Dehghani Mohammad Hadi, Jarahzadeh Sima, Hadei Mostafa, Mansouri Nabiollah, Rashidi Yousef, Yousefi Mahmood
Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Institute for Environmental Research, Center for Solid Waste Research, Tehran University of Medical Sciences, Tehran, Iran.
Data Brief. 2018 Jul 9;19:2284-2290. doi: 10.1016/j.dib.2018.07.019. eCollection 2018 Aug.
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 (PM) and carbon monoxide (CO) emitted from Yadegar-e-Emam Expressway (YEE) as one of the most congested highways in Tehran. The hourly concentrations of PM 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 PM 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 PM 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 PM and CO by about 50%.
CALINE3模型可预测道路排放的污染物在距源一定半径处受体位置的扩散情况。该模型用于评估作为德黑兰最拥堵的高速公路之一的亚德加尔 - 伊玛目高速公路（YEE）排放的粒径小于2.5微米的颗粒物（PM）和一氧化碳（CO）的扩散情况。PM和CO的每小时浓度以及车辆数量和速度数据来自德黑兰空气质量控制公司（TAQCC）。风速和风向、混合层高度、气温、相对湿度和稳定度等级数据由伊朗气象组织（IRIMO）提供。车辆的排放因子（EF）采用英国提出的数值。对附近区域的PM和CO扩散情况进行了预测，并针对一个设有空气质量监测站的特定点估算了模拟浓度。YEE中车辆排放的PM和CO的大部分向东扩散。模拟浓度与实测浓度的比较表明，CALINE3模型对PM和CO浓度的低估幅度约为50%。
