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dc.contributor.authorDaniels, William
dc.contributor.authorHammerling, Dorit
dc.contributor.authorBazilian, Morgan
dc.date.accessioned2024-03-27T22:15:56Z
dc.date.available2024-03-27T22:15:56Z
dc.date.issued2024-03-27
dc.identifier.urihttps://hdl.handle.net/11124/178849
dc.identifier.urihttps://doi.org/10.25676/11124/178849
dc.description.abstractPayne Institute Student Researcher William Daniels, Faculty Fellow Dorit Hammerling, and Director Morgan Bazilian write about how reducing methane emissions is a key component of short-term climate action. Empirical data and transparent models are key pillars of emission reduction efforts. Payne Institute researchers William Daniels, Meng Jia, and Dorit Hammerling have developed a completely open-source analytical framework for detecting single-source methane emissions, determining the source location, and estimating an emission rate using data from continuous monitoring systems (CMS).
dc.format.mediumcommentaries
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartofPublications - Payne Institute
dc.relation.ispartofPayne Institute Commentary Series: Commentary
dc.rightsCopyright of the original work is retained by the authors.
dc.titleNew method for tracking down methane emissions on oil and gas sites
dc.typeText
dc.contributor.institutionColorado School of Mines. Payne Institute for Public Policy
dc.publisher.originalPayne Institute for Public Policy


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