Point source influence on observed extreme pollution levels in a monitoring network

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dc.citation.firstpage191en_US
dc.citation.journalTitleAtmospheric Environmenten_US
dc.citation.lastpage198en_US
dc.citation.volumeNumber92en_US
dc.contributor.authorEnsor, Katherine B.en_US
dc.contributor.authorRay, Bonnie K.en_US
dc.contributor.authorCharlton, Sarah J.en_US
dc.date.accessioned2016-02-02T19:17:43Z
dc.date.available2016-02-02T19:17:43Z
dc.date.issued2014en_US
dc.description.abstractThis paper presents a strategy to quantify the influence major point sources in a region have on extreme pollution values observed at each of the monitors in the network. We focus on the number of hours in a day the levels at a monitor exceed a specified health threshold. The number of daily exceedances are modeled using observation-driven negative binomial time series regression models, allowing for a zero-inflation component to characterize the probability of no exceedances in a particular day. The spatial nature of the problem is addressed through the use of a Gaussian plume model for atmospheric dispersion computed at locations of known emissions, creating covariates that impact exceedances. In order to isolate the influence of emitters at individual monitors, we fit separate regression models to the series of counts from each monitor. We apply a final model clustering step to group monitor series that exhibit similar behavior with respect to mean, variability, and common contributors to support policy decision making. The methodology is applied to eight benzene pollution series measured at air quality monitors around the Houston ship channel, a major industrial port.en_US
dc.identifier.citationEnsor, Katherine B., Ray, Bonnie K. and Charlton, Sarah J.. "Point source influence on observed extreme pollution levels in a monitoring network." <i>Atmospheric Environment,</i> 92, (2014) Elsevier: 191-198. http://dx.doi.org/10.1016/j.atmosenv.2014.04.017.
dc.identifier.doihttp://dx.doi.org/10.1016/j.atmosenv.2014.04.017en_US
dc.identifier.urihttps://hdl.handle.net/1911/88300
dc.language.isoengen_US
dc.publisherElsevier
dc.rightsThis is an open access article under the CC BY-NC-ND license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en_US
dc.subject.keywordextreme pollutionen_US
dc.subject.keywordpoint sourceen_US
dc.subject.keywordcount regressionen_US
dc.subject.keywordzero inflationen_US
dc.subject.keywordmodel based clusteringen_US
dc.titlePoint source influence on observed extreme pollution levels in a monitoring networken_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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