Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99363
PIRA download icon_1.1View/Download Full Text
Title: Analysis of long-term aerosol optical properties combining AERONET sunphotometer and satellite-based observations in Hong Kong
Authors: Yu, X 
Nichol, J
Lee, KH
Li, J 
Wong, MS 
Issue Date: Oct-2022
Source: Remote sensing, Oct. 2022, v. 14, no. 20, 5220
Abstract: This study analyzes seasonal characteristics and long-term variations in aerosol optical parameters in Hong Kong from 2006 to 2021 using AERONET data and satellite-based observations based on the extreme-point symmetric mode decomposition (ESMD) model. The dominant aerosol types in Hong Kong are mixed aerosols and urban/industrial aerosols with fine-mode sizes, and slightly absorbing or non-absorbing properties. Aerosol optical depth (AOD), Angstrom exponent (AE) and single scattering albedo (SSA) varied seasonally with a lower AOD but higher AE and SSA in summer, and elevated AOD but lower AE and SSA in spring and winter. The long-term variations show the year 2012 to be a turning point, with an upward trend in AOD and AE before 2012 and then downwards after 2012. However, for SSA, a rising trend was exhibited in both pre- and post-2012 periods, but with a larger gradient in the first period. The ESMD analysis shows shorter-term, non-linear fluctuations in aerosol optical parameters, with alternating increasing and declining trends. The examination of the relationships between AOD and meteorological factors based on the extreme gradient boosting (XGBoost) method shows that the effects of weather conditions on AOD are complex and non-monotonic. A lower relative humidity, higher wind speed in southwest directions and lower temperature are beneficial to the abatement of aerosol loads in Hong Kong. In conclusion, the findings of this study enhance the understanding of aerosol properties and the interactions between aerosol loading and meteorological factors.
Keywords: Aerosol optical parameters
Extreme-point symmetric mode decomposition
Long-term variations
Seasonal characteristics
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs14205220
Rights: Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
The following publication Yu X., Nichol J. E., Lee K. H., Li J., Wong M. S. (2022). Analysis of Long-Term Aerosol Optical Properties Combining AERONET Sunphotometer and Satellite-Based Observations in Hong Kong. Remote Sensing, 14 (20), 5220 is available at https://doi.org/10.3390/rs14205220.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
remotesensing-14-05220-v2.pdf3.46 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

126
Last Week
8
Last month
Citations as of Nov 30, 2025

Downloads

67
Citations as of Nov 30, 2025

SCOPUSTM   
Citations

20
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

18
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.