We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method

by Hrishikesh Boruah, Tazid Ali, Palash Dutta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 5
Year of Publication: 2012
Authors: Hrishikesh Boruah, Tazid Ali, Palash Dutta
10.5120/6903-9269

Hrishikesh Boruah, Tazid Ali, Palash Dutta . Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method. International Journal of Computer Applications. 46, 5 ( May 2012), 16-20. DOI=10.5120/6903-9269

@article{ 10.5120/6903-9269,
author = { Hrishikesh Boruah, Tazid Ali, Palash Dutta },
title = { Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 5 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number5/6903-9269/ },
doi = { 10.5120/6903-9269 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:57.759133+05:30
%A Hrishikesh Boruah
%A Tazid Ali
%A Palash Dutta
%T Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 5
%P 16-20
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Many techniques are available when the model is probabilistic. In this paper we consider a related problem of sensitivity analysis when the model includes uncertain variable that can involve both aleatory and epistemic uncertainty and the method of calculation is Probability bounds analysis. In this study, an advanced probabilistic technique called the Double Monte Carlo method is applied to estimate the radiological risk due to SR-90 through ingestion of food items. The variables of the risk model along with the parameters of these variables are described in terms of probability distribution (precise and imprecise).

References
  1. Ferson, S. and Tucker. W.Troy (2006): Sensitivity in Risk Analyses with Uncertain Numbers, Sandia report, SAND2006-2801,Sandia National Laboratories.
  2. Helton J C and Davis F J 2002 Illustration of sampling-based methods for uncertainty and sensitivity analysis Risk Anal 22: 591-622.
  3. Iman, R.L., and J.C. Helton. 1985. A Comparison of Uncertainty and Sensitivity Analysis Techniques for Computer Models. NUREG/CR-3904. National Technical Information Service, Springfield, Virginia. Jeong Hyo- Joon , Hwang Won-Tae, Kim Eun-Han, Han Moon-Hee(2009): Radiological Risk Assessment for an urban area : Focusing on a drinking water contamination. Annal of Nuclear Energy 36 pp(1313-1318).
  4. Karanki Durga Roa, Kushwaha Hari Shankar, Verma Ajit Kumar, and Ajit Srividya : Uncertainty Analysis Based on Probability Bounds (P-Box) Approach in probabilistic Safety Assessment, Risk Analysis, vol. 29, no.5,2009
  5. Morgan MG and Henrion M (1990), Uncertainty; A guide to dealing with uncertainty in quantitative risk and policy analysis. Cambridge University Press, Cambridge,England.
  6. Uncertainty Modeling And Analysis, Edited by H.S.Kushwaha, Bhabha Atomic Research Centre, Mumbai, India.
  7. W.Troy Tucker and Ferson Scott (2003): Probability bounds Analysis in environmental risk assessments, Applied Biomathematics Setauket, New York 1173.
Index Terms

Computer Science
Information Sciences

Keywords

Uncertainty Risk Assessment Double Monte Carlo Sensitivity Analysis