The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran

The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran Publisher

Dehghani MH^{1, 2} ; Jarahzadeh S³ ; Hadei M¹ ; Mansouri N³ ; Rashidi Y³ ; Yousefi M¹

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1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2. Institute for Environmental Research, Center for Solid Waste Research, Tehran University of Medical Sciences, Tehran, Iran
3. Islamic Azad University, Science and Research Campus, Department of Environmental Engineering, Tehran, Iran

Source: Data in Brief Published:2018

Abstract

CALINE3 model predicts the dispersion of pollutants released from roadways in the receptor places at a certain radius from the source. This model was used to evaluate the dispersion of particulate matter < 2.5 µm (PM10) and carbon monoxide (CO) emitted from Yadegar-e-Emam Expressway (YEE) as one of the most congested highways in Tehran. The hourly concentrations of PM10 and CO, and the count and speed of vehicles were obtained from Tehran׳s Air Quality Control Company (TAQCC). Wind speed and direction, the height of mixing zone, air temperature, relative humidity, and stability class were acquired from IRAN Meteorological Organization (IRIMO). The emission factors (EF) of vehicles were acquired from those proposed for UK. The dispersion of PM10 and CO was predicted over the nearby area, and the modeled concentrations were estimated for a specific point, where an air quality monitoring station was working. The major portion of PM10 and CO released by vehicles in YEE was dispersed to the east. The comparison between the modeled and measured concentrations revealed that CALINE3 underestimates the concentrations of PM10 and CO by about 50%. © 2018 The Authors

Style	Citing Format
MLA	Dehghani MH, et al.. "The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran." Data in Brief, vol. 19, no. , 2018, pp. 2284-2290.
APA	Dehghani MH, Jarahzadeh S, Hadei M, Mansouri N, Rashidi Y, Yousefi M (2018). The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran. Data in Brief, 19(), 2284-2290.
Chicago	Dehghani MH, Jarahzadeh S, Hadei M, Mansouri N, Rashidi Y, Yousefi M. "The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran." Data in Brief 19, no. (2018): 2284-2290.
Harvard	Dehghani MH et al. (2018) 'The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran', Data in Brief, 19(), pp. 2284-2290.
Vancouver	Dehghani MH, Jarahzadeh S, Hadei M, Mansouri N, Rashidi Y, Yousefi M. The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran. Data in Brief. 2018;19():2284-2290.
BibTex	@article{ author = {Dehghani MH and Jarahzadeh S and Hadei M and Mansouri N and Rashidi Y and Yousefi M}, title = {The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran}, journal = {Data in Brief}, volume = {19}, number = {}, pages = {2284-2290}, year = {2018} }
RIS	TY - JOUR AU - Dehghani MH AU - Jarahzadeh S AU - Hadei M AU - Mansouri N AU - Rashidi Y AU - Yousefi M TI - The Data on the Dispersion Modeling of Traffic-Related Pm10 and Co Emissions Using Caline3; a Case Study in Tehran, Iran JO - Data in Brief VL - 19 IS - SP - 2284 EP - 2290 PY - 2018 ER -

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