Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya

Terrestrial gamma radiation is one of the main constituents of background radiation and the irradiation is due to the terrestrial radioactivity. Health physics study were carried out to obtain the baseline data of radioactivity and terrestrial gama radiation (TGR) level in State of Selangor, Federal...

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Main Author:	Mohd. Sanusi, Mohamad Syazwan
Format:	Thesis
Language:	English
Published:	2014
Subjects:	RA Public aspects of medicine
Online Access:	http://eprints.utm.my/id/eprint/48503/1/MohamadSyazwanSanusiMFS2014.pdf
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spelling	my-utm-ep.485032017-07-05T06:45:54Z Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya 2014 Mohd. Sanusi, Mohamad Syazwan RA Public aspects of medicine Terrestrial gamma radiation is one of the main constituents of background radiation and the irradiation is due to the terrestrial radioactivity. Health physics study were carried out to obtain the baseline data of radioactivity and terrestrial gama radiation (TGR) level in State of Selangor, Federal Territories of Kuala Lumpur and Putrajaya. The study provide a methodology of sampling for TGR dose rate survey and a statistical regression model for predicting the TGR dose rate based on linear relationship between total dose rate with geological background, Dg and soil types, Ds. The TGR dose rate survey, Dm has been conducted using scintillation detector Ludlum 19 micro R meter NaI (Tl). Based on airborne survey map, geological background map and soil survey map, the sampling method was used to determine survey point Dm. For quality control of the sensitive TGR dose rates, Dm at environmental level, a statistical interpolation of gradient between calculated dose rate, Dc and Dm have been carried out to obtain the correction factor, Cf using radioactivity data of ? - rays emitters 238U, 232Th and 40K in soil samples. The analysis of radioactivity concentration of radionuclides 238U, 232Th and 40K in soil samples were carried out using coaxial hyper-purity germanium (HPGe) gamma spectrometer. Based on baseline information of TGR dose rate data from previous research (1995 - 2013), 9884 data were analysed using Shapiro - Wilk, Kolgomorov - Smirnov and Levene statistical test for the normality distribution test. For verification of relationships of geological background and soil types on TGR dose rate, statistical hypothesis analysis of Welch’s ANOVA and Tamhane T2 were carried out. Based on baseline information, statistical regression model was built to predict TGR dose rates, Dp. The study has found that the average value of TGR, Dm dose rate was (182 ± 81) nGy h-1 which is three times higher than global average value and two times higher than average value for Malaysia with measurements range within 17.4 nGy h-1 - 500.0 nGy h-1. The derived equation for statistical regression model for predicting the TGR dose rate was given as Dp = [0.664 Dg + 0.414 Ds - 12.134]. The p value of ANOVA regression model analysis was p < 0.001 with F - ratio (f(2, 983) = 2341.053) and Pearson’s correlation value R is 0.903. At significant level of 0.05, null hypothesis was rejected and it is concluded that the dose rates of Dg and Ds influenced Dp value and there is a strong correlation between geological background and soil types. For statistical verification of the model validity, Dm and Dp data were analysed using ANOVA test and the F - ratio obtained (0.004) is smaller than F - critical (4.08) and H0: µx = µ0 were accepted at (fcal f1, 40, 0.05 = 4.08). Based on obtained regression model and the TGR dose rate survey, the baseline data are presented as an isodose map. 2014 Thesis http://eprints.utm.my/id/eprint/48503/ http://eprints.utm.my/id/eprint/48503/1/MohamadSyazwanSanusiMFS2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:83879?queryType=vitalDismax&query=Kajian+fizik+kesihatan+negeri+Selangor%2C+Wilayah+Persekutuan+Kuala+Lumpur+dan+Putrajaya&public=true masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	RA Public aspects of medicine
spellingShingle	RA Public aspects of medicine Mohd. Sanusi, Mohamad Syazwan Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya
description	Terrestrial gamma radiation is one of the main constituents of background radiation and the irradiation is due to the terrestrial radioactivity. Health physics study were carried out to obtain the baseline data of radioactivity and terrestrial gama radiation (TGR) level in State of Selangor, Federal Territories of Kuala Lumpur and Putrajaya. The study provide a methodology of sampling for TGR dose rate survey and a statistical regression model for predicting the TGR dose rate based on linear relationship between total dose rate with geological background, Dg and soil types, Ds. The TGR dose rate survey, Dm has been conducted using scintillation detector Ludlum 19 micro R meter NaI (Tl). Based on airborne survey map, geological background map and soil survey map, the sampling method was used to determine survey point Dm. For quality control of the sensitive TGR dose rates, Dm at environmental level, a statistical interpolation of gradient between calculated dose rate, Dc and Dm have been carried out to obtain the correction factor, Cf using radioactivity data of ? - rays emitters 238U, 232Th and 40K in soil samples. The analysis of radioactivity concentration of radionuclides 238U, 232Th and 40K in soil samples were carried out using coaxial hyper-purity germanium (HPGe) gamma spectrometer. Based on baseline information of TGR dose rate data from previous research (1995 - 2013), 9884 data were analysed using Shapiro - Wilk, Kolgomorov - Smirnov and Levene statistical test for the normality distribution test. For verification of relationships of geological background and soil types on TGR dose rate, statistical hypothesis analysis of Welch’s ANOVA and Tamhane T2 were carried out. Based on baseline information, statistical regression model was built to predict TGR dose rates, Dp. The study has found that the average value of TGR, Dm dose rate was (182 ± 81) nGy h-1 which is three times higher than global average value and two times higher than average value for Malaysia with measurements range within 17.4 nGy h-1 - 500.0 nGy h-1. The derived equation for statistical regression model for predicting the TGR dose rate was given as Dp = [0.664 Dg + 0.414 Ds - 12.134]. The p value of ANOVA regression model analysis was p < 0.001 with F - ratio (f(2, 983) = 2341.053) and Pearson’s correlation value R is 0.903. At significant level of 0.05, null hypothesis was rejected and it is concluded that the dose rates of Dg and Ds influenced Dp value and there is a strong correlation between geological background and soil types. For statistical verification of the model validity, Dm and Dp data were analysed using ANOVA test and the F - ratio obtained (0.004) is smaller than F - critical (4.08) and H0: µx = µ0 were accepted at (fcal f1, 40, 0.05 = 4.08). Based on obtained regression model and the TGR dose rate survey, the baseline data are presented as an isodose map.
format	Thesis
qualification_level	Master's degree
author	Mohd. Sanusi, Mohamad Syazwan
author_facet	Mohd. Sanusi, Mohamad Syazwan
author_sort	Mohd. Sanusi, Mohamad Syazwan
title	Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya
title_short	Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya
title_full	Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya
title_fullStr	Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya
title_full_unstemmed	Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya
title_sort	kajian fizik kesihatan negeri selangor, wilayah persekutuan kuala lumpur dan putrajaya
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2014
url	http://eprints.utm.my/id/eprint/48503/1/MohamadSyazwanSanusiMFS2014.pdf
_version_	1747817406286266368

Kajian fizik kesihatan negeri Selangor, Wilayah Persekutuan Kuala Lumpur dan Putrajaya

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