Attribution of methane point source emissions using airborne imaging spectroscopy and the Vista-California methane infrastructure dataset
Environmental Research Letters, ISSN: 1748-9326, Vol: 15, Issue: 12
2020
- 9Citations
- 26Captures
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Article Description
Methane (CH4), an important greenhouse gas and pollutant, has been targeted for mitigation. Our recent California airborne survey identified >500 CH4 point source super-emitters, which accounted for 34%-46% of the statewide CH4 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 CH4 infrastructure elements in the state of California. In parallel, we developed a complimentary algorithm that attributes any individual CH4 plume observation to the most likely Vista-CA source with 99% accuracy. The present study illustrates the capabilities of the Vista-CA CH4 database along with the Airborne Visible/Infrared Imaging Spectrometer - Next Generation airborne CH4 retrievals to locate and attribute CH4 point sources to specific economic sectors to improve the state CH4 budget and identify mitigation targets.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85096928524&origin=inward; http://dx.doi.org/10.1088/1748-9326/ab9af8; https://iopscience.iop.org/article/10.1088/1748-9326/ab9af8; https://iopscience.iop.org/article/10.1088/1748-9326/ab9af8/pdf; https://dx.doi.org/10.1088/1748-9326/ab9af8; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=5ded1d6a-3e7d-4ac1-b08d-7e87697aae44&ssb=61878211834&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1748-9326%2Fab9af8&ssi=4703e1a4-cnvj-4173-bf42-f689fe219114&ssk=botmanager_support@radware.com&ssm=85158994053579032231554223913624898&ssn=807e81f36088199ac4d760bfd4a69320a3992617fe85-f716-4004-bf2df1&sso=6e23c3eb-7b570d50c5e3c7ee9c6d8f154b8ff4c46f61f97daac9fc16&ssp=27124346011726063505172625953545923&ssq=97803424229562610668677985558551585991331&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJ1em14IjoiN2Y5MDAwYzFkZTEzNzktNTg3Yi00ZmNlLTgyOTMtNjUwMDdhZTEwM2E1My0xNzI2MDc3OTg1NDI3MTY0MzA5ODUzLWUyZTI3MmVlYzZjZWM5MjIyMzE1MiIsIl9fdXptZiI6IjdmNjAwMDZjMTgzZGM2LWE5ZDAtNDM3NS05N2FlLTljNmQxMGYxMzQwMDE3MjYwNzc5ODU0MjcxNjQzMDk4NTMtOWFmMGJjMTAxNDY5MDEwMjIzMTU1IiwicmQiOiJpb3Aub3JnIn0=
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