کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1877600 1532112 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multivariate statistical analysis of radiological data of building materials used in Tiruvannamalai, Tamilnadu, India
ترجمه فارسی عنوان
تجزیه و تحلیل آماری چند متغیری از داده های رادیولوژیک مصالح ساختمانی مورد استفاده در تروونهامالی، تامیل لادو، هند
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم تشعشع
چکیده انگلیسی

highlights
• To develop reference data of radiological parameters in building materials.
• The radiological data were processed using multivariate statistical methods.
• The values obtained in the study are within the recommended safety limits.

Using γ spectrometry, the concentration of the naturally occurring radionuclides 226Ra, 232Th and 40K has been measured in soil, sand, cement, clay and bricks, which are used as building materials in Tiruvannamalai, Tamilnadu, India. The radium equivalent activity (Raeq), the criterion formula (CF), indoor gamma absorbed dose rate (DR), annual effective dose (HR), activity utilization index (AUI), alpha index (Iα), gamma index (Iγ), external radiation hazard index (Hex), internal radiation hazard index (Hin), representative level index (RLI), excess lifetime cancer risk (ELCR) and annual gonadal dose equivalent (AGDE) associated with the natural radionuclides are calculated to assess the radiation hazard of the natural radioactivity in the building materials. From the analysis, it is found that these materials used for the construction of dwellings are safe for the inhabitants.The radiological data were processed using multivariate statistical methods to determine the similarities and correlation among the various samples. The frequency distributions for all radionuclides were analyzed. The data set consisted of 15 measured variables. The Pearson correlation coefficient reveals that the 226Ra distribution in building materials is controlled by the variation of the 40K concentration. Principal component analysis (PCA) yields a two-component representation of the acquired data from the building materials in Tiruvannamalai, wherein 94.9% of the total variance is explained. The resulting dendrogram of hierarchical cluster analysis (HCA) classified the 30 building materials into four major groups using 15 variables.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Radiation and Isotopes - Volume 85, February 2014, Pages 114–127
نویسندگان
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