Damon Ketabi; Reza Esmaili; Hosein Alidadi; Roya Peirovi; Fatemeh Joulaei
Abstract
Background and Objective: Air pollution is one of the current concerns. Human health has been faced with serious risks due to air pollution as a consequence of urbanization. Continuous monitoring of air quality to determine pollutants and identify their emissions sources are considered as the key strategies ...
Read More
Background and Objective: Air pollution is one of the current concerns. Human health has been faced with serious risks due to air pollution as a consequence of urbanization. Continuous monitoring of air quality to determine pollutants and identify their emissions sources are considered as the key strategies for air pollution control. The main objective of this study was evaluation of Mashhad air quality and determination of responsible pollutants in 2015. Materials and Methods: In this cross-sectional study, the instantaneous concentrations of air pollutants including O3, CO, SO2, NO2, PM2.5 and PM10 were measured at the three stations of Mashhad during 2015-2016. Based on Air Quality Index (AQI), Mashhad air quality was classified in groups of good, moderate, unhealthy for the sensitive people, unhealthy, very unhealthy and dangerous. Results: The results of the air quality index indicated that the air quality in 46 days was exceeded the standard limit in Mashhad in 2015-2016. The air quality category included 12.5% days unhealthy for sensitive groups, 74.5% days health. Conclusion: In this study, PM2.5 was determined as the main responsible pollutant in non-standard conditions of Mashhad air. Optimizing public transportation, considering environmental standards at the urban transportation management and Launch intelligent traffic control are the most appropriate strategies proposed to control Mashhad air pollution.
Alireza Ehsanzadeh; Farhad Nejadkoorki; Ali Taleb
Abstract
Background and objective: Air pollution in Tehran, because of high concentration of pollutants, has caused various diseases and many problems concerning the public health and welfare of citizens and also damages to the environment and living organisms. Materials & Methods: Air Quality Index ...
Read More
Background and objective: Air pollution in Tehran, because of high concentration of pollutants, has caused various diseases and many problems concerning the public health and welfare of citizens and also damages to the environment and living organisms. Materials & Methods: Air Quality Index (AQI) is a key tool to monitor the air quality, to realize the effects of air pollution on health and to choose methods against air pollution. This study aimed at modeling and estimation AQI by CART algorithm and adaptive boosting algorithm (AdaBoost). Hourly data on concentration of air pollutants and meteorological parameters related to Gholhak stations in Tehran was used for modeling and estimation of AQI. Results: The results showed that CART model had better performance than AdaBoost model. To evaluate these models, root mean square error (RMSE), mean absolute error (MAE), mean squared error (MSE) and correlation coefficient (R) of the CART model for the test, were respectively, 0.75, 0.101, 0.563, and 0.99 when compared to the AdaBoost model (RMSE=7.1, MAE=5.11, MSE=50.52 and R=0.95) which implies the absolute superiority of the CART model than the AdaBoost model. Conclusion:The results of this study showed that regression decision tree model can be used as an efficient model for modelling and estimation of urban air quality index.