A Case Study of Wintertime Aerosol Pollution in Qingdao

DOI

10.2991/978-94-6463-902-5_55How to use a DOI?

Keywords

aerosol; single particle; back trajectory; physicochemical properties

Abstract

This study examines an air-pollution episode in Qingdao during 19th–26th December 2019, focusing on the physicochemical properties of different aerosol types and the evolution of their components to identify the particle sources that influenced and dominated the event. By combining air-mass back-trajectory analysis with single-particle mass spectrometry, we further characterize single-particle physicochemical features during the episode. The pollutants originated primarily from Hebei Province. A subsequent precipitation and cooling process promoted pollutant removal. Using the ART-2a neural network together with manual consolidation, we resolved 12 particle classes; among them, ECOC and High_K dominated, together contributing more than 70% of total particles.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hongxuan Zhou
AU  - Wenbo Guo
AU  - Yawen Gao
AU  - Shuhao Du
AU  - Yuzhe Zhang
AU  - Hao Ding
AU  - Zihao Wang
PY  - 2025
DA  - 2025/12/16
TI  - A Case Study of Wintertime Aerosol Pollution in Qingdao
BT  - Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
PB  - Atlantis Press
SP  - 552
EP  - 557
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-902-5_55
DO  - 10.2991/978-94-6463-902-5_55
ID  - Zhou2025
ER  -