• >Contact us
  • >Journal
  • >
Finding the Missing Link in Methane Emission Inventories Using Aircraft and Mobile Observations
Writer 관리자 Date 2022-04-06 20:20 Hit 1,175

Finding the Missing Link in Methane Emission Inventories Using Aircraft and Mobile Observations

 

Abstract

Methane emissions are associated with a wide range of human activities and contribute to climate radiative forcing as an 

effective absorber of terrestrial longwave radiation. In this study, we detected high levels of methane outside metropolitan 

areas via aircraft and mobile measurements that were conducted in February and March 2021. The emission sources were 

investigated using a particle dispersion model that combines the Weather Research and Forecasting model and the 

Stochastic Time-Inverted Lagrangian Transport model. Overall, the average measured methane emissions were 239.4–313.5

ppb (12.6 – 16.5 %) higher than the monthly average methane levels observed at the Mauna Loa Observatory in Hawaii. In

addition, methane concentration hotspots were found to be 190.2–380.8 ppb (10 – 20 %) higher than the concentrations

of the surrounding areas. According to the footprint analysis of four local methane hotspots, high methane concentrations

appear to be associated with intensive pig farm areas, industrial complexes, industrial wastes dumps, and landfills. However,

as there were significant methane emission sources that were hidden and thus excluded from the methane inventory, the

current estimates of methane emissions may be underestimated. This study shows that more attention is needed to monitor

methane leaks from both unknown and known methane emission sources. We also urge the preparation of a more reliable

methane budget to achieve carbon neutrality through regular high-resolution monitoring systems.  

 

Key words 

Methane, Inventory, Metropolitan, WRF-STILT, Mobile and aircraft measurement

 

▶sources : Asia-Pacific Journal of Atmospheric Sciences, Volume 58, issue 2

File Finding the Missing Link in Methane Emission Inventories Using Aircraft and Mobile Observations.pdf(1.1M)