Detection of hotspots and rapid determination of methane emissions from landfills via a ground-surface method
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We present a method for the rapid determination of methane emissions from landfills based on atmospheric dispersion theory, which suggests that the methane concentration, at a small distance from the soil/atmosphere interface, is proportional to its flux. Thus, after suitable calibration, the determination of methane concentrations close to the ground allows for flux determination in a shorter time than with standard enclosure techniques. This concept was tested using a surface probe in direct contact with the ground. The probe extracts a continuous sample of the air at the probe/ground interface and transports it to a portable methane analyzer. It was observed that stable methane concentrations were measured 30 s after the probe was positioned at the measurement point. These concentrations correlated well with the fluxes measured by standard static chambers. The method was used to determine the fluxes at 217 points within a 90,000 m2 landfill. These measurements facilitated mapping of the CH4 emissions and the localization of hotspots. We conclude that the method is simple, effective, and relatively quick, compared to existing standard methods.
KeywordsSolid waste landfill Methane flux measurement Hotspots Mapping Methane emissions Greenhouse gases
This work was financially supported by the “Mexican National Council of Science and Technology (CONACYT)” through project grant No. 23661. Rodrigo Gonzalez-Valencia and Felipe Magana-Rodriguez received grant-aided support from CONACYT (scholarship numbers 266244 and 419562). The authors are thankful to Gustavo Varela, Mario Maldonado, German Salinas, and Carlos Quiroga from “Soluciones para el Control de Recursos (SCR),” for the technical assistance during the sampling campaigns. The authors are thankful to Victoria T. Velazquez Martinez, Juan Corona, Joel Alba, and David E. Flores-Rojas for their technical support.
Conflict of interest
The authors declare that they have no conflict of interest.
- Bogner, J., Pipatti, R., Hashimoto, S., Diaz, C., Mareckova, K., Diaz, L., et al. (2008). Mitigation of global greenhouse gas emissions from waste: conclusions and strategies from the Intergovernmental Panel on Climate Change (IPCC) fourth assessment report. Working Group III (mitigation). Waste Management & Research, 26(1), 11–32. doi: 10.1177/0734242x07088433.CrossRefGoogle Scholar
- Dalal, R. C., Allen, D. E., Livesley, S. J., & Richards, G. (2008). Magnitude and biophysical regulators of methane emission and consumption in the Australian agricultural, forest, and submerged landscapes: a review. Plant and Soil, 309(1–2), 43–76. doi: 10.1007/s11104-007-9446-7.CrossRefGoogle Scholar
- EA. (2010). Guidance on monitoring landfill gas surface emissions. United Kingdom: Environment Agency.Google Scholar
- Giani, L., Bredenkamp, J., & Eden, I. (2002). Temporal and spatial variability of the CH4 dynamics of landfill cover soils. Journal of Plant Nutrition and Soil Science-Zeitschrift Fur Pflanzenernahrung Und Bodenkunde, 165(2), 205–210. doi: 10.1002/1522-2624(200204)165:2<205::aid-jpln205>3.0.co;2-t.CrossRefGoogle Scholar
- ISWA. (2009). Waste and climate change, ISWA White paper. International Solid Waste Association. http://www.iswa.org/fileadmin/user_upload/_temp_/WEB_ISWA_White_paper.pdf. Accessed 13 November 2013.
- Pedersen, A. R. (2012). HMR: Flux estimation with static chamber data. R package version 0.3.1. http://CRAN.R-project.org/package=HMR. Accessed 5 May 2013.
- R Core Team (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.R-project.org/. Accessed 5 February 2013.
- Rolston, D. E. (1986). Gas Flux. Methods of Soil Analysis: Part 1—Physical and Mineralogical Methods, sssabookseries (methodsofsoilan1), 1103–1119, doi: 10.2136/sssabookser5.1.2ed.c47.
- Sewerin (2012). User´s Manual EX-TEC HS 680 / 660 / 650 /610. New Jersey.Google Scholar
- USEPA (2006). Global Anthropogenic Non-CO2 Greenhouse Gas Emissions: 1990–2020. Report. United States Environmental Protection Agency. EPA-430-R-06-003. http://www.epa.gov/climatechange/EPAactivities/economics/nonco2projections.html. Accessed 8 November 2013.
- USEPA (2006). Other Test Method 10 (OTM 10) - Optical Remote Sensing for Emission Characterization from Non-point Sources. Other Method. United States Environmental Protection Agency. http://www.epa.gov/ttnemc01/prelim.html. Accessed 13 November 2013.