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 Air pollution and its control
Online Access:	https://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF
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id	my-uitm-ir.23214
record_format	uketd_dc
spelling	my-uitm-ir.232142019-02-22T03:27:50Z Spatial interpolation patterns of PM10 based on location of virtual stations / Nur Razan Hayati Zainol 2019-02-18 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 Thesis https://ir.uitm.edu.my/id/eprint/23214/ https://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF text en public degree Universiti Teknologi Mara Perlis Faculty of architecture, planning and surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Geographic information systems Geographic information systems Air pollution and its control
spellingShingle	Geographic information systems Geographic information systems 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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of architecture, planning and surveying
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF
_version_	1783733827497099264

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

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