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Article: Assessment of traffic congestion in Hong Kong, and prediction of street-level CO concentration using a graphical screening method

TitleAssessment of traffic congestion in Hong Kong, and prediction of street-level CO concentration using a graphical screening method
Authors
KeywordsAir Pollution Modelling
Road Transport Related Air Pollution
Street Level Air Pollution Forecast
Issue Date1997
PublisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijep
Citation
International Journal Of Environment And Pollution, 1997, v. 8 n. 3-6, p. 628-637 How to Cite?
AbstractThe rapid growth in vehicle population and traffic volume in the past few years has offset the efforts of government to improve the poor traffic conditions in Hong Kong. This has intensified traffic congestion and hence the traffic-related pollution problems in the territory of Hong Kong, particularly in urban areas. Prediction was carried out using a simple graphical screening (SIMGS) method to project the future peak carbon monoxide (CO) levels at some black spots in urban areas. The output from the SIMGS method was found to agree well with the measured data and justified its use for forecasting the future air quality. The predicted results showed that the peak hourly CO concentration at street level would follow an upward path in the next decade, but would still be within the Hong Kong Air Quality Objective limit. However, in assessing the effectiveness of a fuel switching proposal, it was found that there would be a significant increase in CO concentration in the next decade.
Persistent Identifierhttp://hdl.handle.net/10722/156473
ISSN
2023 Impact Factor: 0.5
2023 SCImago Journal Rankings: 0.187
References

 

DC FieldValueLanguage
dc.contributor.authorLeung, DYCen_US
dc.contributor.authorLee, BCHen_US
dc.contributor.authorWong, DMHen_US
dc.date.accessioned2012-08-08T08:42:33Z-
dc.date.available2012-08-08T08:42:33Z-
dc.date.issued1997en_US
dc.identifier.citationInternational Journal Of Environment And Pollution, 1997, v. 8 n. 3-6, p. 628-637en_US
dc.identifier.issn0957-4352en_US
dc.identifier.urihttp://hdl.handle.net/10722/156473-
dc.description.abstractThe rapid growth in vehicle population and traffic volume in the past few years has offset the efforts of government to improve the poor traffic conditions in Hong Kong. This has intensified traffic congestion and hence the traffic-related pollution problems in the territory of Hong Kong, particularly in urban areas. Prediction was carried out using a simple graphical screening (SIMGS) method to project the future peak carbon monoxide (CO) levels at some black spots in urban areas. The output from the SIMGS method was found to agree well with the measured data and justified its use for forecasting the future air quality. The predicted results showed that the peak hourly CO concentration at street level would follow an upward path in the next decade, but would still be within the Hong Kong Air Quality Objective limit. However, in assessing the effectiveness of a fuel switching proposal, it was found that there would be a significant increase in CO concentration in the next decade.en_US
dc.languageengen_US
dc.publisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijepen_US
dc.relation.ispartofInternational Journal of Environment and Pollutionen_US
dc.rightsInternational Journal of Environment and Pollution. Copyright © Inderscience Publishers.-
dc.subjectAir Pollution Modellingen_US
dc.subjectRoad Transport Related Air Pollutionen_US
dc.subjectStreet Level Air Pollution Forecasten_US
dc.titleAssessment of traffic congestion in Hong Kong, and prediction of street-level CO concentration using a graphical screening methoden_US
dc.typeArticleen_US
dc.identifier.emailLeung, DYC:ycleung@hku.hken_US
dc.identifier.authorityLeung, DYC=rp00149en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1504/IJEP.1997.028214-
dc.identifier.scopuseid_2-s2.0-0031357753en_US
dc.identifier.hkuros31918-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0031357753&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume8en_US
dc.identifier.issue3-6en_US
dc.identifier.spage628en_US
dc.identifier.epage637en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLeung, DYC=7203002484en_US
dc.identifier.scopusauthoridLee, BCH=7405442592en_US
dc.identifier.scopusauthoridWong, DMH=7401535738en_US
dc.identifier.issnl0957-4352-

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