Sherafati Leila, Zanjirabad Hossein Aghamohammadi, Behzadi Saeed
Department of Remote Sensing and GIS, Faculty of Natural resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.
Iran J Public Health. 2022 Jan;51(1):196-204. doi: 10.18502/ijph.v51i1.8312.
Air pollution is one of the most important causes of respiratory diseases that people face in big cities today. Suspended particulates, carbon monoxide, sulfur dioxide, ozone, and nitrogen dioxide are the five major pollutants of air that pose many problems to human health. We aimed to provide an approach for modeling and analyzing the spatiotemporal model of ozone distribution based on Geographical Information System (GIS).
In the first step, by considering the accuracy of different interpolation methods, the Inverse distance weighted (IDW) method was selected as the best interpolation method for mapping the concentration of ozone in Tehran, Iran. In the next step, according to the daily data of Ozone pollutants, the daily, monthly, and annual mean concentrations maps were prepared for the years 2015, 2016, and 2017.
Spatial and temporal analysis of the distribution of ozone pollutants in Tehran was performed. The highest concentrations of O are found in the southwest and parts of the central part of the city. Finally, a neural network was developed to predict the amount of ozone pollutants according to meteorological parameters.
The results show that meteorological parameters such as temperature, velocity and direction of the wind, and precipitation are influential on O concentration.
空气污染是当今大城市居民面临的最重要的呼吸道疾病病因之一。悬浮颗粒物、一氧化碳、二氧化硫、臭氧和二氧化氮是空气中的五大污染物，给人类健康带来诸多问题。我们旨在提供一种基于地理信息系统（GIS）对臭氧分布时空模型进行建模和分析的方法。
第一步，考虑不同插值方法的准确性，选择反距离加权（IDW）方法作为绘制伊朗德黑兰臭氧浓度的最佳插值方法。第二步，根据臭氧污染物的每日数据，绘制了2015年、2016年和2017年的日、月和年平均浓度图。
对德黑兰臭氧污染物分布进行了时空分析。臭氧浓度最高值出现在城市西南部和中部部分地区。最后，开发了一个神经网络，根据气象参数预测臭氧污染物的含量。
结果表明，温度、风速和风向以及降水等气象参数对臭氧浓度有影响。
