ABSTRACT
The highly polluted Indian cities are retained their normal state during COVID-19 pandemic lockdown. Thus, the study aims to analysis the lockdown impact on NO2 and SO2 in the selected cities. So, the lockdown relative changes (C) are calculated based on baseline and pre-lockdown, for which the ground (Central Pollution Control Board data) and satellite (Sentinel 5P data) measured NO2 and SO2 data were utilised. The study reveals that the average pollutants concentration of NO2 and SO2 is declined to below-average level and indicates that the average dropdown level of NO2 and SO2 are -45.4% and -30.2% for ground pollutants;-45.1% and -43.4% for satellite pollutants respectively. The pandemic lockdown has restricted industrial, vehicular emission, and other anthropogenic activities which resulted in a positive effect on air quality. © 2021 IEEE.
ABSTRACT
Air quality index is use to identify how polluted the current air is and measures the level of pollution in air. Increasing AQI always been a matter of worry because of rapid increase in traffic, urbanization and pollutants. This paper aims to predict AQI of Delhi region during COVID-19 using time series modelling which is a machine learning algorithm. Time series modelling involves models to fit into collected dataset and use them to predict future values. The research is based on major pollutants like particulate matter, CO, SO, NO, NH3 and ozone. Data of the pollutants are collected from Central Pollution Control Board (CPCB), Government of India. Coefficient of determination of PM 10 is 0.95 and PM 2.5 is 0.82. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The COVID-19 pandemic has jolted India as it has with the world, and the death toll has crossed the 1.5 lakh mark as of February 2021. To curb this wildfire like the spread of the virus, the Government of India has imposed a nationwide phased lockdown from 25 March 2020 to 31 May 2020. Studies have shown that more than 22 cities in India recorded a drastic decrease in PM2.5 during this lockdown period. This research aims to study the impact of this phased lockdown on Particulate Matter (PM2.5) by means of statistical analyses. The PM2.5 concentration for Pre-COVID years up to the end of Phase-IV of the lockdown is acquired via the continuous air quality monitoring stations of the Central Pollution Control Board in three locations;namely, Velachery, Alandur and Manali. Graphical analysis provides insight into the efficiency of lockdown showing April 2020 achieved the highest reduction in PM2.5 concentration in all three locations. Manali being an industrial area notices a significant increase as evidenced by the one-way ANVOA in May 2020 when the Government sanctioned relaxations on the logistical and industrial front. Analysis of Summer 2020 PM2.5 levels with previous years shows an overall decrease through the years and a significant decrease specifically in 2020. Comparison of air quality during the lockdown period with the previous years provides a distinctive perspective to understand the extent of anthropogenic influence on the air quality of Chennai, which can in turn act as a tool to identify suitable mitigation measures to vastly improve quality of life. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.