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Characteristics of Heavy Particulate Matter Pollution Events Over Hong Kong and Their Relationships With Vertical Wind Profiles Using High-Time-Resolution Doppler Lidar Measurements

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posted on 2025-08-01, 08:15 authored by Y Yang, SHL Yim, J Haywood, M Osborne, JCS Chan, Z Zeng, JCH Cheng
Previous studies have reported boundary layer features related to air pollution. However, few studies have comprehensively evaluated the characteristics and mechanisms of vertical wind in the formation and evolution of heavy particulate matter pollution episodes (EP) in Hong Kong. In this study, we analyzed the vertical characteristics of heavy particulate matter (PM) pollutions over Hong Kong and their relationships with vertical wind profiles using high-time-resolution Doppler lidar measurements and hourly meteorological and air quality observations. We identified nine EPs and show that the events were closely coupled to various vertical wind profiles in the planetary boundary layer (PBL). Our analysis suggests that strong vertical wind speed with wind shear at certain heights in the PBL had a positive correlation with surface PM during most superregional transboundary EPs. The maximum transport height extends from the surface to about 2.0 km or even higher; these transport heights differed among superregional and regional transboundary EPs. At peak surface pollution concentrations during the nine EPs, the surface PM10 had a significant negative correlation with PBL heights/mixing layer heights, while the averaged wind shear in the PBL was significantly positively correlated. These EPs with different mixing layer heights were mainly driven by different vertical wind shear conditions under various weather systems related to surface high pressure, cold fronts, dust storms, and typhoons. This work provides scientific evidence that surface PM pollutions were closely related to the characteristics of vertical profiles during the transboundary air pollutions.

Funding

4930744

Chinese University of Hong Kong ‐ University of Exeter Joint Centre for Environmental Sustainability and Resilience (ENSURE)

ECS‐24301415

The Chinese University of Hong Kong

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Rights

© 2019. American Geophysical Union. All Rights Reserved.

Notes

This is the final version. Available from American Geophysical Union (AGU) via the DOI in this record.

Journal

Journal of Geophysical Research: Atmospheres

Publisher

American Geophysical Union (AGU)

Version

  • Version of Record

Language

en

FCD date

2019-12-04T11:42:43Z

FOA date

2020-02-26T00:00:00Z

Citation

Vol. 124 (16), pp. 9609 - 9623

Department

  • Mathematics and Statistics

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