Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah

Air pollution is one the environmental issues that brings global warming. The main factors that lead to the deterioration of air quality are the development and industrial growth and increasing energy consumption. The conventional regression approach such as Ordinary Lease Square (OLS) is not pos...

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Main Author:	Ab.llah, Norziana
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Temperature measurements Global warming
Online Access:	http://ir.uitm.edu.my/id/eprint/22760/ http://ir.uitm.edu.my/id/eprint/22760/1/TD_NORZIANA%20AB.LLAH%20AP%20R%2019.5.PDF

id	uitm-22760
recordtype	eprints
spelling	uitm-227602019-01-23T07:39:36Z http://ir.uitm.edu.my/id/eprint/22760/ Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah Ab.llah, Norziana Temperature measurements Global warming Air pollution is one the environmental issues that brings global warming. The main factors that lead to the deterioration of air quality are the development and industrial growth and increasing energy consumption. The conventional regression approach such as Ordinary Lease Square (OLS) is not possible to represent the effects of temperature to pollutant parameter at local level. The aim of this study is to determine the effects of land surface temperature (LST) on PMIO local variations using Landsat 8- Thermal Infrared Sensor (TIRS) and Geographically Weighted Regression (GWR) approach in 2015 at Penang. The objectives of this study are to generate land surface temperature of study area, to extract value of LST and PMIO on virtual stations, and to determine the relationship between LST and PMIO. The concentrations of PMIO were taken based on CAQM stations at Universiti Sains Malaysia (USM), and two stations at Prai while land surface temperature was derived from a thermal band of Landsat 8-TIRS. By using kiiging interpolation on virtual stations, there were 565 locations utilized to extract the values of LST and PMIO. The strong relationship between LST and PMIO is found based on the local regression analysis of the GWR, (r^=0.606). The result also improved the global regression analysis (r^= 0.026) in the relationship between both variables. In the local variation of the relationship between LST and PMIO, there were 70 locations foxind statistically significant. In conclusion, the regression between satellite remote sensing and local regression approach such as Landsat 8-TIRS and GWR is possible to be used to determine the effect of land surface temperature towards air pollution. 2019-01-14 Thesis NonPeerReviewed other en http://ir.uitm.edu.my/id/eprint/22760/1/TD_NORZIANA%20AB.LLAH%20AP%20R%2019.5.PDF Ab.llah, Norziana (2019) Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah. 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	Temperature measurements Global warming
spellingShingle	Temperature measurements Global warming Ab.llah, Norziana Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah
description	Air pollution is one the environmental issues that brings global warming. The main factors that lead to the deterioration of air quality are the development and industrial growth and increasing energy consumption. The conventional regression approach such as Ordinary Lease Square (OLS) is not possible to represent the effects of temperature to pollutant parameter at local level. The aim of this study is to determine the effects of land surface temperature (LST) on PMIO local variations using Landsat 8- Thermal Infrared Sensor (TIRS) and Geographically Weighted Regression (GWR) approach in 2015 at Penang. The objectives of this study are to generate land surface temperature of study area, to extract value of LST and PMIO on virtual stations, and to determine the relationship between LST and PMIO. The concentrations of PMIO were taken based on CAQM stations at Universiti Sains Malaysia (USM), and two stations at Prai while land surface temperature was derived from a thermal band of Landsat 8-TIRS. By using kiiging interpolation on virtual stations, there were 565 locations utilized to extract the values of LST and PMIO. The strong relationship between LST and PMIO is found based on the local regression analysis of the GWR, (r^=0.606). The result also improved the global regression analysis (r^= 0.026) in the relationship between both variables. In the local variation of the relationship between LST and PMIO, there were 70 locations foxind statistically significant. In conclusion, the regression between satellite remote sensing and local regression approach such as Landsat 8-TIRS and GWR is possible to be used to determine the effect of land surface temperature towards air pollution.
format	Thesis
author	Ab.llah, Norziana
author_facet	Ab.llah, Norziana
author_sort	Ab.llah, Norziana
title	Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah
title_short	Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah
title_full	Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah
title_fullStr	Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah
title_full_unstemmed	Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah
title_sort	effects of land surface temperature on pm10 local variations using [landsat 8-tirs] and [gwr approach] / norziana ab.llah
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/22760/ http://ir.uitm.edu.my/id/eprint/22760/1/TD_NORZIANA%20AB.LLAH%20AP%20R%2019.5.PDF
first_indexed	2023-09-18T23:09:21Z
last_indexed	2023-09-18T23:09:21Z
_version_	1777418697269313536

Effects of land surface temperature on PM10 local variations using [Landsat 8-TIRS] and [GWR approach] / Norziana Ab.llah

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