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Characterizing the effect of traffic density on ambient CO, NO2, and PM2.5 in Tehran, Iran: an hourly land-use regression model
, Article Transportation Letters ; Volume 11, Issue 8 , 2019 , Pages 436-446 ; 19427867 (ISSN) ; Jamshidi, H ; Samimi, A ; Sharif University of Technology
Taylor and Francis Ltd
2019
Abstract
Economic development and population growth in Tehran has increased demand for goods movement and road transportation. This trend has increased mobile source emissions and citizens’ exposure, imposing severe health risks. We used the framework of Land-Use Regression models to quantify the effect of real-time traffic, within buffer distance, on hourly exposure of CO, NO2, and PM2.5. Effect of residential, industrial, and governmental land-use in addition to the effect of pollution sources, such as construction sites and airport were assessed on air pollution. Meteorological variables were also employed to adjust between day variations. R-squared of the models were 38, 27, and 38% for CO, NO2,...
Development and Application of Mobile Source Emission Factor Matrix for Use in Wrf/Camx Air Dispersion Model of Tehran
, M.Sc. Thesis Sharif University of Technology ; Hosseini, Vahid (Supervisor)
Abstract
Tehran, with approximately 750 km2 of land area, a population of more than 8 million people with about 4 million active on-road vehicles, is dealing with serious air pollution problems. To model the environmental phenomenon precisely, this study aims to develop on-road air pollutant emission factor matrices based on existing traffic in Tehran routes and to run air quality modelling within Tehran geographic boundaries. We developed emission factor matrices using SMOKES-MOVES emission modeling system. To do so, we calculated on-road emission factors from actual traffic-related data and run MOVES emission model. And use use them for different pollutants considered in air quality models. Then,...
An emission inventory update for Tehran: The difference between air pollution and greenhouse gas source contributions
, Article Atmospheric Research ; Volume 275 , 2022 ; 01698095 (ISSN) ; Abolmaali, A. M ; Alizadeh, H ; Salavati, H ; Zokaei, H ; Zandavi, R ; Torbatian, S ; Yazgi, D ; Hosseini, V ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Many highly populated cities are still struggling to reach clean air targets, while the zero greenhouse gas emission objectives may accelerate the path toward healthy air for all. Still, there is a fine line between intensive electrification's impact on greenhouse gas emissions and criteria air contaminants depending on the source of the electricity. In this study, the previous version of the emission inventory for Tehran was evaluated and re-calculated in a detailed bottom-up approach to provide the most updated data on the contribution of stationary sources derived by power plants vs. mobile sources. The objectives were to update the emission inventory for improved policymaking, study the...