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Prediction of terrestrial gamma dose rate based on geological formations and soil types in the Johor State, Malaysia

Saleh, Muneer Aziz and Ramli, Ahmad Termizi and Hamzah, Khaidzir and Alajerami, Yasser Saleh Mustafa and Moharib, Mohammed and Saeed, Ismael Mohammed (2015) Prediction of terrestrial gamma dose rate based on geological formations and soil types in the Johor State, Malaysia. Journal of Environmental Radioactivity, 148 . pp. 111-122. ISSN 0265-931X

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Official URL: http://dx.doi.org/10.1016/j.jenvrad.2015.05.019

Abstract

This study aims to predict and estimate unmeasured terrestrial gamma dose rate (TGDR) using statistical analysis methods to derive a model from the actual measurement based on geological formation and soil type. The measurements of TGDR were conducted in the state of Johor with a total of 3873 measured points which covered all geological formations, soil types and districts. The measurements were taken 1m above the soil surface using NaI [Ti] detector. The measured gamma dose rates ranged from 9nGyh-1 to 1237nGyh-1 with a mean value of 151nGyh-1. The data have been normalized to fit a normal distribution. Tests of significance were conducted among all geological formations and soil types, using the unbalanced one way ANOVA. The results indicated strong significant differences due to the different geological formations and soil types present in Johor State. Pearson Correlation was used to measure the relations between gamma dose rate based on geological formation and soil type (DG,S) with the gamma dose rate based on geological formation (DG) or soil type (Ds). A very good correlation was found between DG,S and DG or DG,S and Ds. A total of 118 pairs of geological formations and soil types were used to derive the statistical contribution of geological formations and soil types to gamma dose rates. The contribution of the gamma dose rate from geological formation and soil type were found to be 0.594 and 0.399, respectively. The null hypotheses were accepted for 83% of examined data, therefore, the model could be used to predict gamma dose rates based on geological formation and soil type information.

Item Type:Article
Uncontrolled Keywords:geological formation, predication
Subjects:Q Science > QC Physics
Divisions:Science
ID Code:55014
Deposited By: Muhamad Idham Sulong
Deposited On:24 Aug 2016 15:02
Last Modified:24 Aug 2016 15:02

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