Comparing estimates of fugitive landfill methane emissions using inverse plume modeling obtained with Surface Emission Monitoring (SEM), Drone Emission Monitoring (DEM), and Downwind Plume Emission Monitoring (DWPEM)

References

• Allen, G., P. Hollingsworth, K. Kabbabe, J. R. Pitt, M. I. Mead, S. Illingworth, … C. J. Percival. 2019. The development and trial of an unmanned aerial system for the measurement of methane flux from landfill and greenhouse gas emission hotspots. Waste Manage. 87:883–92.
   PubMed Web of Science ®Google Scholar
• Allen, G., J. Pitt, P. Hollingsworth, I. Mead, K. Kabbabe, G. Roberts, and C. Percival. 2015. Measuring landfill methane emissions using unmanned aerial systems: Field trial and operational guidance. Bristol, UK: Environment Agency.
   Google Scholar
• Atherton, E., D. Risk, C. Fougère, M. Lavoie, A. Marshall, J. Werring, … C. Minions. 2017. Mobile measurement of methane emissions from natural gas developments in northeastern British Columbia, Canada. Atmos. Chem. Phys. 17 (20):12405–20. doi:10.5194/acp-17-12405-2017.
   Web of Science ®Google Scholar
• Babilotte, A., T. Lagier, E. Fiani, and V. Taramini. 2010. Fugitive methane emissions from landfills: Field comparison of five methods on a French landfill. J. Environ. Eng. 136 (8):777–84. doi:10.1061/(ASCE)EE.1943-7870.0000260.
   Web of Science ®Google Scholar
• Berman, E. S. F., M. Fladeland, J. Liem, R. Kolyer, and M. Gupta. 2012. Greenhouse gas analyzer for measurements of carbon dioxide, methane, and water vapor aboard an unmanned aerial vehicle. Sens. Actuators B Chemical 169:128–35. doi:10.1016/j.snb.2012.04.036.
   Web of Science ®Google Scholar
• EEA. (2014). Annual European Union greenhouse gas inventory 1990-2011 and inventory report 2014, European Environment Agency.
   Google Scholar
• Emran, B. J., D. D. Tannant, and H. Najjaran. 2017. Low-altitude aerial methane concentration mapping. Remote Sens. 9 (8):823.
   Google Scholar
• EPA. (2019). U.S. Greenhouse Gas Emissions and Sinks: 1990–2017, U.S. Environmental Protection Agency, Washington, DC, USA.
   Google Scholar
• Figueroa, V. K., K. R. Mackie, N. Guarriello, and C. D. Cooper. 2009. A robust method for estimating landfill methane emissions. J. Air Waste Manage. Assoc. 59 (8):925–35. doi:10.3155/1047-3289.59.8.925.
   Web of Science ®Google Scholar
• Fredenslund, A. M., J. Mønster, P. Kjeldsen, and C. Scheutz. 2018. Development and implementation of a screening method to categorise the greenhouse gas mitigation potential of 91 landfills. Waste Manage.87:915–23.
   Google Scholar
• Goldberg, D. E. 1989. Genetic algorithms in search, optimization, and machine learning. Boston, MA: Addison-Wesley Longman.
   Google Scholar
• Goldsmith, C. D., J. Chanton, T. Abichou, N. Swan, R. Green, and G. Hater. 2011. Methane emissions from 20 landfills across the United States using vertical radial plume mapping. J. Air Waste Manage. Assoc. 62 (2):183–97. doi:10.1080/10473289.2011.639480.
   Web of Science ®Google Scholar
• Golston, L. M., L. Tao, C. Brosy, K. Schäfer, B. Wolf, J. McSpiritt, … M. McGregor. 2017. Lightweight mid-infrared methane sensor for unmanned aerial systems. Appl. Phys. B 123 (6):170. doi:10.1007/s00340-017-6735-6.
   Web of Science ®Google Scholar
• Khan, A., D. Schaefer, L. Tao, D. J. Miller, K. Sun, M. A. Zondlo, … D. J. Lary. 2012. Low power greenhouse gas sensors for unmanned aerial vehicles. Remote Sens. 4 (5):1355–68. doi:10.3390/rs4051355.
   Google Scholar
• Kormi, T., N. Bel Hadj Ali, T. Abichou, and R. Green. 2017. Estimation of landfill methane emissions using stochastic search methods. Atmos. Pollut. Res. 8 (4):597–605. doi:10.1016/j.apr.2016.12.020.
   Web of Science ®Google Scholar
• Kormi, T., S. Mhadhebi, N. Bel Hadj Ali, T. Abichou, and R. Green. 2018. Estimation of fugitive landfill methane emissions using surface emission monitoring and Genetic Algorithms optimization. Waste Manage. 72:313–28. doi:10.1016/j.wasman.2016.11.024.
   PubMed Web of Science ®Google Scholar
• Mackie, K. R., and C. D. Cooper. 2009. Landfill gas emission prediction using Voronoi diagrams and importance sampling. Environ. Model. Softw. 24 (10):1223–32. doi:10.1016/j.envsoft.2009.04.003.
   Web of Science ®Google Scholar
• Mønster, J., P. Kjeldsen, and C. Scheutz. 2019. Methodologies for measuring fugitive methane emissions from landfills – A review. Waste Manage. 87:835–59. doi:10.1016/j.wasman.2018.12.047.
   PubMed Web of Science ®Google Scholar
• Mønster, J., J. Samuelsson, P. Kjeldsen, and C. Scheutz. 2015. Quantification of methane emissions from 15 Danish landfills using the mobile tracer dispersion method. Waste Manage. 35:177–86. doi:10.1016/j.wasman.2014.09.006.
   PubMed Web of Science ®Google Scholar
• Mønster, J. G., J. Samuelsson, P. Kjeldsen, C. W. Rella, and C. Scheutz. 2014. Quantifying methane emission from fugitive sources by combining tracer release and downwind measurements – A sensitivity analysis based on multiple field surveys. Waste Manage. 34 (8):1416–28. doi:10.1016/j.wasman.2014.03.025.
   PubMed Web of Science ®Google Scholar
• O’Connell, E., D. Risk, E. Atherton, E. Bourlon, C. Fougère, J. Baillie, … J. Johnson. 2019. Methane emissions from contrasting production regions within Alberta, Canada: Implications under incoming federal methane regulations. Elem. Sci. Anth. 7 (1):3.
   Google Scholar
• Oonk, H. 2010. Literature review: Methane from landfills. Innovations Environ. Technol. 75:40–48.
   Google Scholar
• Pasquill, F., and F. B. Smith. 1983. Atmospheric diffusion. Chichester, GB: Ellis Harwood.
   Google Scholar
• Scheutz, C., J. Samuelsson, A. M. Fredenslund, and P. Kjeldsen. 2011. Quantification of multiple methane emission sources at landfills using a double tracer technique. Waste Manage. 31 (5):1009–17. doi:10.1016/j.wasman.2011.01.015.
   PubMed Web of Science ®Google Scholar
• Shah, A., G. Allen, J. R. Pitt, H. Ricketts, P. I. Williams, J. Helmore, … M. Bourn. 2019. A near-field gaussian plume inversion flux quantification method, applied to unmanned aerial vehicle sampling. Atmosphere 10 (7):396. doi:10.3390/atmos10070396.
   Web of Science ®Google Scholar
• Thoma, E., R. Green, G. Hater, C. Goldsmith, N. Swan, M. Chase, and R. Hashmonay. 2010. Development of EPA OTM 10 for landfill applications. J. Environ. Eng. 136 (8):769–76. doi:10.1061/(ASCE)EE.1943-7870.0000157.
   Web of Science ®Google Scholar
• UNEP. (2018). Emissions Gap Report 2018, United Nations Environment Programme, Nairoubi.
   Google Scholar
• UNFCCC. 2015. The Paris agreement, United Nations framework convention on climate change. New York: United Nations.
   Google Scholar
• Yang, S., R. W. Talbot, M. B. Frish, L. M. Golston, N. F. Aubut, M. A. Zondlo, … J. McSpiritt. 2018. Natural gas fugitive leak detection using an unmanned aerial vehicle: Measurement system description and mass balance approach. Atmosphere 9 (10):383. doi:10.3390/atmos9100383.
   Web of Science ®Google Scholar
• Yang, X.-S. 2014. Chapter 5 - Genetic algorithms. In Nature-inspired optimization algorithms, ed. X.-S. Yang, 77–87. Oxford: Elsevier.
   Google Scholar