Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method

Boruah, Hrishikesh; Ali, Tazid; Dutta, Palash
May 2012
International Journal of Computer Applications;May2012, Vol. 46, p16
Academic Journal
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).


Related Articles

  • Modelling gross primary production in the Heihe river basin and uncertainty analysis. Li, Shihua; Xiao, Jiangtao; Xu, Wenbo; Yan, Huimin // International Journal of Remote Sensing;Feb2012, Vol. 33 Issue 3, p836 

    Accurate and timely monitoring of gross primary production (GPP) at regional and global scales is necessary for understanding the terrestrial biosphere carbon balance. In this article, 8-day composite GPP is estimated using the region production efficiency model (REG-PEM) in the Heihe river...

  • Selecting the Best Flood Flow Frequency Model Using Multi-Criteria Group Decision-Making. Mohammadpour, Osman; Hassanzadeh, Yousef; Khodadadi, Ahmad; Saghafian, Bahram // Water Resources Management;Sep2014, Vol. 28 Issue 12, p3957 

    Several criteria should be considered when selecting a probability distribution to describe hydrological data. This study examines how multiple criteria can be combined to make the best selection. Selection becomes more difficult and subjective when more than two criteria are used to determine...

  • Severe Wind Hazard Assessment using Monte Carlo Simulation. Sanabria, L. A.; Cechet, R. P. // Environmental Modeling & Assessment;Apr2010, Vol. 15 Issue 2, p147 

    A Monte Carlo-based model to assess severe wind hazard is presented. Synthetic wind datasets for hazard analysis have been generated using Monte Carlo simulation of the physics of severe wind gust generation, to overcome the limitations of data-based statistical models. These statistical models...

  • Chemical-Specific Adjustment Factors for Intraspecies Variability of Acetone Toxicokinetics Using a Probabilistic Approach. Mörk, Anna-Karin; Johanson, Gunnar // Toxicological Sciences;Jul2010, Vol. 116 Issue 1, p336 

    Human health risk assessment has begun to depart from the traditional methods by replacement of the default assessment factors by more reasonable, data-driven, so-called chemical-specific adjustment factors (CSAFs). This study illustrates a scheme for deriving CSAFs in the general and...

  • Monte Carlo approach to fuzzy AHP risk analysis in renewable energy construction projects. Serrano-Gomez, Luis; Munoz-Hernandez, Jose Ignacio // PLoS ONE;6/13/2019, Vol. 14 Issue 6, p1 

    The construction of large renewable energy projects is characterized by the great uncertainties associated with their administrative complexity and their constructive characteristics. For proper management, it is necessary to undertake a thorough project risk assessment prior to construction....

  • Stochastic successive approximation method for assessing the insolvency risk of an insurance company. Norkin, B. V. // Cybernetics & Systems Analysis;Nov2008, Vol. 44 Issue 6, p892 

    A stochastic successive approximation method is analyzed with a view to solving risk assessment problems that are reduced to a renewal integral equation and, in particular, to assessing the insolvency risk of an insurance company. Integrals in the equation are evaluated approximately, for...

  • TL-moments and L-moments Estimation of the Generalized Logistic Distribution. Shabri, Ani; Ahmad, Ummi Nadiah; Zakaria, Zahrahtul Amani // Journal of Mathematics Research;Feb2011, Vol. 3 Issue 1, p97 

    The generalized logistic (GLO) distribution has been used widely in extreme value event evaluation and also popular in hydrological risk analysis. In estimating the high return period events, censoring the data from below might be advantageous since the small floods are less significant to large...

  • Propagation of Data Error and Parametric Sensitivity in Computable General Equilibrium Models. Elliott, Joshua; Franklin, Meredith; Foster, Ian; Munson, Todd; Loudermilk, Margaret // Computational Economics;Mar2012, Vol. 39 Issue 3, p219 

    While computable general equilibrium (CGE) models are a well-established tool in economic analyses, it is often difficult to disentangle the effects of policies of interest from that of the assumptions made regarding the underlying calibration data and model parameters. To characterize the...

  • Using Excel to Perform Monte Carlo Simulations. McKee, Thomas E.; McKee, Linda J. B. // Strategic Finance;Dec2014, Vol. 96 Issue 12, p47 

    The article centers on using Excel to perform Monte Carlo simulations. It discusses the function of sensitivity analysis and the approaches to performing sensitivity analysis including the Monte Carlo simulation. It discusses the first step in creating a Monte Carlo simulation which is deciding...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics