Neural Networks Simulation of the Transport of Contaminants in Groundwater

DOI

10.2991/ijcis.2009.2.3.8How to use a DOI?

Keywords

Keywords: Neural networks, performance assessment of radioactive waste repositories, groundwater contaminant transport, advection-dispersion.

Abstract

The performance assessment of an engineered solution for the disposal of radioactive wastes is based on mathematical models of the disposal system response to predefined accidental scenarios, within a probabilistic approach to account for the involved uncertainties. As the most significant potential pathway for the return of radionuclides to the biosphere is groundwater flow, intensive computational efforts are devoted to simulating the behaviour of the groundwater system surrounding the waste deposit, for different values of its hydrogeological parameters and for different evolution scenarios. In this paper, multilayered neural networks are trained to simulate the transport of contaminants in monodimensional and bidimensional aquifers. The results obtained in two case studies indicate that the approximation errors are within the uncertainties which characterize the input data.

Copyright

© 2009, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Enrico Zio
PY  - 2009
DA  - 2009/10/01
TI  - Neural Networks Simulation of the Transport of Contaminants in Groundwater
JO  - International Journal of Computational Intelligence Systems
SP  - 267
EP  - 276
VL  - 2
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.3.8
DO  - 10.2991/ijcis.2009.2.3.8
ID  - Zio2009
ER  -