Model reduction of stochastic groundwater flow and transport processes

This work presents a comprehensive methodology for the reduction of analytical or numerical stochastic models characterized by uncertain input parameters or boundary conditions. The technique, based on the Polynomial Chaos Expansion (PCE) theory, represents a versatile solution to solve direct or in...

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Bibliographic Details
Main Author: Ciriello, Valentina <1983>
Other Authors: Di Federico, Vittorio
Format: Doctoral Thesis
Language:en
Published: Alma Mater Studiorum - Università di Bologna 2013
Subjects:
Online Access:http://amsdottorato.unibo.it/5937/
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spelling ndltd-unibo.it-oai-amsdottorato.cib.unibo.it-59372014-03-24T16:30:51Z Model reduction of stochastic groundwater flow and transport processes Ciriello, Valentina <1983> ICAR/01 Idraulica This work presents a comprehensive methodology for the reduction of analytical or numerical stochastic models characterized by uncertain input parameters or boundary conditions. The technique, based on the Polynomial Chaos Expansion (PCE) theory, represents a versatile solution to solve direct or inverse problems related to propagation of uncertainty. The potentiality of the methodology is assessed investigating different applicative contexts related to groundwater flow and transport scenarios, such as global sensitivity analysis, risk analysis and model calibration. This is achieved by implementing a numerical code, developed in the MATLAB environment, presented here in its main features and tested with literature examples. The procedure has been conceived under flexibility and efficiency criteria in order to ensure its adaptability to different fields of engineering; it has been applied to different case studies related to flow and transport in porous media. Each application is associated with innovative elements such as (i) new analytical formulations describing motion and displacement of non-Newtonian fluids in porous media, (ii) application of global sensitivity analysis to a high-complexity numerical model inspired by a real case of risk of radionuclide migration in the subsurface environment, and (iii) development of a novel sensitivity-based strategy for parameter calibration and experiment design in laboratory scale tracer transport. Alma Mater Studiorum - Università di Bologna Di Federico, Vittorio 2013-05-31 Doctoral Thesis PeerReviewed application/pdf en http://amsdottorato.unibo.it/5937/ info:eu-repo/semantics/openAccess
collection NDLTD
language en
format Doctoral Thesis
sources NDLTD
topic ICAR/01 Idraulica
spellingShingle ICAR/01 Idraulica
Ciriello, Valentina <1983>
Model reduction of stochastic groundwater flow and transport processes
description This work presents a comprehensive methodology for the reduction of analytical or numerical stochastic models characterized by uncertain input parameters or boundary conditions. The technique, based on the Polynomial Chaos Expansion (PCE) theory, represents a versatile solution to solve direct or inverse problems related to propagation of uncertainty. The potentiality of the methodology is assessed investigating different applicative contexts related to groundwater flow and transport scenarios, such as global sensitivity analysis, risk analysis and model calibration. This is achieved by implementing a numerical code, developed in the MATLAB environment, presented here in its main features and tested with literature examples. The procedure has been conceived under flexibility and efficiency criteria in order to ensure its adaptability to different fields of engineering; it has been applied to different case studies related to flow and transport in porous media. Each application is associated with innovative elements such as (i) new analytical formulations describing motion and displacement of non-Newtonian fluids in porous media, (ii) application of global sensitivity analysis to a high-complexity numerical model inspired by a real case of risk of radionuclide migration in the subsurface environment, and (iii) development of a novel sensitivity-based strategy for parameter calibration and experiment design in laboratory scale tracer transport.
author2 Di Federico, Vittorio
author_facet Di Federico, Vittorio
Ciriello, Valentina <1983>
author Ciriello, Valentina <1983>
author_sort Ciriello, Valentina <1983>
title Model reduction of stochastic groundwater flow and transport processes
title_short Model reduction of stochastic groundwater flow and transport processes
title_full Model reduction of stochastic groundwater flow and transport processes
title_fullStr Model reduction of stochastic groundwater flow and transport processes
title_full_unstemmed Model reduction of stochastic groundwater flow and transport processes
title_sort model reduction of stochastic groundwater flow and transport processes
publisher Alma Mater Studiorum - Università di Bologna
publishDate 2013
url http://amsdottorato.unibo.it/5937/
work_keys_str_mv AT ciriellovalentina1983 modelreductionofstochasticgroundwaterflowandtransportprocesses
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