Hotspot Detection and Estimation of Methane Emissions from Landfill Final Cover

Abstract

The main objectives of this study were to identify methane hotspots through spatial distribution tests of the surface methane concentration above a landfill final cover and to investigate the effects of rainfall, atmospheric pressure, ground temperature, and ambient methane concentration on methane emissions. A portable laser methane detector was used to measure the spatial distribution of methane concentrations. The methane concentration distribution showed a distinct spatial variability. The maximum methane concentration reached 3225 ppm, while 73.0% of the methane concentration values were below 10.0 ppm. Several meteorological factors were found to be associated with the variation in methane emissions. Rainfall limited gas transport in the cover, resulting in more significant methane hotspots. Atmospheric pressure was negatively correlated with methane emission. The ambient methane concentration and methane flux had a significant positive linear correlation. Based on a linear correlation equation, the spatial distribution of methane concentrations in the landfill could be converted into a methane emission distribution. The estimated average value for methane emissions in the test area was approximately 4.3 g m−2 d−1. This study provides an experimental basis for locating methane hotspots and assessing methane emissions in landfill final covers, and proposes supplementary means for detecting geomembrane damage in landfill covers.

Evaluation of atmospheric methane concentrations and growth trends in selected locations of Rivers State, Nigeria

“…Environmental Protection Agency, 2023). Wu et al (2023) highlight its considerable impact over a 100-year horizon, emphasizing its role in the current climate crisis. Both natural and anthropogenic sources, including the fossil fuels, waste, and agriculture sectors, release methane into the atmosphere, with the oil and gas sector alone responsible for nearly 23% of emissions (Atkins et al, 2021;Cardoso-Saldaña & Allen, 2020;Kim et al, 2021;Malhi et al, 2021;Singh, 2023).…”