Modeling the effects of PM pollutant on people using a spatio-temporal dynamic model and GIS

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Among the various air pollutants in Tehran, particulate matter with a diameter of less than 2.5 micron is considered one of the most important air pollutants that is created through fuel combustion and can cause various diseases and increase the mortality of people. Due to the importance of the subject, so far, various researches have been conducted on the effects of PM2.5 pollutants that most of them have only investigated statistical and epidemiological effects. In this study, the aim is to investigate and show the effect of PM2.5 pollutant concentration with the help of ABM, where the effect of pollution on a car as a moving agent and showing the effects of pollution in the form of color change on it was considered. For this purpose, PM2.5 pollutant distribution map for tow days with different pollution intensity was prepared in ArcGIS software environment. For doing this job, the information related to the concentration of pollution on the December 24, 2022 and January 1, 2023 was used and the IDW interpolation method was used to interpolate and prepare the dispersion map. After that, from the obtained data, the concentration of pollution and its integration with the location of the streets and squares of the studied area, the agent's movement environment was created in Netlogo software and the relevant environment was called. By determining the origin and destination, the route and the speed of the car, the model was implemented for two days, December 24, 2022 and January 1, 2023. The results of the model implementation showed that due to the higher intensity of pollution on the Januay 1, the effect of pollution on the agent was much higher than on the December 24. With the implementation of the model on the January 1, the amount of pollution in a short period of time reached above 100, which is an unhealthy range for sensitive groups. According to the AQI index, this level of concentration causes serious breathing problems for the elderly and children.

Language:
Persian
Published:
Journal of Geomatics Science and Technology, Volume:13 Issue: 4, 2024
Pages:
27 to 40
https://www.magiran.com/p2754424