COVID-19 emission data in East China

Published: 13 July 2021| Version 1 | DOI: 10.17632/92mp3bbxpy.1
Contributor:
Cheng Huang

Description

We constructed an approach to estimate city-level high resolution dynamic emissions of both anthropogenic air pollutants and CO2. We introduced dynamic temporal allocation coefficients based on real-time multi-source activity data to estimate the daily variations of air pollutants and CO2 emissions. This dataset includes the daily emissions of air pollutants and CO2 during the COVID-19 pandemic in the Yangtze River Delta region of China estimated by this sutdy.

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