Abstract：
This study investigates the impact of transportation vehicles on air pollution emissions in Istanbul, a metropolitan city in Türkiye. The TIMES (The Integrated MARKAL-EFOM System) Model has been used to determine the current level of air pollutants coming from the transportation sector, make future estimates, and assess the impact of various scenarios on air pollution emissions. Air pollutants such as carbon monoxide, nitrogen oxides, sulfur oxides, particulate matter, and non-methane volatile organic compounds are included in the model. The amount of air pollution emissions discussed in this research were 74, 68, 13, 5, and 2 kt for NOx, CO, VOC, SO2, and PM, respectively, in the base year of 2016. In 2055, these emissions have shifted to 190, 98, 26, 8, and 5 kt, respectively. This means that emissions are predicted to increase between 1.4 and 2.6 times. According to model results, individual measures could decrease potential air pollution emissions for 2055 by up to 13 %. When all of the actions done within the pollutants of the study are combined, the total amount of emissions has decreased by 30.2 %, 24.3 %, 18.8 %, 5.3 % and 21.4 % for NOx, CO, VOC, SO2, and PM, respectively. This research emphasizes how critical it is to address metropolitan areas\' transportation-related air pollution. The number of such studies dealing with air pollution parameters using the TIMES Model is very few, and it is expected that this study will create important outputs for similar studies.
摘要：
这项研究调查了运输车辆对伊斯坦布尔空气污染排放的影响，蒂尔基耶的一个大都市。时间（综合MARKAL-EFOM系统）模型已用于确定来自运输部门的空气污染物的当前水平，做出未来的估计，并评估各种情景对空气污染排放的影响。空气污染物，如一氧化碳，氮氧化物,硫氧化物,颗粒物,模型中包括非甲烷挥发性有机化合物。在这项研究中讨论的空气污染排放量为74、68、13、5和2kt的NOx，CO,VOC,SO2和PM，分别,在2016年的基准年。2055年，这些排放已经转移到190、98、26、8和5kt，分别。这意味着排放量预计将增加1.4到2.6倍。根据模型结果，个别措施可以在2055年将潜在的空气污染排放量减少多达13%。当在研究的污染物中进行的所有作用都结合在一起时，排放总量下降了30.2%,24.3%,18.8%,5.3%和21.4%的氮氧化物，CO,VOC,SO2和PM，分别。这项研究强调了解决大都市地区与交通相关的空气污染的重要性。使用TIMES模型处理空气污染参数的此类研究数量很少，预计这项研究将为类似的研究创造重要的成果。
