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Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing

The use of Geographic Information Systems (GIS) and Remote Sensing (RS) by climatologists, environmentalists and urban planners for three dimensional modeling and visualization of the landscape is well established. However no previous study has implemented these techniques for 3D modeling of atmosph...

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Detalles Bibliográficos
Autores principales: Wong, Man Sing, Nichol, Janet E., Lee, Kwon Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291916/
https://www.ncbi.nlm.nih.gov/pubmed/22408531
http://dx.doi.org/10.3390/s90604380
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author Wong, Man Sing
Nichol, Janet E.
Lee, Kwon Ho
author_facet Wong, Man Sing
Nichol, Janet E.
Lee, Kwon Ho
author_sort Wong, Man Sing
collection PubMed
description The use of Geographic Information Systems (GIS) and Remote Sensing (RS) by climatologists, environmentalists and urban planners for three dimensional modeling and visualization of the landscape is well established. However no previous study has implemented these techniques for 3D modeling of atmospheric aerosols because air quality data is traditionally measured at ground points, or from satellite images, with no vertical dimension. This study presents a prototype for modeling and visualizing aerosol vertical profiles over a 3D urban landscape in Hong Kong. The method uses a newly developed technique for the derivation of aerosol vertical profiles from AERONET sunphotometer measurements and surface visibility data, and links these to a 3D urban model. This permits automated modeling and visualization of aerosol concentrations at different atmospheric levels over the urban landscape in near-real time. Since the GIS platform permits presentation of the aerosol vertical distribution in 3D, it can be related to the built environment of the city. Examples are given of the applications of the model, including diagnosis of the relative contribution of vehicle emissions to pollution levels in the city, based on increased near-surface concentrations around weekday rush-hour times. The ability to model changes in air quality and visibility from ground level to the top of tall buildings is also demonstrated, and this has implications for energy use and environmental policies for the tall mega-cities of the future.
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spelling pubmed-32919162012-03-09 Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing Wong, Man Sing Nichol, Janet E. Lee, Kwon Ho Sensors (Basel) Article The use of Geographic Information Systems (GIS) and Remote Sensing (RS) by climatologists, environmentalists and urban planners for three dimensional modeling and visualization of the landscape is well established. However no previous study has implemented these techniques for 3D modeling of atmospheric aerosols because air quality data is traditionally measured at ground points, or from satellite images, with no vertical dimension. This study presents a prototype for modeling and visualizing aerosol vertical profiles over a 3D urban landscape in Hong Kong. The method uses a newly developed technique for the derivation of aerosol vertical profiles from AERONET sunphotometer measurements and surface visibility data, and links these to a 3D urban model. This permits automated modeling and visualization of aerosol concentrations at different atmospheric levels over the urban landscape in near-real time. Since the GIS platform permits presentation of the aerosol vertical distribution in 3D, it can be related to the built environment of the city. Examples are given of the applications of the model, including diagnosis of the relative contribution of vehicle emissions to pollution levels in the city, based on increased near-surface concentrations around weekday rush-hour times. The ability to model changes in air quality and visibility from ground level to the top of tall buildings is also demonstrated, and this has implications for energy use and environmental policies for the tall mega-cities of the future. Molecular Diversity Preservation International (MDPI) 2009-06-04 /pmc/articles/PMC3291916/ /pubmed/22408531 http://dx.doi.org/10.3390/s90604380 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, 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
Wong, Man Sing
Nichol, Janet E.
Lee, Kwon Ho
Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing
title Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing
title_full Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing
title_fullStr Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing
title_full_unstemmed Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing
title_short Modeling of Aerosol Vertical Profiles Using GIS and Remote Sensing
title_sort modeling of aerosol vertical profiles using gis and remote sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291916/
https://www.ncbi.nlm.nih.gov/pubmed/22408531
http://dx.doi.org/10.3390/s90604380
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