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dc.contributor.authorRodrigo, Y
dc.contributor.authorSumithrarachchi, CS
dc.contributor.authorLamabadusuriya, MR
dc.date.accessioned2023-11-06T10:35:06Z
dc.date.available2023-11-06T10:35:06Z
dc.date.issued2023-09
dc.date.submitted2023-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/6914
dc.description.abstractThe depth distribution in soil is required to quantify the radioactivity in environment using in-situ gamma spectroscopy. The conventional approach to determining depth distribution is the core sampling method, which requires samples from several depths in the soil and is a time-consuming process. In-situ gamma spectroscopy can be used as a rapid and e cient way to quantify radioactivity in large areas. The Peak-to-Valley (PTV) method which is based on the attenuation of gamma rays through matter, emerges as a novel approach, enabling the derivation of depth distribution information from insitu gamma spectra without having core samples. The present study aimed to validate the PTV method using the NaI(Tl) detector and obtained a correlation between the PTV ratio and depth distribution. Water was used as the attenuation medium to create different depths and 137Cs and 40K sources were kept at different depths. The NaI(Tl) detector was used to measure spectra at each depth and calculated the PTV ratios. The results show a higher correlation of 2nd order between the PTV ratio and the depth for both 137Cs and 40K. It reveals that the PTV ratio of the in-situ gamma spectrum can be used to derive the depth distribution parameter. The relationship between the PTV ratio and the depth distribution parameter was obtained for several locations. This relationship is used for calibrating in-situ gamma detector which can be used in a similar environment to determine radioactivity.en_US
dc.language.isoenen_US
dc.subjectDepth distributionen_US
dc.subjectIn-situ gamma spectroscopyen_US
dc.subjectPeak-to-valley methoden_US
dc.titleApplication of the Peak-to-Valley Method for in-situ Gamma Spectroscopy Using NaI(Tl) Detectoren_US
dc.typeArticle Abstracten_US
dc.identifier.facultyFaculty of Management, Social Sciences and Humanitiesen_US
dc.identifier.journal16th International Research Conferenceen_US
dc.identifier.pgnos48en_US


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