scholarly journals Potential radionuclide emissions from stacks on the Hanford site, Part 2: Dose assessment methodology using portable low-resolution gamma spectroscopy

10.2172/95656 ◽  
1995 ◽  
Author(s):  
J M Barnett

Author(s):  
Martha McBarron ◽  
Jim Cassidy ◽  
Louise Hutton

The legacy of alpha contamination in an exterior disused storage area at the Low Level Waste Repository (LLWR) presented difficult challenges with regard to assessment and remediation. The area was heavily overgrown, with degraded remnant surfaces and debris from past demolition activities. The use of conventional field instruments and/or an extensive intrusive sampling programme were precluded as being impractical, the latter prohibitively costly and not expeditious. This paper describes the identification of a cost-effective alternative for the initial site assessment and the role of LRGS in the subsequent remediation work. It includes: 1 identification and selection of a field instrumentation/system for investigating the site. 2 details of the TERRIER™ system, incorporating the SAM935 Low Resolution Gamma Spectrometer (LRGS) with the capability of real time identification of nuclides. 3 use of the TERRIER™ for a non-intrusive survey of the site, with rapid transformation of field data into informative plots useful for remediation planning. 4 use of the TERRIER™ during remediation work, including assay of arisings. 5 benefits and limitations of using LRGS to support remediation of alpha contamination. 6 application of the instrumentation/system to other radiological investigations.



Author(s):  
Chris F. Robinson ◽  
Cody J. Murray ◽  
Luciana Meli ◽  
Anuja De Silva ◽  
Dario Goldfarb ◽  
...  


1994 ◽  
Author(s):  
W.E. Davis ◽  
J.M. Barnett ◽  
J.L. Kenoyer
Keyword(s):  


Author(s):  
Muhammad Sholih Fajri ◽  
Nizar Septian ◽  
Edy Sanjaya

Abstrak Pada artikel ini kami mengevaluasi bagaimana implementasi algoritma machine learning k-Nearest Neighbors (kNN) pada data spektroskopi gamma beresolusi rendah. Penelitian ini bertujuan untuk mengetahui bagaimana performa kNN dalam mempelajari data tersebut. Kami melakukan berbagai variasi, yaitu: jumlah data training, jumlah data tes, jenis metric, dan nilai k untuk memperoleh performa terbaik dari algoritma ini. Data spektroskopi gamma diambil menggunakan sintilator NaI(Tl) Leybold Didactic dengan resolusi energi sebesar 10.9 keV per channel. Hasil variasi menunjukkan bahwa algoritma kNN memberikan hasil prediksi klasifikasi radioisotop yang sangat fluktuatif.  Abstract In this paper we evaluate the implementation of a machine learning algorithm namely k-Nearest Neighbors (kNN) on low resolution gamma spectroscopy data. The aim is to provide the information of how well the algorithm performs on learning the data. We did the variation of number of training and test data, type of metric used, and values of k in order to see the best performance of the algorithm. The gamma spectroscopy data were taken using NaI(Tl) scintillator made by Leybold Didactic with resolution of 10.9 keV per channel. The variations show that the kNN algorithm produce significantly fluctuating accuracy to the prediction of radioisotope class.



Author(s):  
Hironobu Iwanami ◽  
Tomoharu Hashimoto ◽  
Motoi Tanaka ◽  
Ryuichi Tayama ◽  
Satoshi Mizuno ◽  
...  

Abstract A dose assessment methodology was developed for IS-LOCA (Interface System – Loss of Coolant Accident) event, which is one of the design basis accidents in BWR plants, and a dose assessment at site boundary was implemented for the accident scenario by applying the evaluation method. The main objective of the assessment is to review a conventional conservative dose assessment model in the accident scenario. The conventional conservative model is a method due to considering all fission products (FP) in liquid migrate to airborne (i.e. 100%) when reactor water is discharged from piping break area, while the developed new methodology is a method to evaluate transition behavior of fission products precisely by using flash fraction (FF) from liquid to airborne and consider it. As the result of dose assessment, it was confirmed that the calculated dose during IS-LOCA event was about one-fifteith reduced by adopting the new model from the conventional model. The content of this paper includes: • Background and purpose that led to the dose assessment methodology development during IS-LOCA. • An evaluation method by using discharged amount of reactor water at piping break area and flash fraction (FF) from liquid to airborne based on Regulatory guide 1.183 published by U.S. NRC. • Another evaluation method that takes into account the fluctuation due to depressurization of reactor pressure per time step from the start of accident until completion of isolation at piping break area in addition to the above method. • Comparison between dose results at site boundary based on these methods and conventional conservative model. This results will give a precise information for public and it will be useful for making emergency evacuation plan.





Sign in / Sign up

Export Citation Format

Share Document