Investigation and Analysis of the Relationship between Climatic Parameters and Severity of Air Pollutants Using Spatial Information System (Case Study: Tehran city).

Autor: Ashouri, Armin1, Javadi, Mohammad Reza2, Mousavi, Seyyed Ali3
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Zdroj: TERI Information Digest on Energy & Environment (TIDEE). Mar2022, Vol. 21 Issue 1, p1-19. 19p.
Abstrakt: Air pollution has become a major environmental problem in the metropolis of Tehran, due to its harmful consequences. Statistics show that the most common cause behind the exacerbation of heart and lung diseases is an increase in pollutants such as sulfur dioxide, particulate matter and carbon monoxide. The purpose of this study is to investigate the relationship between meteorological data and air pollutants in Tehran. Meteorological data and air pollutants were received from the site of meteorological organizations. First, zoning maps were obtained using GIS software and IDW model and kriging. Then, using SPSS software, Pearson correlation was used/employed/applied to investigate the relationship between pollutant concentrations and meteorological parameters, and a stepwise multivariate regression model was used to determine the variables that had a greater role in increasing or decreasing pollutant concentrations. Air pollutants were considered as dependent variables and meteorological data were considered as independent variables. The results showed that there is a significant correlation and connection between them. According to the results of the zoning map of air pollutants in Tehran, the density of CO pollutants is higher in regions 1-18 and 20; NO2 in regions 1-4/1-2-3 and 4; O3 in regions 4, 8, 13, 14 and 15; and PM2 in region 5. Moreover PM10 is more/higher in the southeast, south, southwest and west of the province, whereas SO2 is more in the north, south and west of Tehran. Due to the significant relationship between the two, it was determined that meteorological parameters can have an effect on the amount of air pollution in Tehran. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE