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Impact of reduced anthropogenic emissions during COVID-19 on air quality in India

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TLDR
In this article, the authors used the Community Multi-Scale Air Quality (CMAQ) model to estimate the changes of key air pollutants and found that during lockdown periods, significant reductions of PM 2.5 concentration and its major components were predicted, especially for secondary inorganic aerosols that are up to 92, 57, and 79% for nitrate (NO 3 - ), sulfate (SO 4 2 - ), and ammonium(NH 4 + ), respectively.
Abstract
. To mitigate the impacts of the pandemic of coronavirus disease 2019 (COVID-19), the Indian government implemented lockdown measures on 24 March 2020, which prohibited unnecessary anthropogenic activities, thus leading to a significant reduction in emissions. To investigate the impacts of this lockdown measure on air quality in India, we used the Community Multi-Scale Air Quality (CMAQ) model to estimate the changes of key air pollutants. From pre-lockdown to lockdown periods, improved air quality is observed in India, indicated by the lower key pollutant levels such as PM 2.5 ( − 26 %), maximum daily 8 h average ozone (MDA8 O 3 ) ( − 11 %), NO 2 ( − 50 %), and SO 2 ( − 14 %). In addition, changes in these pollutants show distinct spatial variations with the more important decrease in northern and western India. During the lockdown, our results illustrate that such emission reductions play a positive role in the improvement of air quality. Significant reductions of PM 2.5 concentration and its major components are predicted, especially for secondary inorganic aerosols that are up to 92 %, 57 %, and 79 % for nitrate (NO 3 - ), sulfate (SO 4 2 - ), and ammonium (NH 4 + ), respectively. On average, the MDA8 O 3 also decreases 15 % during the lockdown period although it increases slightly in some VOC-limited urban locations, which is mainly due to the more significant reduction of NO x than VOCs. More aggressive and localized emission control strategies should be implemented in India to mitigate air pollution in the future.

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Evolution of organic carbon during COVID-19 lockdown period: Possible contribution of nocturnal chemistry

TL;DR: In this article , the authors measured carbonaceous aerosols in Shijiazhuang and Beijing using the OC/EC analyzer from December 1, 2019 to March 15, 2020, which covered the Coronavirus Disease 2019 (COVID-19) pandemic.
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Temporal characteristics and spatial heterogeneity of air quality changes due to the COVID-19 lockdown in China

TL;DR: In this paper , the impact of lockdown measures on air quality during the COVID-19 pandemic in China was evaluated, focusing on the temporal characteristics and spatial heterogeneity of the impact across all 337 prefecture cities.
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Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery.

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The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions

TL;DR: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1) as mentioned in this paper is an update from the previous versions including MEGAN1.0, which was described for isoprene emissions by Guenther et al. (2006) and MEGan2.02, which were described for monoterpene and sesquiterpene emissions by Sakulyanontvittaya et al (2008).
Journal ArticleDOI

Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System

TL;DR: The Models-3 CMAQ system as mentioned in this paper is a community multiscale air quality modeling system that includes a meteorological modeling system for the description of atmospheric states and motions, emission models for man-made and natural emissions that are injected into the atmosphere, and a chemistry-transport modelling system for simulation of the chemical transformation and fate.
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The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning

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