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

Airborne fine particulates (PM<sub>2.5</sub>; 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<sub>2.5&am...

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Main Authors: Yuanling Zhao, Wenzhong Shi, Jingzhi Wang, Man Sing Wong
Format: Article
Language:English
Published: MDPI AG 2012-05-01
Series:Sensors
Subjects:
GIS
Online Access:http://www.mdpi.com/1424-8220/12/6/6825
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spelling doaj-8aa5023895824d7296e421580e9d7bea2020-11-24T21:42:57ZengMDPI AGSensors1424-82202012-05-011266825683610.3390/s120606825Analysis of Airborne Particulate Matter (PM<sub>2.5</sub>) over Hong Kong Using Remote Sensing and GISYuanling ZhaoWenzhong ShiJingzhi WangMan Sing WongAirborne fine particulates (PM<sub>2.5</sub>; 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<sub>2.5</sub> and its correlation with meteorological parameters in Hong Kong, during 2007–2008. Significant diurnal variations of PM<sub>2.5</sub> 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<sub>2.5 </sub>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<sub>2.5</sub> 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<sub>2.5</sub> emissions. To understand the spatial pattern of PM<sub>2.5</sub> 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<sub>2.5</sub> vertical profiles. A Geographic Information Systems (GIS) prototype was developed to integrate atmospheric PM<sub>2.5</sub> vertical profiles with 3D GIS data. An example of the query function in GIS prototype is given. The resulting 3D database of PM<sub>2.5</sub> concentrations provides crucial information to air quality regulators and decision makers to comply with air quality standards and in devising control strategies.http://www.mdpi.com/1424-8220/12/6/6825aerosol optical thicknessGISparticulate matterremote sensingvisualization
collection DOAJ
language English
format Article
sources DOAJ
author Yuanling Zhao
Wenzhong Shi
Jingzhi Wang
Man Sing Wong
spellingShingle Yuanling Zhao
Wenzhong Shi
Jingzhi Wang
Man Sing Wong
Analysis of Airborne Particulate Matter (PM<sub>2.5</sub>) over Hong Kong Using Remote Sensing and GIS
Sensors
aerosol optical thickness
GIS
particulate matter
remote sensing
visualization
author_facet Yuanling Zhao
Wenzhong Shi
Jingzhi Wang
Man Sing Wong
author_sort Yuanling Zhao
title Analysis of Airborne Particulate Matter (PM<sub>2.5</sub>) over Hong Kong Using Remote Sensing and GIS
title_short Analysis of Airborne Particulate Matter (PM<sub>2.5</sub>) over Hong Kong Using Remote Sensing and GIS
title_full Analysis of Airborne Particulate Matter (PM<sub>2.5</sub>) over Hong Kong Using Remote Sensing and GIS
title_fullStr Analysis of Airborne Particulate Matter (PM<sub>2.5</sub>) over Hong Kong Using Remote Sensing and GIS
title_full_unstemmed Analysis of Airborne Particulate Matter (PM<sub>2.5</sub>) over Hong Kong Using Remote Sensing and GIS
title_sort analysis of airborne particulate matter (pm<sub>2.5</sub>) over hong kong using remote sensing and gis
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2012-05-01
description Airborne fine particulates (PM<sub>2.5</sub>; 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<sub>2.5</sub> and its correlation with meteorological parameters in Hong Kong, during 2007–2008. Significant diurnal variations of PM<sub>2.5</sub> 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<sub>2.5 </sub>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<sub>2.5</sub> 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<sub>2.5</sub> emissions. To understand the spatial pattern of PM<sub>2.5</sub> 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<sub>2.5</sub> vertical profiles. A Geographic Information Systems (GIS) prototype was developed to integrate atmospheric PM<sub>2.5</sub> vertical profiles with 3D GIS data. An example of the query function in GIS prototype is given. The resulting 3D database of PM<sub>2.5</sub> concentrations provides crucial information to air quality regulators and decision makers to comply with air quality standards and in devising control strategies.
topic aerosol optical thickness
GIS
particulate matter
remote sensing
visualization
url http://www.mdpi.com/1424-8220/12/6/6825
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