Page 577 - NGTU_paper_withoutVideo

کیتاموئژ نیون یاهدربراک و اه یروآ نف یلم سنارفنک

Modeling the concentration of ozone and nitrogen pollutants in GIS and
comparing this pollutant concentration with Sentinel-5 product in Google Earth
Engine system (study area of Tehran)

vahid isazade¹, shokoofehasiabi²

¹ Master Student of Remote Sensing and Spatial Information System (GIS), Faculty of Geography, University of Tehran, Tehran, Iran
vahid.isazade@ut.ac.ir
² Master Student of Remote Sensing and Spatial Information System (GIS), Faculty of Geography, University of Tehran, Tehran, Iran
shokoofehasiabi23@gmail.com

Abstract
Surface ozone (O3) and nitrogen as one of the most dangerous pollutants and has significant effects on
the health of urban residents. The purpose of this study is to model the spatial and temporal changes of
ozone and nitrogen pollutants in the metropolis of Tehran. In this study, two methods have been used to
measure the concentration of ozone and nitrogen pollutants spatially. One of these methods is Reverse
Weighting (IDW) and Sentinel-5P NRTI O3: Near Real Time. To implement the first method, the data
of 1387 as a monthly average and 1388 and 1397 as an annual were used. Therefore, temporal analysis
of ozone and nitrogen pollutants showed that the best performance of the model for 1387 (R2 = 0.918)
and the amount of this performance (R2 = 0.134), while the lowest performance of the model in terms of
time analysis is related to 1397 (0.476). The results showed that the concentration of ozone pollutants in
the stations was different for the above three periods. And spatial modeling of the distribution of ozone
pollutants in three more periods on the northeastern part of Tehran. But in the second method, modeling
the concentration of ozone pollutants based on the product O3_Column Density, which shows the
average annual change of ozone. Therefore, the results showed that on March 9, 2019, Aqdasiyeh station
had the highest amount of ozone and nitrogen in the atmosphere, which showed a figure of
0.186%.While the municipal stations - districts 16, 19 and 20 and Masoudiyeh station had the lowest
concentration of ozone and nitrogen pollutants and the concentration of these four stations due to annual
changes was 0.133 percent. The results showed that spatial modeling of ozone and nitrogen pollutants
with Sentinel-5 in Google Earth Engine has produced favorable results.

Keywords: Ozone and nitrogen pollutants, Inverse weighting distance, Google Earth Engine, Sentinel – 5, Tehran