SIBaR: a new method for background quantification and removal from mobile air pollution measurements

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dc.citation.firstpage5809en_US
dc.citation.journalTitleAtmospheric Measurement Techniquesen_US
dc.citation.lastpage5821en_US
dc.citation.volumeNumber14en_US
dc.contributor.authorActkinson, Blakeen_US
dc.contributor.authorEnsor, Katherineen_US
dc.contributor.authorGriffin, Robert J.en_US
dc.date.accessioned2021-09-21T15:37:47Zen_US
dc.date.available2021-09-21T15:37:47Zen_US
dc.date.issued2021en_US
dc.description.abstractMobile monitoring is becoming increasingly popular for characterizing air pollution on fine spatial scales. In identifying local source contributions to measured pollutant concentrations, the detection and quantification of background are key steps in many mobile monitoring studies, but the methodology to do so requires further development to improve replicability. Here we discuss a new method for quantifying and removing background in mobile monitoring studies, State-Informed Background Removal (SIBaR). The method employs hidden Markov models (HMMs), a popular modeling technique that detects regime changes in time series. We discuss the development of SIBaR and assess its performance on an external dataset. We find 83 % agreement between the predictions made by SIBaR and the predetermined allocation of background and non-background data points. We then assess its application to a dataset collected in Houston by mapping the fraction of points designated as background and comparing source contributions to those derived using other published background detection and removal techniques. The presented results suggest that the SIBaR-modeled source contributions contain source influences left undetected by other techniques, but that they are prone to unrealistic source contribution estimates when they extrapolate. Results suggest that SIBaR could serve as a framework for improved background quantification and removal in future mobile monitoring studies while ensuring that cases of extrapolation are appropriately addressed.en_US
dc.identifier.citationActkinson, Blake, Ensor, Katherine and Griffin, Robert J.. "SIBaR: a new method for background quantification and removal from mobile air pollution measurements." <i>Atmospheric Measurement Techniques,</i> 14, (2021) European Geosciences Union: 5809-5821. https://doi.org/10.5194/amt-14-5809-2021.en_US
dc.identifier.digitalamt-14-5809-2021en_US
dc.identifier.doihttps://doi.org/10.5194/amt-14-5809-2021en_US
dc.identifier.urihttps://hdl.handle.net/1911/111381en_US
dc.language.isoengen_US
dc.publisherEuropean Geosciences Unionen_US
dc.rightsThis work is distributed under the Creative Commons Attribution 4.0 License.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleSIBaR: a new method for background quantification and removal from mobile air pollution measurementsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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