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المؤلفAl-Naimi, Noora
المؤلفBalakrishnan, Perumal
المؤلفGoktepe, Ipek
تاريخ الإتاحة2017-05-07T06:25:03Z
تاريخ النشر2015-07-20
اسم المنشورAnnals of GIS
المعرّفhttp://dx.doi.org/10.1080/19475683.2015.1057225
الاقتباسNoora 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
الرقم المعياري الدولي للكتاب1947-5683
معرّف المصادر الموحدhttp://hdl.handle.net/10576/5481
الملخصIn 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.
راعي المشروعThe author would like to thank Qatar University for funding this study [QUST-CAS-FALL-12/13-19]
اللغةen
الناشرTaylor & Francis
العلاقةAl-Naimi, Noora Abdulla "Measurement and Modeling of NO2 Traffic-Related Air Pollution in Doha, Qatar" http://hdl.handle.net/10576/3270
الموضوعGIS
Air pollution
Qatar
Traffic-related
Air dispersion modelling
CALINE4
العنوانMeasurement and modelling of nitrogen dioxide (NO2) emissions: a marker for traffic-related air pollution in Doha, Qatar
النوعArticle
الصفحات249-259
رقم العدد3
رقم المجلد21
ESSN1947-5691


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