Retrieving coal mine CH4 emissions using UAV-based AirCore observations and the GA-IPPF model
- 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
- 2School of Mathematics and Statistics, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
- 3School of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
- 4Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
- 5Centre for Isotope Research, Energy and Sustainability Institute Groningen (ESRIG), University of Groningen, Groningen, Netherlands
- 6Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing, China
- 7Electronic Information School, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
- 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
- 2School of Mathematics and Statistics, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
- 3School of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
- 4Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
- 5Centre for Isotope Research, Energy and Sustainability Institute Groningen (ESRIG), University of Groningen, Groningen, Netherlands
- 6Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing, China
- 7Electronic Information School, Wuhan University, Luoyu Road No.129, Wuhan 430079, China
Abstract. The quantification of CH4 emissions from coal mines has large uncertainty owing to the lack of effective monitoring methods. In this study, we developed a genetic algorithm–interior point penalty function (GA-IPPF) model to calculate the emission rate of large point sources of CH4 based on concentration sample. This model can provide optimized dispersion parameters and self-calibrate, thus lowering the requirements for auxiliary data accuracy. Meanwhile, we evaluated the influence of multiple parameters on retrieving CH4-emission rate by the GA-IPPF, including the uncertainty of CH4 concentration measurements, the number of CH4 measurements, and the accuracy of meteorological data. Based on the atmospheric CH4 concentration measurements from a UAV-based AirCore system and the GA-IPPF model, we retrieved the CH4-emission rates from the Pniówek coal (Silesia coal mining region mine, Poland) ventilation shaft. Results show that, the CH4 concentrations reconstructed by the model is highly consistent to the measured ones. And the CH4-emission rates are variable even in a single day, ranging from 639.3±22.8 to 1415.5±68.5 kg/hour on August 18, 2017 and from 342.5±34.8 to 1449.8±57.1 kg/hour on August 21, 2017. The combination of the flexible UAV-based AirCore CH4 measurements and the robust GA-IPPF model provides an effective means to quantify CH4 emissions.
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Tianqi Shi et al.
Status: open (until 19 Jul 2022)
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RC1: 'Comment on acp-2022-180', Anonymous Referee #1, 27 Jun 2022
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The review is attached as a pdf.
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RC2: 'Comment on acp-2022-180', Anonymous Referee #2, 27 Jun 2022
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General Comments: The manuscript presents an interesting study of CH4 emissions from coal mines, but it is not well written in parts and many small sections need to be corrected / clarified (see attached PDF). For example, it is not clear what is meant by effective emission height and why it is different between the 2 flights when the emission point source (the stack) remains at the same height. There is very little discussion of the wider applicability of the technique. The abstract implies that it can be used to calculate emissions from coal mines, but the results section seems to suggest that it works only for single point sources, such as a vent or shaft, and that there would be big error bars on q if the emission was not from a point source. This needs to be clarified in the discussion. There should be some recommendation as to how many flights would be required to minimise the errors on the model results.
Tianqi Shi et al.
Tianqi Shi et al.
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