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AuthorAl-Naimi, Noora
AuthorBalakrishnan, Perumal
AuthorGoktepe, Ipek
Available date2017-05-07T06:25:03Z
Publication Date2015-07-20
Publication NameAnnals of GISen_US
Identifierhttp://dx.doi.org/10.1080/19475683.2015.1057225
CitationNoora Al-Naimi, Perumal Balakrishnan & Ipek Goktepe (2015) "Measurement and modelling of nitrogen dioxide (NO2) emissions: a marker for traffic-related air pollution in Doha, Qatar", Annals of GIS, 21:3, 249-259
ISSN1947-5683
URIhttp://hdl.handle.net/10576/5481
AbstractIn the State of Qatar, recent statistics show a continued increase in the motor-vehicle fleet commensurate with population growth and economic development. This trend, together with the rapid expansion of urban areas and the increased dependence on automobiles, has resulted in an increase in pollution near traffic sources, indicating that the risk of exposure to vehicles’ emissions is higher and that these emissions must be considered in terms of their spatial and temporal occurrence. So far, there are no studies conducted in Qatar to evaluate the traffic-related air pollution. This study is carried out to monitor the levels of nitrogen dioxide (NO2) as a marker of pollution related to traffic. The aim of this study is to build a baseline for traffic-related pollution in Qatar by monitoring and modelling NO2 emissions. The levels of traffic-related air pollution by NO2 were investigated at six major intersections along the C-ring road. The relationship of NO2 was established with traffic volume in each intersection during December 2012 and March–April 2013. Significant differences were established between the pollutant concentrations in each intersection. The CALifornia LINE Source Dispersion Model, version 4 air dispersion model employed had estimated the influence of the measured NO2 concentration on the predicted NO2 values by 31.12%. The low percentage may have accounted for the uncertainties brought by the vehicle emission factor and non-availability of temporal dynamics during the time of sampling. Non-parametric Spearman’s correlation test resulted in a significant correlation between measured and predicted values of NO2 concentrations, rs = 0.525 and p = 0.012.
SponsorThe author would like to thank Qatar University for funding this study [QUST-CAS-FALL-12/13-19]
Languageen
PublisherTaylor & Francis
RelationAl-Naimi, Noora Abdulla "Measurement and Modeling of NO2 Traffic-Related Air Pollution in Doha, Qatar" http://hdl.handle.net/10576/3270
SubjectGIS
SubjectAir pollution
SubjectQatar
SubjectTraffic-related
SubjectAir dispersion modelling
SubjectCALINE4
TitleMeasurement and modelling of nitrogen dioxide (NO2) emissions: a marker for traffic-related air pollution in Doha, Qatar
TypeArticle
Pagination249-259
Issue Number3
Volume Number21
dc.identifier.essn 1947-5691


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