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Short-term landfill methane emissions dependency on wind.
Delkash, Madjid; Zhou, Bowen; Han, Byunghyun; Chow, Fotini K; Rella, Chris W; Imhoff, Paul T.
Affiliation
  • Delkash M; Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, United States. Electronic address: delkash@udel.edu.
  • Zhou B; Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720-1710, United States. Electronic address: zhoubowen58@gmail.com.
  • Han B; Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, United States. Electronic address: gragebhan@gmail.com.
  • Chow FK; Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720-1710, United States. Electronic address: tinakc@berkeley.edu.
  • Rella CW; Picarro, Inc., 3105 Patrick Henry Dr, Santa Clara, CA 95054, United States. Electronic address: rella@picarro.com.
  • Imhoff PT; Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, United States. Electronic address: imhoff@udel.edu.
Waste Manag ; 55: 288-98, 2016 Sep.
Article in En | MEDLINE | ID: mdl-26896003
Short-term (2-10h) variations of whole-landfill methane emissions have been observed in recent field studies using the tracer dilution method for emissions measurement. To investigate the cause of these variations, the tracer dilution method is applied using 1-min emissions measurements at Sandtown Landfill (Delaware, USA) for a 2-h measurement period. An atmospheric dispersion model is developed for this field test site, which is the first application of such modeling to evaluate atmospheric effects on gas plume transport from landfills. The model is used to examine three possible causes of observed temporal emissions variability: temporal variability of surface wind speed affecting whole landfill emissions, spatial variability of emissions due to local wind speed variations, and misaligned tracer gas release and methane emissions locations. At this site, atmospheric modeling indicates that variation in tracer dilution method emissions measurements may be caused by whole-landfill emissions variation with wind speed. Field data collected over the time period of the atmospheric model simulations corroborate this result: methane emissions are correlated with wind speed on the landfill surface with R(2)=0.51 for data 2.5m above ground, or R(2)=0.55 using data 85m above ground, with emissions increasing by up to a factor of 2 for an approximately 30% increase in wind speed. Although the atmospheric modeling and field test are conducted at a single landfill, the results suggest that wind-induced emissions may affect tracer dilution method emissions measurements at other landfills.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Air Pollutants / Waste Disposal Facilities / Methane / Models, Chemical Type of study: Prognostic_studies Language: En Journal: Waste Manag Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2016 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Air Pollutants / Waste Disposal Facilities / Methane / Models, Chemical Type of study: Prognostic_studies Language: En Journal: Waste Manag Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2016 Document type: Article Country of publication: United States