TY - JOUR
T1 - Insights into Elevated Methane Emissions from an Australian Open-Cut Coal Mine Using Two Independent Airborne Techniques
AU - Borchardt, Jakob
AU - Harris, Stephen J.
AU - Hacker, Jorg M.
AU - Lunt, Mark
AU - Krautwurst, Sven
AU - Bai, Mei
AU - Bösch, Hartmut
AU - Bovensmann, Heinrich
AU - Burrows, John P.
AU - Chakravarty, Shakti
AU - Field, Robert A.
AU - Gerilowski, Konstantin
AU - Huhs, Oke
AU - Junkermann, Wolfgang
AU - Kelly, Bryce F.J.
AU - Kumm, Martin
AU - Lieff, Wolfgang
AU - McGrath, Andrew
AU - Murphy, Adrian
AU - Schindewolf, Josua
AU - Thoböll, Jakob
PY - 2025/4/8
Y1 - 2025/4/8
N2 - Governments and industries worldwide are seeking methods to accurately estimate their methane inventories, particularly in the open-cut coal mining sector, where quantifying facility-level emissions remains challenging and robust verification methods are not yet widespread. Here, we compare methane emission rates estimated from two aircraft-based measurement platforms with operator-reported emissions from an open-cut coal mine in the Bowen Basin (Queensland, Australia). Coarse-resolution satellite-based data identified the mine as a significant emitter, making it ideal for case studies using airborne in situ and remote sensing platforms that provide high-resolution measurements to isolate mine-scale emissions. Using airborne in situ measurements, we estimated methane emission rates of 14.0 ± 3.3 (±2σ) t h-1 during May and June 2022. In September 2023, airborne in situ and remote sensing measurements yielded consistent emission rate estimates of 9.6 ± 1.9 (±2σ) t h-1 and 11.3 ± 5.3 (±2σ) t h-1, respectively. If sustained, these rates would equate to annual emissions of 1.5-4.2 Mt of CO2 equivalents (CO2-e) year-1, 3-8 times higher than operator-reported annual Scope 1 emissions (0.53-0.54 Mt of CO2-e year-1). Beyond highlighting the potential for under-reporting of emissions at this mine, our results indicate that aircraft-based technologies are valuable tools for supporting accurate reporting of facility-scale methane emissions from open-cut coal mines.
AB - Governments and industries worldwide are seeking methods to accurately estimate their methane inventories, particularly in the open-cut coal mining sector, where quantifying facility-level emissions remains challenging and robust verification methods are not yet widespread. Here, we compare methane emission rates estimated from two aircraft-based measurement platforms with operator-reported emissions from an open-cut coal mine in the Bowen Basin (Queensland, Australia). Coarse-resolution satellite-based data identified the mine as a significant emitter, making it ideal for case studies using airborne in situ and remote sensing platforms that provide high-resolution measurements to isolate mine-scale emissions. Using airborne in situ measurements, we estimated methane emission rates of 14.0 ± 3.3 (±2σ) t h-1 during May and June 2022. In September 2023, airborne in situ and remote sensing measurements yielded consistent emission rate estimates of 9.6 ± 1.9 (±2σ) t h-1 and 11.3 ± 5.3 (±2σ) t h-1, respectively. If sustained, these rates would equate to annual emissions of 1.5-4.2 Mt of CO2 equivalents (CO2-e) year-1, 3-8 times higher than operator-reported annual Scope 1 emissions (0.53-0.54 Mt of CO2-e year-1). Beyond highlighting the potential for under-reporting of emissions at this mine, our results indicate that aircraft-based technologies are valuable tools for supporting accurate reporting of facility-scale methane emissions from open-cut coal mines.
KW - airborne atmospheric measurements
KW - airborne in situ
KW - airborne remote sensing
KW - climate change
KW - coal mine methane
KW - emission inventory
KW - greenhouse gases
KW - top-down
UR - http://www.scopus.com/inward/record.url?scp=105002315782&partnerID=8YFLogxK
U2 - 10.1021/acs.estlett.4c01063
DO - 10.1021/acs.estlett.4c01063
M3 - Article
AN - SCOPUS:105002315782
SN - 2328-8930
VL - 12
SP - 397
EP - 404
JO - Environmental Science and Technology Letters
JF - Environmental Science and Technology Letters
IS - 4
ER -