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
MOHAMMAD SYAZWAN MOHD SANUSI *
Department of Physics, Faculty of Science, University Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
AHMAD TERMIZI RAMLI
Department of Physics, Faculty of Science, University Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
MUHAMMAD HISYAM LEE
Department of Mathematical Sciences, Faculty of Science, University Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
HUSIN WAGIRAN
Department of Physics, Faculty of Science, University Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
MOHD NOR SAID
Institute of Environmental & Water Resource Management, Faculty of Civil Engineering, University Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia.
ARIEN HERYANSHAH
Department of Geoinformation, Faculty of Geoinformation and Real Estate, University Teknologi Malaysia, 81310 Skudai, 5 Johor Bahru, Malaysia.
*Author to whom correspondence should be addressed.
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