Traffic-related emissions are the main sources of certain air pollutants that affect large number of people in many city centers. Because of this fact, quantification of traffic-related emissions and their dispersion modeling are required to determine human exposure to these pollutants. In this study, the most populated Ortahisar district of Trabzon, a city located in the Eastern Black Sea region of Turkey, was selected as the study area since high traffic density is known to be one of the major sources of air pollution in this district. Moreover, air quality measurement stations located close to major roads are available to provide experimental data for model validation. Traffic emission inventory for some pollutants (NO_x, SO₂, CO, PM and VOCs) was prepared. Considering that NO_x is the most representative air pollutant of road traffic emissions, its inventory together with topographical properties and meteorological conditions were used in AERMOD dispersion model to calculate NO_x concentrations at selected receptor points. For validation, model data were compared to measurement data by certain statistical tools. According to the model results, 10.1% of the population living in Ortahisar district was exposed to traffic-related NO_x concentrations higher than the regulatory limit value. In the study, five different emission reduction scenarios were tested to observe the effects on the exposure levels. Model results indicated that the measures represented by these scenarios are capable of reducing exposure levels between 2.4 and 99.5 percent.

与交通有关的排放是某些空气污染物的主要来源，这些污染物影响许多城市中心的大量人口。由于这个事实，需要确定与交通有关的排放量及其扩散模型，以确定人类对这些污染物的暴露程度。在这项研究中，位于土耳其东部黑海地区特拉布宗的人口最稠密的Ortahisar区被选为研究区，因为众所周知，高交通密度是该区空气污染的主要来源之一。此外，靠近主要道路的空气质量测量站可为模型验证提供实验数据。编制了一些污染物（NO _x，SO ₂，CO，PM和VOCs）的交通排放清单。考虑到没有_x是道路交通排放中最具代表性的空气污染物，在AERMOD弥散模型中使用_x的清单以及地形特征和气象条件来计算选定受体点的NO _x浓度。为了验证，通过某些统计工具将模型数据与测量数据进行了比较。根据模型结果，人口居住在Ortahisar地区的10.1％暴露于交通有关的NO _X浓度高于监管限制值。在研究中，测试了五种不同的减排情景，以观察其对暴露水平的影响。模型结果表明，这些方案所代表的措施能够将暴露水平降低2.4％至99.5％。