Surface, satellite ozone variations in Northern South America during low anthropogenic emission conditions: a machine learning approach.

ABSTRACT: 2020 presented the ideal conditions for studying the air quality response to several emission reductions due to the COVID-19 lockdowns. Numerous studies found that the tropospheric ozone increased even in lockdown conditions, but its reasons are not entirely understood. This research aims to better understand the ozone variations in Northern South America. Satellite and reanalysis data were used to analyze regional ozone variations. An analysis of two of the most polluted Colombian cities was performed by quantifying the changes of ozone and its precursors and by doing a machine learning decomposition to disentangle the contributions that precursors and meteorology made to form O₃. The results indicated that regional ozone increased in most areas, especially where wildfires are

SUBMITTER: Casallas A 

PROVIDER: S-EPMC9839215 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature