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Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS

Airborne fine particulates (PM(2.5); particulate matter with diameter less than 2.5 μm) are receiving increasing attention for their potential toxicities and roles in visibility and health. In this study, we interpreted the behavior of PM(2.5) and its correlation with meteorological parameters in Ho...

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Autores principales: Shi, Wenzhong, Wong, Man Sing, Wang, Jingzhi, Zhao, Yuanling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435953/
https://www.ncbi.nlm.nih.gov/pubmed/22969323
http://dx.doi.org/10.3390/s120606825
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author Shi, Wenzhong
Wong, Man Sing
Wang, Jingzhi
Zhao, Yuanling
author_facet Shi, Wenzhong
Wong, Man Sing
Wang, Jingzhi
Zhao, Yuanling
author_sort Shi, Wenzhong
collection PubMed
description Airborne fine particulates (PM(2.5); particulate matter with diameter less than 2.5 μm) are receiving increasing attention for their potential toxicities and roles in visibility and health. In this study, we interpreted the behavior of PM(2.5) and its correlation with meteorological parameters in Hong Kong, during 2007–2008. Significant diurnal variations of PM(2.5) concentrations were observed and showed a distinctive bimodal pattern with two marked peaks during the morning and evening rush hour times, due to dense traffic. The study observed higher PM(2.5) concentrations in winter when the northerly and northeasterly winds bring pollutants from the Chinese mainland, whereas southerly monsoon winds from the sea bring fresh air to the city in summer. In addition, higher concentrations of PM(2.5) were observed in rush hours on weekdays compared to weekends, suggesting the influence of anthropogenic activities on fine particulate levels, e.g., traffic-related local PM(2.5) emissions. To understand the spatial pattern of PM(2.5) concentrations in the context of the built-up environment of Hong Kong, we utilized MODerate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Thickness (AOT) 500 m data and visibility data to derive aerosol extinction profile, then converted to aerosol and PM(2.5) vertical profiles. A Geographic Information Systems (GIS) prototype was developed to integrate atmospheric PM(2.5) vertical profiles with 3D GIS data. An example of the query function in GIS prototype is given. The resulting 3D database of PM(2.5) concentrations provides crucial information to air quality regulators and decision makers to comply with air quality standards and in devising control strategies.
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spelling pubmed-34359532012-09-11 Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS Shi, Wenzhong Wong, Man Sing Wang, Jingzhi Zhao, Yuanling Sensors (Basel) Article Airborne fine particulates (PM(2.5); particulate matter with diameter less than 2.5 μm) are receiving increasing attention for their potential toxicities and roles in visibility and health. In this study, we interpreted the behavior of PM(2.5) and its correlation with meteorological parameters in Hong Kong, during 2007–2008. Significant diurnal variations of PM(2.5) concentrations were observed and showed a distinctive bimodal pattern with two marked peaks during the morning and evening rush hour times, due to dense traffic. The study observed higher PM(2.5) concentrations in winter when the northerly and northeasterly winds bring pollutants from the Chinese mainland, whereas southerly monsoon winds from the sea bring fresh air to the city in summer. In addition, higher concentrations of PM(2.5) were observed in rush hours on weekdays compared to weekends, suggesting the influence of anthropogenic activities on fine particulate levels, e.g., traffic-related local PM(2.5) emissions. To understand the spatial pattern of PM(2.5) concentrations in the context of the built-up environment of Hong Kong, we utilized MODerate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Thickness (AOT) 500 m data and visibility data to derive aerosol extinction profile, then converted to aerosol and PM(2.5) vertical profiles. A Geographic Information Systems (GIS) prototype was developed to integrate atmospheric PM(2.5) vertical profiles with 3D GIS data. An example of the query function in GIS prototype is given. The resulting 3D database of PM(2.5) concentrations provides crucial information to air quality regulators and decision makers to comply with air quality standards and in devising control strategies. Molecular Diversity Preservation International (MDPI) 2012-05-25 /pmc/articles/PMC3435953/ /pubmed/22969323 http://dx.doi.org/10.3390/s120606825 Text en © 2012 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Shi, Wenzhong
Wong, Man Sing
Wang, Jingzhi
Zhao, Yuanling
Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS
title Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS
title_full Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS
title_fullStr Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS
title_full_unstemmed Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS
title_short Analysis of Airborne Particulate Matter (PM(2.5)) over Hong Kong Using Remote Sensing and GIS
title_sort analysis of airborne particulate matter (pm(2.5)) over hong kong using remote sensing and gis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435953/
https://www.ncbi.nlm.nih.gov/pubmed/22969323
http://dx.doi.org/10.3390/s120606825
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