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Evaluating oil and gas contributions to ambient nonmethane hydrocarbon mixing ratios and ozone-related metrics in the Colorado Front Range

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dc.contributor.authorLyu, Congmengen
dc.contributor.authorCapps, Shannon L.en
dc.contributor.authorKurashima, Kenten
dc.contributor.authorHenze, Daven K.en
dc.contributor.authorPierce, Gordonen
dc.contributor.authorHakami, Amiren
dc.contributor.authorZhao, Shunliuen
dc.contributor.authorResler, Jaroslaven
dc.contributor.authorCarmichael, Gregory R.en
dc.contributor.authorSandu, Adrianen
dc.contributor.authorRussell, Armistead G.en
dc.contributor.authorChai, Tianfengen
dc.contributor.authorMilford, Janaen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2021-05-26T14:11:01Zen
dc.date.available2021-05-26T14:11:01Zen
dc.date.issued2021-02-01en
dc.description.abstractRecently, oil and natural gas (O&NG) production activities in the Denver-Julesburg Basin have expanded rapidly. Associated nonmethane hydrocarbon (NMHC) emissions contribute to photochemical formation of ground-level ozone and include benzene as well as other hazardous air pollutants. Using positive matrix factorization (PMF) and chemical mass balance (CMB) methods, we estimate how much O&NG activities and other sources contribute to morning NMHC mixing ratios measured from 2013 to mid-2016 at a site in Platteville, CO, in the Denver-Julesburg Basin, and at a contrasting site in downtown Denver. A novel adjoint sensitivity analysis method is then used to estimate corresponding contributions to ozone and ozone-linked mortality in the Denver region. Average 6-9 am NMHC mixing ratios in Platteville were seven times higher than those in Denver in 2013 but four times higher in 2016. CMB estimates that O&NG activities contributed to the Platteville (Denver) site an average of 96% (56%) of NMHC on a carbon basis while PMF indicated 92% (33%). Average vehicle-related contributions of NMHC are estimated as 41% by CMB and 53% by PMF in Denver. Estimates of the fractional contribution to potential ozone and ozone-linked mortality from O&NG activities are smaller while those from vehicles are larger than the NMHC contributions. CMB (PMF) indicate that greater than 78% (40%) of annual average benzene in Denver is attributable to vehicle emissions while greater than 75% (67%) of benzene in Platteville is attributable to O&NG activities.en
dc.description.notesThis research was supported in part by the AirWaterGas Sustainability Research Network funded by the National Science Foundation under Grant No. CBET-1240584. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the author and do not necessarily reflect the views of the National Science Foundation. The authors have declared that no competing interests exist. The CDPHE North Front Range Ozone Precursor Monitoring data are available at https://www.colorado.gov/airquality/tech_doc_repository.aspx.The CMAQ adjoint model and inputs are available upon request from the corresponding author.en
dc.description.sponsorshipAirWaterGas Sustainability Research Network - National Science Foundation [CBET-1240584]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.atmosenv.2020.118113en
dc.identifier.eissn1873-2844en
dc.identifier.issn1352-2310en
dc.identifier.other118113en
dc.identifier.urihttp://hdl.handle.net/10919/103521en
dc.identifier.volume246en
dc.language.isoenen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectOil and natural gasen
dc.subjectNonmethane hydrocarbonen
dc.subjectGround-level ozoneen
dc.subjectPremature mortalityen
dc.subjectSource apportionmenten
dc.subjectAdjoint sensitivity analysisen
dc.titleEvaluating oil and gas contributions to ambient nonmethane hydrocarbon mixing ratios and ozone-related metrics in the Colorado Front Rangeen
dc.title.serialAtmospheric Environmenten
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Scholarly Works, Computer Science
Destination Area: Global Systems Science (GSS)
Scholarly Works, Computational Science Laboratory