A Remote sensing-based study of Seasonal variation of tropospheric Ozone Concentration over Bhopal using Sentinel-5P Satellite Data

Abstract

Abstract The present study aims to analyze the seasonal variation in air quality in Bhopal, particularly in terms of Ozone (O3) levels. Due to the limited number of air monitoring stations in the region and their inability to function over the years, new methods must be found to complement the data on the ground. This study utilizes remote sensing products and GIS platforms to measure O3 levels quantitatively and qualitatively in the area. The measurements are compared with the Central Pollution Control Board (CPCB) ground monitoring O3 data of four locations (commercial, industrial, and residential areas), and Pearson correlation coefficients (PCC) (0.49, 0.34, 0.40) indicate that for daily monitoring of O3 concentrations, Sentinel-5P data can be used. The study also employs Google Earth Engine as an alternative method to analyze pre-processed data using conventional retrieval and GODFIT algorithms. To cope with near-real-time requirements, machine learning approaches are new-generation tools for different atmospheric processors.