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 Air pollution and its control
Online Access:	http://ir.uitm.edu.my/id/eprint/23214/ http://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF

id	uitm-23214
recordtype	eprints
spelling	uitm-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 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.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Geographic information systems Environmental conditions. Environmental quality. Environmental indicators Air pollution and its control
spellingShingle	Geographic information systems Environmental conditions. Environmental quality. Environmental indicators 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/ http://ir.uitm.edu.my/id/eprint/23214/1/TD_NUR%20RAZAN%20HAYATI%20ZAINOL%20AP%20R%2019.5.PDF
first_indexed	2023-09-18T23:10:18Z
last_indexed	2023-09-18T23:10:18Z
_version_	1777418757544607744

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

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