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- Publisher Website: 10.1016/j.scitotenv.2019.03.224
- Scopus: eid_2-s2.0-85063113663
- PMID: 30909046
- WOS: WOS:000464681800069
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Article: Vertical monitoring of traffic-related air pollution (TRAP) in urban street canyons of Hong Kong
Title | Vertical monitoring of traffic-related air pollution (TRAP) in urban street canyons of Hong Kong |
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Authors | |
Keywords | Air pollution Vertical dispersion Canyon monitoring Spatial analysis Infiltration efficiencies |
Issue Date | 2019 |
Publisher | Elsevier 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? |
Abstract | Rapid 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 Identifier | http://hdl.handle.net/10722/271176 |
ISSN | 2023 Impact Factor: 8.2 2023 SCImago Journal Rankings: 1.998 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wong, PPY | - |
dc.contributor.author | Lai, PC | - |
dc.contributor.author | Allen, R | - |
dc.contributor.author | CHENG, W | - |
dc.contributor.author | Lee, M | - |
dc.contributor.author | Tsui, A | - |
dc.contributor.author | Tang, R | - |
dc.contributor.author | Thach, TQ | - |
dc.contributor.author | Tian, L | - |
dc.contributor.author | Brauer, M | - |
dc.contributor.author | Barratt, B | - |
dc.date.accessioned | 2019-06-24T01:04:48Z | - |
dc.date.available | 2019-06-24T01:04:48Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Science of the Total Environment, 2019, v. 670, p. 696-703 | - |
dc.identifier.issn | 0048-9697 | - |
dc.identifier.uri | http://hdl.handle.net/10722/271176 | - |
dc.description.abstract | Rapid 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.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/scitotenv | - |
dc.relation.ispartof | Science of the Total Environment | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Air pollution | - |
dc.subject | Vertical dispersion | - |
dc.subject | Canyon monitoring | - |
dc.subject | Spatial analysis | - |
dc.subject | Infiltration efficiencies | - |
dc.title | Vertical monitoring of traffic-related air pollution (TRAP) in urban street canyons of Hong Kong | - |
dc.type | Article | - |
dc.identifier.email | Lai, PC: pclai@hku.hk | - |
dc.identifier.email | Thach, TQ: thach@hku.hk | - |
dc.identifier.email | Tian, L: linweit@hku.hk | - |
dc.identifier.authority | Lai, PC=rp00565 | - |
dc.identifier.authority | Thach, TQ=rp00450 | - |
dc.identifier.authority | Tian, L=rp01991 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.scitotenv.2019.03.224 | - |
dc.identifier.pmid | 30909046 | - |
dc.identifier.scopus | eid_2-s2.0-85063113663 | - |
dc.identifier.hkuros | 298208 | - |
dc.identifier.volume | 670 | - |
dc.identifier.spage | 696 | - |
dc.identifier.epage | 703 | - |
dc.identifier.isi | WOS:000464681800069 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0048-9697 | - |