Spatial and temporal variations of air pollution over 41 cities of India during the COVID‐19 lockdown period

In this study, we characterize the impacts of COVID-19 on air pollution using ­NO2 andAerosol Optical Depth (AOD) fromTROPOMI and MODIS satellite datasets for 41 cities in India. Specifcally, our results suggested a 13% ­NO2 reduction during the lockdown (March 25–May 3rd, 2020) compared to the prelockdown (January 1st–March 24th, 2020) period.Also, a 19% reduction in ­NO2 was observed during the 2020-lockdown as compared to the same period during 2019.The top cities where ­NO2 reduction occurred were New Delhi (61.74%), Delhi (60.37%), Bangalore (48.25%),Ahmedabad (46.20%), Nagpur (46.13%),Gandhinagar (45.64) and Mumbai (43.08%) with less reduction in coastal cities.The temporal analysis revealed a progressive decrease in ­NO2 for all seven cities during the 2020 lockdown period. Results also suggested spatial diferences, i.e., as the distance from the city center increased, the ­NO2 levels decreased exponentially. In contrast, to the decreased ­NO2 observed for most of the cities, we observed an increase in ­NO2 for cities in Northeast India during the 2020 lockdown period and attribute it to vegetation fres.The ­NO2 temporal patterns matched theAOD signal; however, the correlations were poor. Overall, our results highlight COVID-19 impacts on ­NO2, and the results can inform pollution mitigation eforts across diferent cities of India.

• Tipo de recurso: Article of investigation
• Fecha de publicación: 2020
• Institución: Universidad de Bogotá Jorge Tadeo Lozano
• Repositorio: Expeditio: repositorio UTadeo
• Idioma: eng
• OAI Identifier: oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14407
• Acceso en línea: https://doi.org/10.1038/s41598-020-72271-5; http://hdl.handle.net/20.500.12010/14407
• Palabra clave: COVID‑19; Air pollution; India; Síndrome respiratorio agudo grave; COVID-19; SARS-CoV-2; Coronavirus
• License: Abierto (Texto Completo)