Literature DB >> 29329657

The development and trial of an unmanned aerial system for the measurement of methane flux from landfill and greenhouse gas emission hotspots.

Grant Allen1, Peter Hollingsworth2, Khristopher Kabbabe2, Joseph R Pitt3, Mohammed I Mead3, Samuel Illingworth3, Gareth Roberts2, Mark Bourn4, Dudley E Shallcross5, Carl J Percival3.   

Abstract

This paper describes the development of a new sampling and measurement method to infer methane flux using proxy measurements of CO2 concentration and wind data recorded by Unmanned Aerial Systems (UAS). The flux method described and trialed here is appropriate to the spatial scale of landfill sites and analogous greenhouse gas emission hotspots, making it an important new method for low-cost and rapid case study quantification of fluxes from currently uncertain (but highly important) greenhouse gas sources. We present a case study using these UAS-based measurements to derive instantaneous methane fluxes from a test landfill site in the north of England using a mass balance model tailored for UAS sampling and co-emitted CO2 concentration as a methane-emission proxy. Methane flux (and flux uncertainty) during two trials on 27 November 2014 and 5 March 2015, were found to be 0.140 kg s-1 (±61% at 1σ), and 0.050 kg s-1 (±54% at 1σ), respectively. Uncertainty contributing to the flux was dominated by ambient variability in the background (inflow) concentration (>40%) and wind speed (>10%); with instrumental error contributing only ∼1-2%. The approach described represents an important advance concerning the challenging problem of greenhouse gas hotspot flux calculation, and offers transferability to a wide range of analogous environments. This new measurement solution could add to a toolkit of approaches to better validate source-specific greenhouse emissions inventories - an important new requirement of the UNFCCC COP21 (Paris) climate change agreement.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Greenhouse gases; Hotspots; Methane flux; Unmanned Aerial Systems

Mesh:

Substances:

Year:  2018        PMID: 29329657     DOI: 10.1016/j.wasman.2017.12.024

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  6 in total

1.  Landfill air and odour emissions from an integrated waste management facility.

Authors:  Omowonuola Olubukola Sonibare; Jamiu Adetayo Adeniran; Ibrahim Sebutu Bello
Journal:  J Environ Health Sci Eng       Date:  2019-03-07

2.  Estimating Regional Methane Emission Factors from Energy and Agricultural Sector Sources Using a Portable Measurement System: Case Study of the Denver-Julesburg Basin.

Authors:  Stuart N Riddick; Fancy Cheptonui; Kexin Yuan; Mercy Mbua; Rachel Day; Timothy L Vaughn; Aidan Duggan; Kristine E Bennett; Daniel J Zimmerle
Journal:  Sensors (Basel)       Date:  2022-09-29       Impact factor: 3.847

3.  Quantification of landfill gas emissions and energy production potential in Tirupati Municipal solid waste disposal site by LandGEM mathematical model.

Authors:  C Ramprasad; Hari Charan Teja; Vunnam Gowtham; Varadam Vikas
Journal:  MethodsX       Date:  2022-09-20

4.  Smelling Nano Aerial Vehicle for Gas Source Localization and Mapping.

Authors:  Javier Burgués; Victor Hernández; Achim J Lilienthal; Santiago Marco
Journal:  Sensors (Basel)       Date:  2019-01-24       Impact factor: 3.576

5.  Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems.

Authors:  Benjamin Martinez; Thomas W Miller; Azer P Yalin
Journal:  Sensors (Basel)       Date:  2020-01-14       Impact factor: 3.576

6.  Methods for quantifying methane emissions using unmanned aerial vehicles: a review.

Authors:  Jacob T Shaw; Adil Shah; Han Yong; Grant Allen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-09-27       Impact factor: 4.226

  6 in total

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