REGRESSION ANALYSIS FOR PREDICTING GAMMA RADIATION EXPOSURE FROM TERRESTRIAL SOURCES BASED ON GEOLOGY AND SOIL TYPES: A CASE STUDY OF SELANGOR, KUALA LUMPUR AND PUTRAJAYA, MALAYSIA

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MOHAMMAD SYAZWAN MOHD SANUSI
AHMAD TERMIZI RAMLI
MUHAMMAD HISYAM LEE
HUSIN WAGIRAN
MOHD NOR SAID
ARIEN HERYANSHAH

Abstract

This study was conducted to implement a statistical approach to predicting the terrestrial gamma dose rate in the State of Selangor, Federal Territories of Kuala Lumpur and Putrajaya, Malaysia. The methodology of predicting the terrestrial gamma radiation dose rate is based on the statistical contribution of dose rates from geological formation and soil type. The aim of this method is to minimize the number of survey points and thus the need for field survey. The predicted dose rate of applied statistical model was compared with the actual dose rate using ANOVA approach. An isodose map of statistical prediction dose rate was produced based on regression model to represent the baseline data of the study area.

Keywords:
Geological background, soil types, gamma radiation exposure, statistical model, isodose map

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How to Cite
MOHD SANUSI, M., RAMLI, A., LEE, M., WAGIRAN, H., SAID, M., & HERYANSHAH, A. (2015). REGRESSION ANALYSIS FOR PREDICTING GAMMA RADIATION EXPOSURE FROM TERRESTRIAL SOURCES BASED ON GEOLOGY AND SOIL TYPES: A CASE STUDY OF SELANGOR, KUALA LUMPUR AND PUTRAJAYA, MALAYSIA. Journal of Applied Physical Science International, 5(3), 145-156. Retrieved from http://ikpress.org/index.php/JAPSI/article/view/3208
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Original Research Article