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Air quality in the harbin-changchun metropolitan area in Northeast China: Unique episodes and new trends

  • Yulong Wang
  • , Youwen Sun*
  • , Gerong Zhao
  • , Yuan Cheng*
  • *Corresponding author for this work
  • School of Environment, Harbin Institute of Technology
  • CAS - Anhui Institute of Optics and Fine Mechanics

Research output: Contribution to journalArticlepeer-review

Abstract

Because of the unique geographical, climate, and anthropogenic emission characteristics, it is meaningful to explore the air pollution in the Harbin-Changchun (HC) metropolitan area. In this study, the Air Quality Index (AQI) and the corresponding major pollutant were investigated for the HC cities, based on the air quality data derived from the China National Environmental Monitoring Center. The number of days with the air quality level of “good” gradually increased during recent years, pointing to an improvement of the air quality in HC. It was also found that ozone, a typical secondary pollutant, exhibited stronger inter-city correlations compared to typical primary pollutants such as carbon monoxide and nitrogen dioxide. In addition, for nearly all the HC cities, the concentrations of fine particulate matter (PM2.5) decreased substantially in 2020 compared to 2015. However, this was not the case for ozone, with the most significant increase of ozone observed for HC’s central city, Harbin. This study highlights the importance of ozone reduction for further improving HC’s air quality, and the importance of agricultural fire control for eliminating heavily-polluted and even off-the-charts PM2.5 episodes.

Original languageEnglish
Article number357
JournalToxics
Volume9
Issue number12
DOIs
StatePublished - Dec 2021
Externally publishedYes

UN SDGs

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

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Air pollution
  • Northeast china
  • Particulate matter
  • Spatiotemporal variations

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