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Estimating CO2 Emissions from Subsurface Coal Fires

Ide, S. Taku and Künzer, Claudia and Orr, Franklin (2018) Estimating CO2 Emissions from Subsurface Coal Fires. In: Exploring Natural Hazards, A Case Study Approach Chapman and Hall/CRC. pp. 225-250. ISBN 978-1138054424.

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Official URL: https://www.taylorfrancis.com/books/9781351681230


Underground coal fires can burn for decades or more, and can pose serious health and environmental risks. These fires also contribute to global CO2 emissions. Methods to estimate the rate of CO2 emissions is an active research area. In this chapter, a number of methods to quantify this rate are discussed. Rate of emissions over large scale fires may be most efficiently quantified using remote sensing methods. These methods calculate coal consumption and CO2 emissions rates using infrared satellite images. On an individual fire scale, direct measurement techniques are appropriate. Three independent approaches to quantify the rate of CO2 emission from a coal fire in Colorado, USA, are presented.

Item URL in elib:https://elib.dlr.de/121336/
Document Type:Book Section
Title:Estimating CO2 Emissions from Subsurface Coal Fires
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ide, S. TakuKoveva Ltd., Basalt, Colorado, USAUNSPECIFIEDUNSPECIFIED
Orr, FranklinStanford University, Stanford, California, USAUNSPECIFIEDUNSPECIFIED
Date:13 March 2018
Journal or Publication Title:Exploring Natural Hazards, A Case Study Approach
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 225-250
EditorsEmailEditor's ORCID iDORCID Put Code
Bartlett, DariusUniversity College Cork, IrelandUNSPECIFIEDUNSPECIFIED
Singh, RameshChapman University, USAUNSPECIFIEDUNSPECIFIED
Publisher:Chapman and Hall/CRC
Keywords:Earth Observation, Natural Hazards, Remote Sensing, CO2 Emissions
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Varga, Monica-Marieta
Deposited On:10 Sep 2018 10:31
Last Modified:10 Sep 2018 10:31

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