Development of statistical model for predicting terrestrial gamma radiation dose

IF 1.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES Environmental Forensics Pub Date : 2021-10-07 DOI:10.1080/15275922.2021.1976316
N. Garba, M. Saleh, A. T. Ramli, M. Sanusi, N. A. Abu Hanifah
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引用次数: 1

Abstract

Abstract Natural environmental radioactivity aroused mainly from primordial radionuclides such as 40K and 238U and 232Th decay series, and have been present in varying concentrations within the earth and in the tissue of every living being. Natural radioactivity can be found everywhere; in the soil, public water supplies, oil, and the atmosphere and it poses a measurable exposure to human beings. The present study developed a statistical model that can be used to predict the Terrestrial Gamma Radiation Dose rates (TGRD) based on soil types and geological formations irrespective of the environment. About 295 TGRD measurements were taken using a micro-Roentgen survey meter (model 19) manufactured by Ludlum, from different locations within the study area. Statistical Package for Social Sciences (SPSS) was utilized in establishing the relationships between TGRD with underlying geological formations and soil types as well as in the development of the model. The developed model was tested by predicting the TGRD value over different combinations of soil types and geological formations, and it was found to fit in well with more than 80% degree of accuracy which is within the acceptable limit. The developed model in this study, may help in establishing the background radioactivity levels in a terrestrial environment that can be used to evaluate any changes that may arise as a result of any release due to both natural and or human activities in a certain area.
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地面伽玛辐射剂量预测统计模型的发展
自然环境放射性主要是由40K、238U和232Th衰变系列等原始放射性核素引起的,在地球和每一个生物的组织中都以不同的浓度存在。自然放射性随处可见;在土壤、公共水源、石油和大气中,它对人类构成了可测量的暴露。本研究开发了一个统计模型,可用于预测基于土壤类型和地质构造的地面伽马辐射剂量率(TGRD),而不考虑环境。使用Ludlum制造的微型伦琴测量仪(型号19)在研究区域的不同位置进行了大约295次TGRD测量。社会科学统计软件包(SPSS)用于建立TGRD与底层地质构造和土壤类型之间的关系以及模型的开发。通过对不同土壤类型和地质构造组合的TGRD值进行预测,结果表明该模型拟合良好,准确率达80%以上,在可接受范围内。本研究开发的模型可帮助确定陆地环境的本底放射性水平,用以评估某一地区因自然和/或人类活动而产生的任何释放可能引起的任何变化。
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来源期刊
Environmental Forensics
Environmental Forensics 环境科学-环境科学
CiteScore
4.90
自引率
5.60%
发文量
23
审稿时长
3 months
期刊介绍: Environmental Forensics provides a forum for scientific investigations that address environment contamination, its sources, and the historical reconstruction of its release into the environment. The context for investigations that form the published papers in the journal are often subjects to regulatory or legal proceedings, public scrutiny, and debate. In all contexts, rigorous scientific underpinnings guide the subject investigations. Specifically, the journal is an international, quarterly, peer-reviewed publication offering scientific studies that explore or are relevant to the source, age, fate, transport, as well as human health and ecological effects of environmental contamination. Journal subject matter encompasses all aspects of contamination mentioned above within the environmental media of air, water, soil, sediments and biota. Data evaluation and analysis approaches are highlighted as well including multivariate statistical methods. Journal focus is on scientific and technical information, data, and critical analysis in the following areas: -Contaminant Fingerprinting for source identification and/or age-dating, including (but not limited to) chemical, isotopic, chiral, mineralogical/microscopy techniques, DNA and tree-ring fingerprinting -Specific Evaluative Techniques for source identification and/or age-dating including (but not limited to) historical document and aerial photography review, signature chemicals, atmospheric tracers and markets forensics, background concentration evaluations. -Statistical Evaluation, Contaminant Modeling and Data Visualization -Vapor Intrusion including delineating the source and background values of indoor air contamination -Integrated Case Studies, employing environmental fate techniques -Legal Considerations, including strategic considerations for environmental fate in litigation and arbitration, and regulatory statutes and actions
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