Determining the optimal route with GIS, based on the lowest amount of PM2.5 pollutant
Subject Areas : Journal of Radar and Optical Remote Sensing and GIS
Seyed Hossein Jalali
1
,
Hossein Aghamohammadi
2
,
Mohammad H. Vahidnia
3
,
Alireza Mirzahosseini
4
1 - Department of Remote Sensing and GIS, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Department of Remote Sensing and GIS, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 - Center for Remote Sensing and GIS Research, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
4 - Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran
Keywords: Optimal route, GIS, air pollution, IDW, PM2.5,
Abstract :
Air pollution in Tehran is one of the most important problems of this metropolis. One of the most important pollutants in the air of Tehran is the PM2.5 pollutant, which has various effects on people, especially the elderly and children, and can cause all kinds of diseases, including cardiac, respiratory, and even death. In this study, the first goal is to prepare a distribution map of air pollutant p pollution in Tehran city with the help of data related to 15 pollution measurement stations and interpolate the data using the IDW method, and secondly, optimal routing based on the cost layer of PM2.5 pollution. This work has been done for two different days that had different levels of pollution. In order to prepare the desired map, ARC software has been used, as well as NET tool for routing. The routing output from the origin to the destination, for the two days of December 4 and December 26, shows the different routes obtained, which mainly passed through the blue and yellow areas of the pollution map, which had less pollution. This means that with the help of routing based on the pollution cost layer, the optimal route with the least amount of pollution can be determined, which can be very effective in determining the route for sick people, the elderly, and children who are most affected by pollution.
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