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Article: Vertical monitoring of traffic-related air pollution (TRAP) in urban street canyons of Hong Kong

TitleVertical monitoring of traffic-related air pollution (TRAP) in urban street canyons of Hong Kong
Authors
KeywordsAir pollution
Vertical dispersion
Canyon monitoring
Spatial analysis
Infiltration efficiencies
Issue Date2019
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/scitotenv
Citation
Science of the Total Environment, 2019, v. 670, p. 696-703 How to Cite?
AbstractRapid urbanization has significantly increased air pollution especially in urban regions with high traffic volumes. Existing methods for estimating traffic-related air pollution (TRAP) and TRAP-related health impacts are based on two-dimensional modelling. This paper describes a point-based methodology to monitor vertical pollutant concentrations in typical street canyons of Hong Kong. It explains the conceptual design, monitoring strategy and selection criteria for a limited number of receptor locations in street canyons to undertake field measurements for both outdoor exposure and indoor infiltration. It also expounds on the limitations and complications associated with field instrumentation and retention of participating home units. The empirical results were applied on the building infiltration efficiencies assessment. It is concluded that the cost-effective field methodology developed in this paper expects to strike a balance between exposure error and limited data locations. These findings will have important implications in future monitoring design of vertical TRAP exposure to support health studies.
Persistent Identifierhttp://hdl.handle.net/10722/271176
ISSN
2017 Impact Factor: 4.61
2015 SCImago Journal Rankings: 1.702

 

DC FieldValueLanguage
dc.contributor.authorWong, PPY-
dc.contributor.authorLai, PC-
dc.contributor.authorAllen, R-
dc.contributor.authorCHENG, W-
dc.contributor.authorLee, M-
dc.contributor.authorTsui, A-
dc.contributor.authorTang, R-
dc.contributor.authorThach, TQ-
dc.contributor.authorTian, L-
dc.contributor.authorBrauer, M-
dc.contributor.authorBarratt, B-
dc.date.accessioned2019-06-24T01:04:48Z-
dc.date.available2019-06-24T01:04:48Z-
dc.date.issued2019-
dc.identifier.citationScience of the Total Environment, 2019, v. 670, p. 696-703-
dc.identifier.issn0048-9697-
dc.identifier.urihttp://hdl.handle.net/10722/271176-
dc.description.abstractRapid urbanization has significantly increased air pollution especially in urban regions with high traffic volumes. Existing methods for estimating traffic-related air pollution (TRAP) and TRAP-related health impacts are based on two-dimensional modelling. This paper describes a point-based methodology to monitor vertical pollutant concentrations in typical street canyons of Hong Kong. It explains the conceptual design, monitoring strategy and selection criteria for a limited number of receptor locations in street canyons to undertake field measurements for both outdoor exposure and indoor infiltration. It also expounds on the limitations and complications associated with field instrumentation and retention of participating home units. The empirical results were applied on the building infiltration efficiencies assessment. It is concluded that the cost-effective field methodology developed in this paper expects to strike a balance between exposure error and limited data locations. These findings will have important implications in future monitoring design of vertical TRAP exposure to support health studies.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/scitotenv-
dc.relation.ispartofScience of the Total Environment-
dc.subjectAir pollution-
dc.subjectVertical dispersion-
dc.subjectCanyon monitoring-
dc.subjectSpatial analysis-
dc.subjectInfiltration efficiencies-
dc.titleVertical monitoring of traffic-related air pollution (TRAP) in urban street canyons of Hong Kong-
dc.typeArticle-
dc.identifier.emailLai, PC: pclai@hku.hk-
dc.identifier.emailThach, TQ: thach@hku.hk-
dc.identifier.emailTian, L: linweit@hku.hk-
dc.identifier.authorityLai, PC=rp00565-
dc.identifier.authorityThach, TQ=rp00450-
dc.identifier.authorityTian, L=rp01991-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.scitotenv.2019.03.224-
dc.identifier.pmid30909046-
dc.identifier.scopuseid_2-s2.0-85063113663-
dc.identifier.hkuros298208-
dc.identifier.volume670-
dc.identifier.spage696-
dc.identifier.epage703-
dc.publisher.placeNetherlands-

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