A New Application of Dynamic Data Driven System in the Talbot-Ogden Model for Groundwater Infiltration

Handle URI:
http://hdl.handle.net/10754/552451
Title:
A New Application of Dynamic Data Driven System in the Talbot-Ogden Model for Groundwater Infiltration
Authors:
Yu, Han; Douglas, Craig C.; Ogden, Fred L.
Abstract:
The TalbotOgden model is a mass conservative method to simulate flow of a wetting liquid in variably-saturated porous media. The principal feature of this model is the discretization of the moisture content domain into bins. This paper gives an analysis of the relationship between the number of bins and the computed flux. Under the circumstances of discrete bins and discontinuous wetting fronts, we show that fluxes increase with the number of bins. We then apply this analysis to the continuous case and get an upper bound of the difference of infiltration rates when the number of bins tends to infinity. We also extend this model by creating a two dimensional moisture content domain so that there exists a probability distribution of the moisture content for different soil systems. With these theoretical and experimental results and using a Dynamic Data Driven Application System (DDDAS), sensors can be put in soils to detect the infiltration fluxes, which are important to compute the proper number of bins for a specific soil system and predict fluxes. Using this feedback control loop, the extended TalbotOgden model can be made more efficient for estimating infiltration into soils.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
A New Application of Dynamic Data Driven System in the Talbot-Ogden Model for Groundwater Infiltration 2012, 9:1073 Procedia Computer Science
Journal:
Procedia Computer Science
Conference/Event name:
12th Annual International Conference on Computational Science, ICCS 2012
Issue Date:
2-Jun-2012
DOI:
10.1016/j.procs.2012.04.116
Type:
Conference Paper
ISSN:
18770509
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1877050912002372
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYu, Hanen
dc.contributor.authorDouglas, Craig C.en
dc.contributor.authorOgden, Fred L.en
dc.date.accessioned2015-05-07T13:50:36Zen
dc.date.available2015-05-07T13:50:36Zen
dc.date.issued2012-06-02en
dc.identifier.citationA New Application of Dynamic Data Driven System in the Talbot-Ogden Model for Groundwater Infiltration 2012, 9:1073 Procedia Computer Scienceen
dc.identifier.issn18770509en
dc.identifier.doi10.1016/j.procs.2012.04.116en
dc.identifier.urihttp://hdl.handle.net/10754/552451en
dc.description.abstractThe TalbotOgden model is a mass conservative method to simulate flow of a wetting liquid in variably-saturated porous media. The principal feature of this model is the discretization of the moisture content domain into bins. This paper gives an analysis of the relationship between the number of bins and the computed flux. Under the circumstances of discrete bins and discontinuous wetting fronts, we show that fluxes increase with the number of bins. We then apply this analysis to the continuous case and get an upper bound of the difference of infiltration rates when the number of bins tends to infinity. We also extend this model by creating a two dimensional moisture content domain so that there exists a probability distribution of the moisture content for different soil systems. With these theoretical and experimental results and using a Dynamic Data Driven Application System (DDDAS), sensors can be put in soils to detect the infiltration fluxes, which are important to compute the proper number of bins for a specific soil system and predict fluxes. Using this feedback control loop, the extended TalbotOgden model can be made more efficient for estimating infiltration into soils.en
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050912002372en
dc.rightsArchived with thanks to Procedia Computer Science. http://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectBinen
dc.subjectDataen
dc.subjectFluxen
dc.subjectInfiltrationen
dc.subjectMoisture content domainen
dc.titleA New Application of Dynamic Data Driven System in the Talbot-Ogden Model for Groundwater Infiltrationen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalProcedia Computer Scienceen
dc.conference.date2012-06-04 to 2012-06-06en
dc.conference.name12th Annual International Conference on Computational Science, ICCS 2012en
dc.conference.locationOmaha, NB, USAen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionUniversity of Wyoming, School of Energy Resources and Mathematics Department, Laramie, WY 82071, USAen
dc.contributor.institutionUniversity of Wyoming, Department of Civil and Architectural Engineering, Laramie, WY 82071, USAen
kaust.authorYu, Hanen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.