Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia

A statistical prediction of terrestrial gamma radiation dose rate has been performed, covering the Kota Tinggi district of Peninsular Malaysia. The prediction has been based on geological features and soil types. The purpose of this study is to provide a methodology to statistically predict the gamm...

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Main Authors: Ramli, Ahmad Termizi, Rahman, Ahmad Taufek Abdul, Lee, M.H
Format: Article
Published: Elsevier Ltd. 2003
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Online Access:http://eprints.utm.my/id/eprint/7595/
http://dx.doi.org/10.1016/j.apradiso.2003.08.003
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Institution: Universiti Teknologi Malaysia
id my.utm.7595
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spelling my.utm.75952009-01-09T08:34:20Z http://eprints.utm.my/id/eprint/7595/ Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia Ramli, Ahmad Termizi Rahman, Ahmad Taufek Abdul Lee, M.H QC Physics A statistical prediction of terrestrial gamma radiation dose rate has been performed, covering the Kota Tinggi district of Peninsular Malaysia. The prediction has been based on geological features and soil types. The purpose of this study is to provide a methodology to statistically predict the gamma radiation dose rate with minimum surveying in an area. Results of statistical predictions using the hypothesis test were compared with the actual dose rate obtained by measurements. Elsevier Ltd. 2003-11 Article PeerReviewed Ramli, Ahmad Termizi and Rahman, Ahmad Taufek Abdul and Lee, M.H (2003) Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia. Applied Radiation and Isotopes, 59 (5-6). pp. 393-405. http://dx.doi.org/10.1016/j.apradiso.2003.08.003 10.1016/j.apradiso.2003.08.003
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QC Physics
spellingShingle QC Physics
Ramli, Ahmad Termizi
Rahman, Ahmad Taufek Abdul
Lee, M.H
Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia
description A statistical prediction of terrestrial gamma radiation dose rate has been performed, covering the Kota Tinggi district of Peninsular Malaysia. The prediction has been based on geological features and soil types. The purpose of this study is to provide a methodology to statistically predict the gamma radiation dose rate with minimum surveying in an area. Results of statistical predictions using the hypothesis test were compared with the actual dose rate obtained by measurements.
format Article
author Ramli, Ahmad Termizi
Rahman, Ahmad Taufek Abdul
Lee, M.H
author_facet Ramli, Ahmad Termizi
Rahman, Ahmad Taufek Abdul
Lee, M.H
author_sort Ramli, Ahmad Termizi
title Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia
title_short Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia
title_full Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia
title_fullStr Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia
title_full_unstemmed Statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in Kota Tinggi district, Malaysia
title_sort statistical prediction of terrestrial gamma radiation dose rate based on geological features and soil types in kota tinggi district, malaysia
publisher Elsevier Ltd.
publishDate 2003
url http://eprints.utm.my/id/eprint/7595/
http://dx.doi.org/10.1016/j.apradiso.2003.08.003
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