The Relative Importance of Head, Flux and Prior Information in Hydraulic Tomography Analysis

Persistent Link:
http://hdl.handle.net/10150/556860
Title:
The Relative Importance of Head, Flux and Prior Information in Hydraulic Tomography Analysis
Author:
Tso, Chak Hau Michael
Issue Date:
2015
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Embargo:
Release after 12-May-2016
Abstract:
Using cross-correlation analysis, we demonstrate that flux measurements at observation locations during hydraulic tomography (HT) surveys carry non-redundant information about heterogeneity that are complementary to head measurements at the same locations. We then hypothesize that a joint interpretation of head and flux data can enhance the resolution of HT estimates. Subsequently, we use numerical experiments to test this hypothesis and investigate the impact of stationary and non-stationary hydraulic conductivity field, and prior information such as correlation lengths, and initial mean models (uniform or distributed means) on HT estimates. We find that flux and head data from HT have already possessed sufficient heterogeneity characteristics of aquifers. While prior information (as uniform mean or layered means, correlation scales) could be useful, its influence on the estimates is limited as more non-redundant data are used in the HT analysis (see Yeh and Liu [2000]). Lastly, some recommendation for conducting HT surveys and analysis are presented.
Type:
text; Electronic Thesis
Keywords:
geostatistics; groundwater; hydraulic tomography; inverse modeling; prior information; Hydrology; flux
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Hydrology
Degree Grantor:
University of Arizona
Advisor:
Yeh, Tian-Chyi Jim

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleThe Relative Importance of Head, Flux and Prior Information in Hydraulic Tomography Analysisen_US
dc.creatorTso, Chak Hau Michaelen
dc.contributor.authorTso, Chak Hau Michaelen
dc.date.issued2015en
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.description.releaseRelease after 12-May-2016en
dc.description.abstractUsing cross-correlation analysis, we demonstrate that flux measurements at observation locations during hydraulic tomography (HT) surveys carry non-redundant information about heterogeneity that are complementary to head measurements at the same locations. We then hypothesize that a joint interpretation of head and flux data can enhance the resolution of HT estimates. Subsequently, we use numerical experiments to test this hypothesis and investigate the impact of stationary and non-stationary hydraulic conductivity field, and prior information such as correlation lengths, and initial mean models (uniform or distributed means) on HT estimates. We find that flux and head data from HT have already possessed sufficient heterogeneity characteristics of aquifers. While prior information (as uniform mean or layered means, correlation scales) could be useful, its influence on the estimates is limited as more non-redundant data are used in the HT analysis (see Yeh and Liu [2000]). Lastly, some recommendation for conducting HT surveys and analysis are presented.en
dc.typetexten
dc.typeElectronic Thesisen
dc.subjectgeostatisticsen
dc.subjectgroundwateren
dc.subjecthydraulic tomographyen
dc.subjectinverse modelingen
dc.subjectprior informationen
dc.subjectHydrologyen
dc.subjectfluxen
thesis.degree.nameM.S.en
thesis.degree.levelmastersen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineHydrologyen
thesis.degree.grantorUniversity of Arizonaen
dc.contributor.advisorYeh, Tian-Chyi Jimen
dc.contributor.committeememberFerre, Ty P. A.en
dc.contributor.committeememberMok, Chin Man W.en
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