Probabilistic analysis of groundwater and radionuclide transport model from near surface disposal facilities

Geetha Manjari, K and Sivakumar Babu, GL (2017) Probabilistic analysis of groundwater and radionuclide transport model from near surface disposal facilities. In: Georisk, 12 (1). pp. 60-73.

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Abstract

As per the regulatory requirements controlling the disposal of radioactive waste, the performance of waste disposal facilities needs to be assessed quantitatively using predictive models. This estimates the potential impact of disposal on the environment and public health. Near Surface Disposal Facilities (NSDFs), constructed to contain the low level radioactive waste are considered to model the radionuclide migration from the system to the geo-sphere. The radiation dose experienced by an individual through drinking water pathway is the endpoint of assessment of the model. A three dimensional groundwater contaminant transport model with a decaying source is modelled numerically to determine the radiation dose for short-lived and long-lived radionuclides. The consideration of uncertainties constitutes an intrinsic part of modelling. The uncertain input parameters include porosity, longitudinal dispersivity, transverse dispersivity, diffusion coefficient and distribution coefficient. The uncertainty propagation and quantification is carried out using collocation based stochastic response surface method (CSRSM). To run the simulations for the huge set of input, a code is developed using built-in python interface in the numerical model. The results are processed further to obtain the sensitive parameters affecting the output concentrations. Further, the probability of radiation dose exceeding permissible value is estimated by subset simulation.

Item Type:	Journal Article
Publication:	Georisk
Publisher:	Taylor and Francis Ltd.
Additional Information:	The copyright for this article belongs to the Informa UK Limited, trading as Taylor & Francis Group.
Keywords:	Near surface disposal facilities (NSDF)/barrier systems; numerical modelling (FEFLOW); polynomial chaos expansion; reliability analysis; sensitivity analysis
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	14 Aug 2022 05:40
Last Modified:	14 Aug 2022 05:40
URI:	https://eprints.iisc.ac.in/id/eprint/75698

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