Abstract

<strong class="journal-contentHeaderColor">Abstract.</strong> Given its abundant coal mining activities, the Upper Silesian Coal Basin (USCB) in southern Poland is one of the largest sources of anthropogenic methane (CH<span class="inline-formula"><sub>4</sub></span>) emissions in Europe. Here, we report on CH<span class="inline-formula"><sub>4</sub></span> emission estimates for coal mine ventilation facilities in the USCB. Our estimates are driven by pairwise upwind–downwind observations of the column-average dry-air mole fractions of CH<span class="inline-formula"><sub>4</sub></span> (XCH<span class="inline-formula"><sub>4</sub></span>) by a network of four portable, ground-based, sun-viewing Fourier transform spectrometers of the type EM27/SUN operated during the CoMet campaign in May–June 2018. The EM27/SUN instruments were deployed in the four cardinal directions around the USCB approximately <span class="inline-formula">50</span> km from the center of the basin. We report on six case studies for which we inferred emissions by evaluating the mismatch between the observed downwind enhancements and simulations based on trajectory calculations releasing particles out of the ventilation shafts using the Lagrangian particle dispersion model FLEXPART. The latter was driven by wind fields calculated by WRF (Weather Research and Forecasting model) under assimilation of vertical wind profile measurements of three co-deployed wind lidars. For emission estimation, we use a Phillips–Tikhonov regularization scheme with the L-curve criterion. Diagnosed by the emissions averaging kernels, we find that, depending on the catchment area of the downwind measurements, our ad hoc network can resolve individual facilities or groups of ventilation facilities but that inspecting the emissions averaging kernels is essential to detect correlated estimates. Generally, our instantaneous emission estimates range between 80 and 133 kt CH<span class="inline-formula"><sub>4</sub></span> a<span class="inline-formula"><sup>−1</sup></span> for the southeastern part of the USCB and between 414 and 790 kt CH<span class="inline-formula"><sub>4</sub></span> a<span class="inline-formula"><sup>−1</sup></span> for various larger parts of the basin, suggesting higher emissions than expected from the annual emissions reported by the E-PRTR (European Pollutant Release and Transfer Register). Uncertainties range between 23 % and 36 %, dominated by the error contribution from uncertain wind fields.

Highlights

  • The atmospheric abundance of methane (CH4) increased by a factor of 2.6 since pre-industrial times from roughly 720 ppb 20 to about 1879 ppb in 2020 (Dlugokencky, 2021) mainly driven by anthropogenic influences (e.g. Bousquet et al, 2006; Loulergue et al, 2008; Kirschke et al, 2013; IPCC, 2013; Nisbet et al, 2014; Conley et al, 2016; Schwietzke et al, 2016; Worden et al, 2017; Alvarez et al, 2018; Saunois et al, 2020; Hmiel et al, 2020)

  • 20 % of the total, global anthropogenic CH4 emissions are caused by the fossil fuel industry (Bousquet et al, 2006; Schwietzke et al, 2016; Saunois et al, 2020) and an extensive source of CH4 is hard coal mining

  • Several bottom-up inventories report on the total CH4 emissions for the Upper Silesian Coal Basin (USCB): According to the GESAPU database, the USCB emitted a total of 405 kt CH4 in 2010 (Bun et al, 2019)

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Summary

Introduction

The atmospheric abundance of methane (CH4) increased by a factor of 2.6 since pre-industrial times from roughly 720 ppb 20 (parts-per-billion) to about 1879 ppb in 2020 (Dlugokencky, 2021) mainly driven by anthropogenic influences (e.g. Bousquet et al, 2006; Loulergue et al, 2008; Kirschke et al, 2013; IPCC, 2013; Nisbet et al, 2014; Conley et al, 2016; Schwietzke et al, 2016; Worden et al, 2017; Alvarez et al, 2018; Saunois et al, 2020; Hmiel et al, 2020). Based on measurements of the eastern and northern instruments (The Glade and Za Miastem) observed from 7 UTC to 10 UTC on 28 May 2018 (upper panel Fig. 7), we calculated the precision as the standard deviation of the observations, averaged between the two instruments during this period We chose this period, since the two timelines are not affected by any strong methane sources in the vicinity. The measured wind profiles (10 min time interval) reach up to 4 km a.g.l. and are assimilated into the WRF simulations to improve the modeled wind fields as discussed in Sect. In general we observed most outliers for the top comparison levels for wind direction, which could be related to a significant number of conspicuous low wind speed simulations and observations for these levels This might be related to model uncertainties when estimating the PBL height, leading to misinterpretation of actual above-PBL.

Lagrangian methane dispersion via FLEXPART
Case studies
Findings
Discussion & Conclusion
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