Analysis of air temperature variation with atmospheric pollutants and meteorological parameters using SPSS

Abstract

Temperature variation in the atmosphere is closely related to climatic change, environmental pollution and human health. It has become the prime concern of most countries due to the anthropogenic activities and adverse meteorological situations. This temperature variation depends on various factors like the meteorological parameters as well as the air pollutants. The analysis of temperature variation with these factors are done using Geographically Weighted Regression Modelling (GWR) in Statistical Package for Social Sciences (SPSS). This idea is used to study the chronographic change of relationship between a dependent attribute and one or more independent attribute from the output obtained from GWR equation from SPSS Software. In this study the variation of air temperature is analyzed with pollutants and meteorological parameters. The study areas chosen are Vytila, MG Road, Eloor, Methanam, Kalamasserry. The concentration of NO2, SO2, Respirable suspended particulate matter (RSPM) and the meteorological parameters like Relative Humidity (RH), precipitation and atmospheric temperature over 2010-2020 were collected. A numerical model is developed using the above data to study the variation of temperature in the selected areas.