Literature DB >> 14531521

Relating landfill gas emissions to atmospheric pressure using numerical modelling and state-space analysis.

Tjalfe G Poulsen1, Mette Christophersen, Per Moldrup, Peter Kjeldsen.   

Abstract

Landfill gas (CO2 and CH4) concentrations and fluxes in soil adjacent to an old, unlined Danish municipal landfill measured over a 48-hour period during the passage of a low-pressure weather system were used to identify processes governing gas fluxes and concentrations. Two different approaches were applied: (I) State-space analysis was used to identify relations between gas flux and short-term (hourly) variations in atmospheric pressure. (II) A numerical gas transport model was fitted to the data and used to quantify short-term impacts of variations in atmospheric pressure, volumetric soil-water content, soil gas permeability, soil gas diffusion coefficients, and biological CH4 degradation rate upon landfill gas concentration and fluxes in the soil. Fluxes and concentrations were found to be most sensitive to variations in volumetric soil water content, atmospheric pressure variations and gas permeability whereas variations in CH4 oxidation rate and molecular coefficients had less influence. Fluxes appeared to be most sensitive to atmospheric pressure at intermediate distances from the landfill edge. Also overall CH4 fluxes out of the soil over longer periods (years) were largest during periods with rapidly decreasing atmospheric pressures resulting in emission of large amounts of CH4 during short periods of time. This effect, however, was less significant for the CO2 fluxes.

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Year:  2003        PMID: 14531521     DOI: 10.1177/0734242X0302100408

Source DB:  PubMed          Journal:  Waste Manag Res


  4 in total

1.  Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network.

Authors:  Yu-Ting Bai; Xiao-Yi Wang; Qian Sun; Xue-Bo Jin; Xiao-Kai Wang; Ting-Li Su; Jian-Lei Kong
Journal:  Int J Environ Res Public Health       Date:  2019-10-09       Impact factor: 3.390

2.  Barometric-pumping controls fugitive gas emissions from a vadose zone natural gas release.

Authors:  Olenka N Forde; Aaron G Cahill; Roger D Beckie; K Ulrich Mayer
Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

3.  Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis.

Authors:  Yu-Ting Bai; Xue-Bo Jin; Xiao-Yi Wang; Xiao-Kai Wang; Ji-Ping Xu
Journal:  Int J Environ Res Public Health       Date:  2020-01-05       Impact factor: 3.390

4.  Experimental and Numerical Prediction Model for the Dangerous Radius of Natural Gas Leakage in Soil.

Authors:  Ling Ren; Yang Ni; Qi Liu; Jianguo Chen
Journal:  ACS Omega       Date:  2022-08-24
  4 in total

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