syst Sci, Nanjing, Peoples R China
[3] Wageningen Univ & Res Ctr, Meteorol & Air Qual, Wageningen, Netherlands
[4] AGH Univ Sci & Technol, Fac Phys & Appl Comp Sci, Krakow, Poland
[5] AGH Univ Sci & Technol, Fac Civil Engn & Resource Management, Krakow, Poland
[6] Univ Utrecht, Inst Marine & Atmospher Res Utrecht IMAU, Utrecht, Netherlands
[7] Deutsch Zent Luft & Raumfahrt e V DLR, Inst Phys Atmosphare, Oberpfaffenhofen, Germany
基金
欧盟地平线“2020”;
关键词
IN-SITU OBSERVATIONS; TALL TOWER; RELEASE EXPERIMENT; CH4; CO2; BUDGET; SYSTEM;
D O I
10.5194/acp-23-5191-2023
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Coal mining accounts for similar to 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 delta C-13-CH4, delta H-2-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 (R-2=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 ktCH4yr(-1) for the inverse Gaussian (IG) approach and 228-339 ktCH4yr(-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 CH4/CO2 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.
引用
收藏
页码:5191 / 5216
页数:26
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