In recent decades, particulate matter (PM) concentrations in Tehran have exceeded the World Health Organization’s (WHO) guideline on most days. In this study, a search protocol was defined by identifying the keywords, to carry out a systematic review of the concentrations and composition of PM in Tehran’s ambient air. For this purpose, searches were done in Scopus, PubMed, and Web of Science in 2019. Among the founded articles (197 in Scopus, 61 in PubMed, and 153 in Web of Science). The results show that in Tehran, the annual average PM₁₀ exceeded the WHO guidelines and for more than 50.0% of the days, the PM_2.5 concentration was more than WHO 24-h guidance value. The PM concentration in Tehran has two seasonal peaks due to poorer dispersion and suspension from dry land, respectively. Tehran has two daily PM peaks due to traffic and changes in boundary-layer heights; one just after midnight and the other during morning rush hour. Indoor concentrations of PM10 and PM2.5 in Tehran were 10.6 and 21.8 times higher than the corresponding values in ambient air. Tehran represents a unique case of problems of controlling PM because of its geographical setting, emission sources, and land use. This review provided a comprehensive assessment for decision makers to assist them in making appropriate policy decisions to improve the air quality. Considering factors such as diversity of resources, temporal and spatial variations, and urban location is essential in developing control plans. Also future studies should focus more on PM reduction plans.

近几十年来，德黑兰的颗粒物 (PM) 浓度在大多数日子里都超过了世界卫生组织 (WHO) 的指导值。在这项研究中，通过识别关键字定义了一个搜索协议，以对德黑兰环境空气中 PM 的浓度和组成进行系统审查。为此，2019 年在 Scopus、PubMed 和 Web of Science 中进行了搜索。在已创建的文章中（Scopus 中 197 篇，PubMed 中 61 篇，Web of Science 中 153 篇）。结果表明，在德黑兰，年平均 PM ₁₀超过了 WHO 的指导方针，并且在超过 50.0% 的日子里，PM _2.5浓度高于世界卫生组织 24 小时指导值。德黑兰的 PM 浓度有两个季节性峰值，分别是由于旱地的分散和悬浮较差。由于交通和边界层高度的变化，德黑兰每天有两个 PM 峰值；一个在午夜之后，另一个在早高峰时段。德黑兰的室内 PM10 和 PM2.5 浓度分别是环境空气中相应值的 10.6 倍和 21.8 倍。由于其地理环境、排放源和土地使用，德黑兰代表了控制 PM 问题的独特案例。这项审查为决策者提供了全面的评估，以帮助他们做出适当的政策决定以改善空气质量。综合考虑资源多样性、时空差异等因素，城市位置对于制定控制计划至关重要。此外，未来的研究应更多​​地关注 PM 减少计划。