The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Short-term landfill methane emissions dependency on wind
Open accessAbstract
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 th…
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In the citing paper
“Moreover, weather monitoring stations often measure other relevant parameters such as ambient air temperature (AT), wind direction (WD), wind speed (WS), barometric pressure (PB), relative humidity (RH) and atmospheric concentration of other gases such as ozone (O3), which may affect the concentration of CH4 (Zona et al., 2016; Delkash et al., 2016; Vinogradova et al., 2022).”
From Decoding methane concentration in Alberta oil sands: A machine learning exploration (2025) · cites this paper as Delkash et al., 2016
In the citing paper
“It is known that wind angle can be used in determining the directions associated with different sources of CH4 (Delkash et al., 2016; Stockie, 2011).”
From Decoding methane concentration in Alberta oil sands: A machine learning exploration (2025) · cites this paper as Delkash et al., 2016
Citations
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Cited by
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Methodologies for measuring fugitive methane emissions from landfills – A review
Mønster, J. G., Kjeldsen, P., & Scheutz, C. (2019) · Waste Management · doi:10.1016/j.wasman.2018.12.047 · Cited by 227
Tu, Q., Hase, F., Schneider, M. F., García, O., Blumenstock, T., Borsdorff, T., Frey, M., Khosrawi, F., Lorente, A., Alberti, C., et al. (2022) · Atmospheric chemistry and physics · doi:10.5194/acp-22-295-2022 · Cited by 84
Matacchiera, F., Manes, C., Beaven, R. P., Rees-White, T. C., Boano, F., Mønster, J. G., & Scheutz, C. (2018) · Waste Management · doi:10.1016/j.wasman.2018.02.007 · Cited by 51
Siting and ranking municipal landfill sites in regional scale using nighttime satellite imagery
Karimi, N., Richter, A., & Ng, K. T. W. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.109942 · Cited by 51
Methane emission dynamics from a Danish landfill: The effect of changes in barometric pressure
Kissas, K., Ibrom, A., Kjeldsen, P., & Scheutz, C. (2021) · Waste Management · doi:10.1016/j.wasman.2021.11.043 · Cited by 48
Metadata
- Authors
- Delkash, M., Zhou, B., Han, B., Chow, F. K., Rella, C. W., & Imhoff, P. T.
- Affiliations
- University of Delaware (US)
- University of California, Berkeley (US)
- Picarro (United States) (US)
- Corresponding author
- Imhoff, Paul T.
- Venue
- Waste Management
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 55
- Pages
- 288-298
- ISSN
- 0956-053X (ISSN-L)
- OpenAlex
- W2276237925
- Cited by
- 43
- References
- 21
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 5 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 4 · 2018: 4 · 2017: 2 · 2016: 2
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 327 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Waste Management (acceptedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Science Foundation (ATM-0645784)
- University of Delaware Research Foundation
- University of Delaware
- U.S. Department of Energy (DE-FC26-05NT42432)
- Topics
- Physical Sciences › Environmental Science › Waste Management and Disposal › Landfill Environmental Impact Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
- Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
- Keywords
- landfill methane emissions, wind speed, atmospheric dispersion modeling, surface wind speed, spatial variability of emissions
- MeSH terms
- Air Pollutants, Environmental Monitoring, Methane, Models, Chemical, Refuse Disposal, Wind, Waste Disposal Facilities
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Short-term landfill methane emissions dependency on wind. https://app.cochat.ai/papers/10.1016/j.wasman.2016.02.009
- The paper
- Delkash, M., Zhou, B., Han, B., Chow, F. K., Rella, C. W., & Imhoff, P. T. (2016). Short-term landfill methane emissions dependency on wind. Waste Management. https://doi.org/10.1016/j.wasman.2016.02.009
