Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Attribution of methane point source emissions using airborne imaging spectroscopy and the Vista-California methane infrastructure dataset

Bibliographic Data

ID15550698
AuthorsTalha Rafiq (0000-0003-1348-3219, University of California, Riverside, corresponding author), Riley Duren (0000-0003-4723-5280, University of Arizona), Andrew K Thorpe (0000-0001-7968-5433, Jet Propulsion Laboratory), Kelsey Foster (0000-0002-2471-7319, Stanford University), Risa Patarsuk, Charles E Miller (0000-0002-9380-4838, Jet Propulsion Laboratory), F M Hopkins (0000-0002-6110-7675, University of California, Riverside)
Year2020
Volume15
Issue12
Pages124001-124001
Publication date2020-06-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab9af8
OpenAlexW3035677340
LanguageEN
Citations received2
References cited21

Methane (CH _4 ), an important greenhouse gas and pollutant, has been targeted for mitigation. Our recent California airborne survey identified >500 CH _4 point source super-emitters, which accounted for 34%–46% of the statewide CH _4 emissions inventory for 2016 (Duren et al 2019 Nature 575 180–184). Individual plumes were observed in close proximity to expected methane emitting infrastructure, including gas storage facilities, hydrocarbon storage tanks, landfills, dairy lagoons, and pipeline leaks. In order to systematically attribute these plumes to their sources, we developed Vista-CA a geospatial database, that contains more than 900 000 validated CH _4 infrastructure elements in the state of California. In parallel, we developed a complimentary algorithm that attributes any individual CH _4 plume observation to the most likely Vista-CA source with 99% accuracy. The present study illustrates the capabilities of the Vista-CA CH _4 database along with the Airborne Visible/Infrared Imaging Spectrometer—Next Generation airborne CH _4 retrievals to locate and attribute CH _4 point sources to specific economic sectors to improve the state CH _4 budget and identify mitigation targets

Geography · Geospatial analysis · Greenhouse gas · Meteorology · Methane · Methane emissions · Natural gas · Plume · Point source · Remote sensing · Waste management · Atmospheric and Environmental Gas Dynamics · Chemistry · Engineering · Environmental Science · Geochemistry and Geologic Mapping · Hydrocarbon exploration and reservoir analysis · Geology

  • Evaluating the impact of anaerobic digesters on point source methane emissions from California dairies from remote sensing

    Open Access•Alyssa Valdez, Riley Duren et al.•Environmental Research Letters•2026

  • Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation

    Open Access•Marvin Knapp, Leon Scheidweiler et al.•Environmental Research Letters•2023

  • Methane source attribution in a U.S. dry gas basin using spatial patterns of ground and airborne ethane and methane measurements

    Open Access•Ingrid Mielke-Maday, Stefan Schwietzke et al.•Elementa Science of the…•2019

  • Using remote sensing to detect, validate, and quantify methane emissions from California solid waste operations

    Open Access•Daniel Cusworth, Riley Duren et al.•Environmental Research Letters•2020

  • Methane emissions from underground gas storage in California

    Open Access•Andrew K Thorpe, Riley Duren et al.•Environmental Research Letters•2020

  • Drivers of increasing global crop production

    Open Access•Linus Blomqvist, Luke A Yates et al.•Environmental Research Letters•2020

  • Deep learning to map concentrated animal feeding operations

    Open Access•Cassandra Handan‐nader, Daniel E Ho•Nature Sustainability•2019

Unique citing works2
Citations per year0,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae