Sharif Digital Repository

The problem of PM pollutants has become one of the main environmental concerns of Tehran city due to the growth of city population and industrialization. As a consequence of this problem there is an increasing trend in the number of unhealthy days in Tehran in terms of air quality in recent years. Solving this problem needs strict regulations to limit the amount of pollutants released from vehicles, industries and power plants. To help this cause, this study investigates the effect of emissions and climate change under RCP scenarios on future PM2.5 concentration in Tehran by using WRF-SMOKE-CMAQ modeling system. The result of simulation of climate conditions under RCP8.5 scenario in 2050... 

Particuale matters, as a criterion for evaluationg the air quality, have been one of the most important air pollutants through the last decade. Considering the adverse health effects of particulate matters, the importance of monitoring pollutant’s concentration is inevitable. While there are monitoring stations for evaluating the air quality, our knowledge is so limtted since there are few stations working, so there is a spatial and temporal gap. On the other hand, chemical transport models and remote sensing provide us a better chance to track the air quality thoroughly. Since chemical transport models are our only way of filling the gaps, they should be rigorous and accurate. In this study... 

Tehran air quality is facing a real crisis. Reports of pertinent organizations show air quality is deteriorating in recent years and unhealthy days are increasing. As a result, study and planning in order to change this trend and moving toward improving air quality is a necessity. On the other hand, in order to make proper decisions and choosing effective approaches considering cost-effective attribute and legal, temporal and budget restrictions, selecting the right tool is essential. Air quality models are the tools which in a cost saving manner and reasonable time can provide the required results for researchers, decision makers and legislators. An applicable model correspondent with urban... 

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,... 

Atmospheric aerosols scatter or absorb a fraction of the incoming solar radiation to cool or warm the atmosphere, decreasing surface temperature and altering atmospheric stability to further affect the dispersion of air pollutants in the planetary boundary layer. This study aims to evaluate the impacts of meteorology-chemistry interaction on the meteorology and air quality simulations over Tehran megacity. The Coupled Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) modeling system was applied to model a period of time from 3rd to 23rd December of 2017. Comprehensive model evaluations for meteorology demonstrated that the modeling system had the capacity to... 

In this study, The Comprehensive Air Quality Model with extensions (CAMx model, v5.41), was used to model gas phase pollutants over Tehran modeling domain during two episodes of July 7th to July 13th and November 30th to December 6th, 2012. In the second episode due to very high concentration of pollutants caused by a combination of meteorological conditions and occurrence of an inversion, a forced holiday was imposed on the city-wide operations to protect the health of citizens. It was found that WRF/CAMx modeling system is a useful tool for the analysis of urban environmental problems and predicting critical conditions. The WRF simulation results for 2-m height temperature, 10-m height... 

In atmospheric studies, chemical transport models are formulated to simulate the spatial and temporal distribution of pollutant concentrations. However, the performance of these models is strongly dependent on the input parameters such as emissions. Inverse modeling is a widely used mathematical approach for estimating model parameters by minimizing the discrepancy between model output and observations. For air quality studies, inverse modeling is often used for emission inversion as emissions are associated with significant amount of uncertainties.This research aims to estimate optimal values for anthropogenic PM2.5 emission through a four-dimensional variational (4D-Var) inverse modeling... 

In this study, in the base case using a modeling system WRF=CAMx Distribution concentration of all pollutants from mobile sources in an episode of 60 days (November and December 2015) is calculated in Tehran. In this context, the emissions inventory related to mobile sources outputs the code in Fortran and WRF meteorological model to model air quality prepared and then using the CAMx, Tehran’s air quality is simulated. In order to verification in this case, the results of pollutant concentration NO2, CO, PM2٫5, with concentrations of air pollution monitoring stations compared. Given that in this study the concentration of pollutants from mobile sources is modeled, predicted by the model,... 

This study aims to investigate the effects of urban design and development on Tehran's air quality in calm conditions. Known strategies such as bright roofs and facades, urban development, and modification of the building density are in the focus. The WRF model coupled with Single-Layer Urban Canopy and Building Effects Parametrization canopy schemes were used to predict weather parameters. SMOKE and CMAQ models computed the concentration of pollutants in the city. Urban canopy schemes had correlation coefficients and an index of accordance of about 0.9 and the mean bias was lower than 2. Wind prediction had a lower correlation. The BEP scheme reduced the mean bias for temperature and... 

Considering the increase of particulate matters in the last three decades in Tehran, many endeavores have been made in order to determine and recognize the contributing factors in the production of particulate matters. Although emission source of particulate matters is available in the form of emission inventories, these emission sources are not accurate and they need to be modified. By modeling the air pollution we can determine the relationship of pollution source and their effect on air quality.Modeling air pollution helps us to determine the relationship of pollution sources and their effect on air quality. Air pollution managers use models to determine the contribution of emission... 

Every year, air pollution is causing immense harm to humans and the environment. To cause Air pollution, several factors are involved. Among these are the sources of emissions such as factories, power plants and Cars, meteorological factors such as temperature and wind speed and geographical conditions such as altitude, postal and looming around the area, land slope and soil type region. The aim of this study is to identify factors that affect the ozone concentration in Tehran, which could help identifying other secondary pollutants. For this purpose, a combination tailored to the geography of Tehran using CMAQ-WRF-SMOKE-made programs. This model includes four intervals each of which lasting... 

In recent years, dust storms have turned into one of the most prominence environmental issues, existing in Tehran. The infiltration of dust through west borders has led to significant increase in the concentration of Tehran’s pollutants. The main abroad source of these dusts are deserts located in Middle East. The contribution of Middle East deserts in daily concentration of PM10, without the inclusion of local emission sources, was analyzed in previous studies. In this study, we analyzed the contribution of dust storms, formed in Middle East, in Tehran’s PM10 and PM2.5 concentration, using CMAQ model. Dust periods between 2012 and 2014, was identified using observation data and satellite... 

Urban Heat Islands (UHI) relates to regions that experience warmer temperature than their rural surroundings due to anthropogenic heat sources and large amount of heat generated from urban structures, as they consume and re-radiate solar radiation. The adverse effects of UHI includes the deterioration of living environment, increase in energy consumption, Accumulation of pollutants and increase of their amounts due to high energy consumption and harmful effects on human health and comfort. In this study we use WRF-SMOKE-CMAQ models to evaluate the effects of UHI on Tehran air quality. In this study increased temperature of urban area compared to its surroundings that is known as Urban Heat... 

In recent years, in Tehran, air pollution became one of the major problems in this city. Among air pollutants, particle matter (PM) is very important in aspect of negative effect on environment and human health. Effective control of these particles requires correct determination of rules and adopting appropriate managing policy which are mostly very cost-consuming. Rules determination and adopting appropriate policy is very challenging in Tehran due to lack of sufficient information about concentration dispersion of such particles. The aim of this study is to recognize the factors of producing PM10 and appropriate understanding of changes of particle matter concentration of Tehran by...