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Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol

Air quality monitoring stations is important to monitor the condition of air pollution and to control the air pollution. The limited number of existing air quality monitoring station has limited the accuracy of air quality assessment in Malaysia especially at micro-scale level. The aim of this st...

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Main Author: Zainol, Nur Razan Hayati
Format: Thesis
Language:English
Published: 2019
Subjects:
Geographic information systems
Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
Air pollution and its control
Online Access:http://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF
http://ir.uitm.edu.my/id/eprint/23214/
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spelling my.uitm.ir.232142019-02-22T03:27:50Z http://ir.uitm.edu.my/id/eprint/23214/ Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol Zainol, Nur Razan Hayati Geographic information systems Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation Air pollution and its control Air quality monitoring stations is important to monitor the condition of air pollution and to control the air pollution. The limited number of existing air quality monitoring station has limited the accuracy of air quality assessment in Malaysia especially at micro-scale level. The aim of this study is to determine the spatial interpolation patterns of Particulate Matter (PMIO) based on the location of virtual stations in Pulau Pinang using Landsat 8 Operational Land Imager (OLI) and kriging interpolation method. The objectives are to determine the virtual stations of PMIO and to identify the spatial variation of PMIO asing kriging interpolation on virtual stations. In this study, the satellite image of Landsat 8 OLI which consists of new spectral bands are used to generate virtual stations based on the location of Continuous Air Quality Monitoring (CAQM) stations. Kriging interpolation method is also carried out to identify the spatial variation patterns in order to determine the concentration of PMIO. Based on the result, there are 48 virtual stations generated based on the location of CAQM stations in Pulau Pinang. It is found that the virtual stations within residential area contribute the highest concentration of PMIO pollutants. Overall, the concentration of PMIO based on virtual stations in Pulau Pinang is possible to be identified. The finding has shown that the spatial interpolation pattern of PMIO is possible to be demonstrated based on location of virtual station. This information can be used by environmental department and local authorities for further development. 2019-02-18 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF Zainol, Nur Razan Hayati (2019) Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol. Degree thesis, Universiti Teknologi Mara Perlis.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Geographic information systems
Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
Air pollution and its control
spellingShingle Geographic information systems
Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
Air pollution and its control
Zainol, Nur Razan Hayati
Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol
description Air quality monitoring stations is important to monitor the condition of air pollution and to control the air pollution. The limited number of existing air quality monitoring station has limited the accuracy of air quality assessment in Malaysia especially at micro-scale level. The aim of this study is to determine the spatial interpolation patterns of Particulate Matter (PMIO) based on the location of virtual stations in Pulau Pinang using Landsat 8 Operational Land Imager (OLI) and kriging interpolation method. The objectives are to determine the virtual stations of PMIO and to identify the spatial variation of PMIO asing kriging interpolation on virtual stations. In this study, the satellite image of Landsat 8 OLI which consists of new spectral bands are used to generate virtual stations based on the location of Continuous Air Quality Monitoring (CAQM) stations. Kriging interpolation method is also carried out to identify the spatial variation patterns in order to determine the concentration of PMIO. Based on the result, there are 48 virtual stations generated based on the location of CAQM stations in Pulau Pinang. It is found that the virtual stations within residential area contribute the highest concentration of PMIO pollutants. Overall, the concentration of PMIO based on virtual stations in Pulau Pinang is possible to be identified. The finding has shown that the spatial interpolation pattern of PMIO is possible to be demonstrated based on location of virtual station. This information can be used by environmental department and local authorities for further development.
format Thesis
author Zainol, Nur Razan Hayati
author_facet Zainol, Nur Razan Hayati
author_sort Zainol, Nur Razan Hayati
title Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol
title_short Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol
title_full Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol
title_fullStr Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol
title_full_unstemmed Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol
title_sort spatial interpolation patterns of pm10 based on location of virtual stations / nur razan hayati zainol
publishDate 2019
url http://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF
http://ir.uitm.edu.my/id/eprint/23214/
_version_ 1685649708344672256
score 13.211869

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