UAV-based methane emission quantification at a UK landfill site

Han Yong; Grant Allen; Hugo Ricketts

doi:10.5194/egusphere-egu23-7229

UAV-based methane emission quantification at a UK landfill site

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Abstract

A field campaign using UAV-based measurements to derive methane fluxes from a large landfill site in North Manchester was conducted in the summer of 2022. The system comprises the newly developed ABB lightweight (3kg) Hoverguard greenhouse gas analyser based on the off-Axis Integrated Cavity Output Spectroscopy (with a precision of 0.9 ppb for CH4 at 1 Hz), an on-board TriSonica™ Mini wind sensor and the DJI M600 pro hexacopter. Fluxes and corresponding flux uncertainties were calculated using the mass-balance method from 6 flight surveys conducted downwind of the active landfill. Accurate and reliable wind measurements sampled from instrumentation onboard rotary-wing UAVs remains a challenge, which was found to dominate flux uncertainty in this study. This study presents a low-cost and repeatable methodology for hotspot methane emission quantification.

Original language	English
Media of output	Conference
DOIs	https://doi.org/10.5194/egusphere-egu23-7229
Publication status	Published - 25 Feb 2023

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10.5194/egusphere-egu23-7229

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title = "UAV-based methane emission quantification at a UK landfill site",

abstract = "A field campaign using UAV-based measurements to derive methane fluxes from a large landfill site in North Manchester was conducted in the summer of 2022. The system comprises the newly developed ABB lightweight (3kg) Hoverguard greenhouse gas analyser based on the off-Axis Integrated Cavity Output Spectroscopy (with a precision of 0.9 ppb for CH4 at 1 Hz), an on-board TriSonica{\texttrademark} Mini wind sensor and the DJI M600 pro hexacopter. Fluxes and corresponding flux uncertainties were calculated using the mass-balance method from 6 flight surveys conducted downwind of the active landfill. Accurate and reliable wind measurements sampled from instrumentation onboard rotary-wing UAVs remains a challenge, which was found to dominate flux uncertainty in this study. This study presents a low-cost and repeatable methodology for hotspot methane emission quantification.",

author = "Han Yong and Grant Allen and Hugo Ricketts",

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AU - Allen, Grant

AU - Ricketts, Hugo

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N2 - A field campaign using UAV-based measurements to derive methane fluxes from a large landfill site in North Manchester was conducted in the summer of 2022. The system comprises the newly developed ABB lightweight (3kg) Hoverguard greenhouse gas analyser based on the off-Axis Integrated Cavity Output Spectroscopy (with a precision of 0.9 ppb for CH4 at 1 Hz), an on-board TriSonica™ Mini wind sensor and the DJI M600 pro hexacopter. Fluxes and corresponding flux uncertainties were calculated using the mass-balance method from 6 flight surveys conducted downwind of the active landfill. Accurate and reliable wind measurements sampled from instrumentation onboard rotary-wing UAVs remains a challenge, which was found to dominate flux uncertainty in this study. This study presents a low-cost and repeatable methodology for hotspot methane emission quantification.

AB - A field campaign using UAV-based measurements to derive methane fluxes from a large landfill site in North Manchester was conducted in the summer of 2022. The system comprises the newly developed ABB lightweight (3kg) Hoverguard greenhouse gas analyser based on the off-Axis Integrated Cavity Output Spectroscopy (with a precision of 0.9 ppb for CH4 at 1 Hz), an on-board TriSonica™ Mini wind sensor and the DJI M600 pro hexacopter. Fluxes and corresponding flux uncertainties were calculated using the mass-balance method from 6 flight surveys conducted downwind of the active landfill. Accurate and reliable wind measurements sampled from instrumentation onboard rotary-wing UAVs remains a challenge, which was found to dominate flux uncertainty in this study. This study presents a low-cost and repeatable methodology for hotspot methane emission quantification.

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DO - 10.5194/egusphere-egu23-7229

M3 - Other contribution

ER -

UAV-based methane emission quantification at a UK landfill site

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