Estimation and Spatiotemporal Analysis of NO2 Pollution in East Asia During 2001–2016

Mingyun Hu, Yiang Chen, Dehao Yuan, Rui Yu, Xingcheng Lu*, Jimmy C.H. Fung, Wanying Chen, Yeqi Huang, Alexis K.H. Lau

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

8 Citations (Scopus)

Abstract

Ambient nitrogen dioxide (NO2) not only has adverse health effects on humans but also contributes to the production of two major secondary atmospheric pollutants, ozone (O3) and fine particulate matter (PM2.5). In this study, surface NO2 concentrations in East Asia from 2001 to 2016 were estimated by combining an ensemble backpropagation neural network method, satellite NO2 column data, and reanalysis data. The estimated monthly and annual mean NO2 concentrations were well-correlated with the observations, with R (correlation coefficient) values of 0.89 and 0.91, respectively. Our results indicate that the NO2 concentrations in most areas of East Asia peaked during 2011–2013. The NO2 concentrations in autumn and winter, especially in the eastern and northern parts of China, were much higher than those in summer. In terms of population NO2 exposure, over 25 million South Korea residents (∼45% of the population) were exposed to NO2 concentrations higher than the 2005 World Health Organization's annual standard (40 μg/m3, ∼22 ppbv at 25°C) in 2015. In contrast, the entire populations of some developing countries, such as Vietnam, Cambodia, Myanmar, the Philippines, and Lao PDR, were exposed to NO2 concentrations less than 14 ppbv. Based on the estimation, NO2-related asthma cases in East Asia increased by 1.37% annually from 2001 to 2015, reaching 139,000 cases (95% confidence interval: 37,400–263,400) in 2015. NOx emission inventories vary from country to country in East Asia; thus, more targeted NOx emission-control policies are urgently required.

Original languageEnglish
Article numbere2021JD035129
JournalJournal of Geophysical Research: Atmospheres
Volume127
Issue number2
DOIs
Publication statusPublished - 27 Jan 2022

Bibliographical note

Publisher Copyright:
© 2022. American Geophysical Union. All Rights Reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • East Asia
  • NO
  • asthma
  • exposure
  • machine learning

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