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dc.contributor.authorTang, Rui-Xuan
dc.contributor.authorCai, Jing-sen
dc.contributor.authorYeh, Tian-Chyi Jim
dc.date.accessioned2019-04-05T20:18:10Z
dc.date.available2019-04-05T20:18:10Z
dc.date.issued2019-03-01
dc.identifier.citationTang, R. , Cai, J. and Yeh, T. J. (2019), Two‐Dimensional Probabilistic Infiltration Analysis in a Hillslope Using First‐Order Moment Approach. Groundwater, 57: 226-237. doi:10.1111/gwat.12791en_US
dc.identifier.issn1745-6584
dc.identifier.pmid29691842
dc.identifier.doi10.1111/gwat.12791
dc.identifier.urihttp://hdl.handle.net/10150/632037
dc.description.abstractA first-order moment analysis method is introduced to evaluate the pore-water pressure variability within a hillslope due to spatial variability in saturated hydraulic conductivity (K-s) during rainfall. The influences of the variance of the natural logarithm of K-s(ln K-s), spatial structure anisotropy of ln K-s, and normalized vertical infiltration flux (q) on the evaluations of the pore-water pressure uncertainty are investigated. Results indicate different responses of pressure head variability in the unsaturated region and the saturated region. In the unsaturated region, a larger variance of ln K-s, a higher spatial structure anisotropy, and a smaller q lead to a larger variability in pressure head, while in the saturated region, the variability in pressure head increases with the increase of variance of ln K-s, the decrease of spatial structure anisotropy, or the increase of q. These variables have great impacts on the range of fluctuation of the phreatic surface within the hillslope. The influences of these three variables on the variance of pressure head within the saturated region are greater than those within the unsaturated region, and the variance of ln K-s has the greatest impact. These results yield useful insight into the effects of heterogeneity on pressure head and uncertainty associated with predicted flow field.en_US
dc.description.sponsorshipFundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) [CUG170686]; China Scholarship Council [201406410032]; National Natural Science Foundation of China [41172282, 41672313]; Strategic Environmental Research and Development Program [ER-1365]; Environmental Security and Technology Certification Program [ER201212]; National Science Foundation-Division of Earth Sciences [1014594]; Outstanding Oversea Professorship award through Jilin University from Department of Education, China; Global Expert award through Tianjin Normal University from the Thousand Talents Plan of Tianjin Cityen_US
dc.language.isoenen_US
dc.publisherWILEYen_US
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/full/10.1111/gwat.12791en_US
dc.rights© 2018, National Ground Water Association.en_US
dc.titleTwo-Dimensional Probabilistic Infiltration Analysis in a Hillslope Using First-Order Moment Approachen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Hydrol & Atmospher Scien_US
dc.identifier.journalGROUNDWATERen_US
dc.description.note12 month embargo; published online: 25 April 2018en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.journaltitleGround water


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