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dc.contributor.authorTiwari, Parulen
dc.contributor.authorKulasiri, Gamalathge D.en
dc.contributor.authorSamarasinghe, Sandhyaen
dc.contributor.editorElsawah, S.en
dc.date.accessioned2020-01-30T21:46:18Z
dc.date.available2019-12en
dc.date.created2019-12-06en
dc.date.issued2019-12en
dc.identifier.isbn9780975840092en
dc.identifier.urihttps://hdl.handle.net/10182/11376
dc.description.abstractPertinent mathematical modelling plays pivot role in making groundwater protection and reclamation policies. Uncertain parameters and several basic phenomena in almost all branches of engineering and science can be modelled efficiently with the help of Stochastic Partial Differential Equations (SPDEs) and their behaviour can be interpreted more accurately. The intent of the present study is to use an efficient numerical approach based on Wiener chaos expansion to understand the stochastic nature of variables associated with groundwater flow. First and second order moments of concentration profile are calculated and plotted graphically. Obtained results are in good agreement with those available in existing literature.en
dc.format.extent1077-1083en
dc.language.isoenen
dc.publisherModelling and Simulation Society of Australia and New Zealanden
dc.relationThe original publication is available from - Modelling and Simulation Society of Australia and New Zealand - https://doi.org/10.36334/modsim.2019.k14.tiwari - https://mssanz.org.au/modsim2019/en
dc.relation.urihttps://doi.org/10.36334/modsim.2019.k14.tiwarien
dc.rights© The Authors and Modelling and Simulation Society of Australia and New Zealanden
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.source23rd International Congress on Modelling and Simulation (MODSIM2019)en
dc.subjectstochastic partial differential equationsen
dc.subjectWiener chaosen
dc.subjecthermite polynomialsen
dc.subjectstochastic simulationen
dc.subjectbrownian motionen
dc.titleRole of Wiener chaos expansion in modelling randomness for groundwater contamination flowen
dc.typeConference Contribution - Published
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Agriculture and Life Sciencesen
lu.contributor.unitDepartment of Wine, Food and Molecular Biosciencesen
lu.contributor.unitFaculty of Environment, Society and Designen
lu.contributor.unitDepartment of Environmental Managementen
dc.identifier.doi10.36334/modsim.2019.k14.tiwarien
dc.subject.anzsrc080110 Simulation and Modellingen
dc.subject.anzsrc0802 Computation Theory and Mathematicsen
dc.subject.anzsrc040608 Surfacewater Hydrologyen
pubs.finish-date2019-12-06en
pubs.notesTheme: Supporting evidence-based decision making: the role of modelling and simulation. Paper available publicly at https://modsim2019.exordo.com/programme/presentation/160en
pubs.organisational-group/LU
pubs.organisational-group/LU/Agriculture and Life Sciences
pubs.organisational-group/LU/Agriculture and Life Sciences/WFMB
pubs.organisational-group/LU/Faculty of Environment, Society and Design
pubs.organisational-group/LU/Faculty of Environment, Society and Design/DEM
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/QE18
pubs.publication-statusPublished onlineen
pubs.publisher-urlhttps://mssanz.org.au/modsim2019/en
pubs.start-date2019-12-01en
dc.rights.licenceAttributionen
lu.identifier.orcid0000-0001-8744-1578
lu.identifier.orcid0000-0003-2943-4331
lu.subtypeConference Paperen


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