Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail

Degradation of air quality in Malaysia recently is very concerning and getting worse day by day. Therefore, this study intent to map the air pollution dispersion by acquiring aerosol information using remotely sensed data and then interpolate the information to produce air pollution map. Satellite s...

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Main Author:	Ismail, Suharti
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Remote Sensing Geographic information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/101761/1/101761.pdf
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id	my-uitm-ir.101761
record_format	uketd_dc
spelling	my-uitm-ir.1017612024-11-27T02:04:57Z Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail 2007 Ismail, Suharti Remote Sensing Geographic information systems Degradation of air quality in Malaysia recently is very concerning and getting worse day by day. Therefore, this study intent to map the air pollution dispersion by acquiring aerosol information using remotely sensed data and then interpolate the information to produce air pollution map. Satellite sensors have been used widely in monitoring and observing the atmosphere; nowadays there are a number of sensors capable of monitoring the aerosols, atmosphere and Earth dynamical changing. Abroad studies have shown tremendous results in mapping the air pollution using remotely sensed data and GIS techniques. This research comprises of three different stages; i) data preparation and study area selection, ii) processing stage and iii) data and results analyzing. This study addressed the Klang Valley as the study area and major pollutants (SO2, NO2, O3, CO and PM10) are used in selecting the image and results validation. The software packages used are mainly Erdas Imagine (digital data processing) and ArcGIS (Kriging technique). The method used is based on radiometric comparison between two sets of image; clear and polluted. Clear image is polluted-free image and consumed as reference image while polluted image is the image considered to be contaminated by pollutant. This study investigates the aerosol contents through remotely sensed data for the polluted day. Aerosol optical thickness (AOT) is quantified to represent the amount of pollutant loading in the atmosphere thus presenting the air pollution level. Satellite imageries have to go through several methods; geometric correction, calibration and conversion to apparent reflectance image before calculating of AOT. The image is divided into 625 pixel grids and each grid produces one standard deviation. All standard deviations of the apparent reflectance image are used in formulation of AOT. Certain algorithms and equations are employed in this study. The values of AOT constituted the pollution level and Kriging technique is used to estimate the missing values and generate the air pollution map. Based on the profile result, satellite-derived AOT has proven to be in relationship with the ground data when all the pollutants are considered altogether as well as when they are considered separately. Four bands are used in quantification of AOT and each band resulted in moderately different aerosol dispersion. Therefore, AOT has proven to be a good air quality indicator. The final results are maps showing the air pollution dispersion in the atmosphere based on satellite-derived aerosol values. 2007 Thesis https://ir.uitm.edu.my/id/eprint/101761/ https://ir.uitm.edu.my/id/eprint/101761/1/101761.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Remote Sensing Geographic information systems
spellingShingle	Remote Sensing Geographic information systems Ismail, Suharti Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail
description	Degradation of air quality in Malaysia recently is very concerning and getting worse day by day. Therefore, this study intent to map the air pollution dispersion by acquiring aerosol information using remotely sensed data and then interpolate the information to produce air pollution map. Satellite sensors have been used widely in monitoring and observing the atmosphere; nowadays there are a number of sensors capable of monitoring the aerosols, atmosphere and Earth dynamical changing. Abroad studies have shown tremendous results in mapping the air pollution using remotely sensed data and GIS techniques. This research comprises of three different stages; i) data preparation and study area selection, ii) processing stage and iii) data and results analyzing. This study addressed the Klang Valley as the study area and major pollutants (SO2, NO2, O3, CO and PM10) are used in selecting the image and results validation. The software packages used are mainly Erdas Imagine (digital data processing) and ArcGIS (Kriging technique). The method used is based on radiometric comparison between two sets of image; clear and polluted. Clear image is polluted-free image and consumed as reference image while polluted image is the image considered to be contaminated by pollutant. This study investigates the aerosol contents through remotely sensed data for the polluted day. Aerosol optical thickness (AOT) is quantified to represent the amount of pollutant loading in the atmosphere thus presenting the air pollution level. Satellite imageries have to go through several methods; geometric correction, calibration and conversion to apparent reflectance image before calculating of AOT. The image is divided into 625 pixel grids and each grid produces one standard deviation. All standard deviations of the apparent reflectance image are used in formulation of AOT. Certain algorithms and equations are employed in this study. The values of AOT constituted the pollution level and Kriging technique is used to estimate the missing values and generate the air pollution map. Based on the profile result, satellite-derived AOT has proven to be in relationship with the ground data when all the pollutants are considered altogether as well as when they are considered separately. Four bands are used in quantification of AOT and each band resulted in moderately different aerosol dispersion. Therefore, AOT has proven to be a good air quality indicator. The final results are maps showing the air pollution dispersion in the atmosphere based on satellite-derived aerosol values.
format	Thesis
qualification_level	Master's degree
author	Ismail, Suharti
author_facet	Ismail, Suharti
author_sort	Ismail, Suharti
title	Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail
title_short	Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail
title_full	Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail
title_fullStr	Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail
title_full_unstemmed	Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail
title_sort	mapping of the air pollution dispersion in the klang valley using remote sensing and gis techniques / suharti ismail
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/101761/1/101761.pdf
_version_	1818588013814349824

Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail

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