Mixed deterministic statistical modelling of regional ozone air pollution

Handle URI:
http://hdl.handle.net/10754/561733
Title:
Mixed deterministic statistical modelling of regional ozone air pollution
Authors:
Kalenderski, Stoitchko Dimitrov; Steyn, Douw G.
Abstract:
We develop a physically motivated statistical model for regional ozone air pollution by separating the ground-level pollutant concentration field into three components, namely: transport, local production and large-scale mean trend mostly dominated by emission rates. The model is novel in the field of environmental spatial statistics in that it is a combined deterministic-statistical model, which gives a new perspective to the modelling of air pollution. The model is presented in a Bayesian hierarchical formalism, and explicitly accounts for advection of pollutants, using the advection equation. We apply the model to a specific case of regional ozone pollution-the Lower Fraser valley of British Columbia, Canada. As a predictive tool, we demonstrate that the model vastly outperforms existing, simpler modelling approaches. Our study highlights the importance of simultaneously considering different aspects of an air pollution problem as well as taking into account the physical bases that govern the processes of interest. © 2011 John Wiley & Sons, Ltd..
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Publisher:
Wiley
Journal:
Environmetrics
Issue Date:
17-Mar-2011
DOI:
10.1002/env.1088
Type:
Article
ISSN:
11804009
Sponsors:
This work was funded by grants to DGS from NSERC and CFCAS. Metro Vancouver graciously provided us with access to all their monitoring data. Without substantial guidance from Jim Zidek, and help with software from Anne McMillan, this work would have been far more difficult to execute.
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKalenderski, Stoitchko Dimitroven
dc.contributor.authorSteyn, Douw G.en
dc.date.accessioned2015-08-03T09:03:22Zen
dc.date.available2015-08-03T09:03:22Zen
dc.date.issued2011-03-17en
dc.identifier.issn11804009en
dc.identifier.doi10.1002/env.1088en
dc.identifier.urihttp://hdl.handle.net/10754/561733en
dc.description.abstractWe develop a physically motivated statistical model for regional ozone air pollution by separating the ground-level pollutant concentration field into three components, namely: transport, local production and large-scale mean trend mostly dominated by emission rates. The model is novel in the field of environmental spatial statistics in that it is a combined deterministic-statistical model, which gives a new perspective to the modelling of air pollution. The model is presented in a Bayesian hierarchical formalism, and explicitly accounts for advection of pollutants, using the advection equation. We apply the model to a specific case of regional ozone pollution-the Lower Fraser valley of British Columbia, Canada. As a predictive tool, we demonstrate that the model vastly outperforms existing, simpler modelling approaches. Our study highlights the importance of simultaneously considering different aspects of an air pollution problem as well as taking into account the physical bases that govern the processes of interest. © 2011 John Wiley & Sons, Ltd..en
dc.description.sponsorshipThis work was funded by grants to DGS from NSERC and CFCAS. Metro Vancouver graciously provided us with access to all their monitoring data. Without substantial guidance from Jim Zidek, and help with software from Anne McMillan, this work would have been far more difficult to execute.en
dc.publisherWileyen
dc.subjectAdvection equationen
dc.subjectBayesian hierarchical modellingen
dc.subjectGibbs samplingen
dc.subjectSpatiotemporal processesen
dc.titleMixed deterministic statistical modelling of regional ozone air pollutionen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalEnvironmetricsen
dc.contributor.institutionAtmospheric Science Program, Department of Earth and Ocean Sciences, The University of British Columbia, Vancouver, BC V6T 1Z4, Canadaen
kaust.authorKalenderski, Stoitchko Dimitroven
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