Quantification of aquifer recharge distribution using environmental isotopes and regional hydrochemistry

Persistent Link:
http://hdl.handle.net/10150/191088
Title:
Quantification of aquifer recharge distribution using environmental isotopes and regional hydrochemistry
Author:
Adar, Eilon.
Issue Date:
1984
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.
Abstract:
A mathematical model is proposed to estimate annual recharge rates from various sources into an aquifer, based on chemical and isotopic data. The aquifer is divided into mixing cells. For each mixing cell, annual mass balance equations are written which express the conservation of water, dissolved chemicals, and stable environmental isotopes. These equations are solved simultaneously for unknown recharge rates by quadratic programming. A similar approach was used earlier to estimate inflows into a river reach which acts as a single mixing cell. The sensitivity of the model to input errors is analyzed by applying it to synthetic data corrupted by artificial noise. The ability of the model to deal with real data is illustrated by applying it to the semiarid Aravaipa basin in southern Arizona.
Type:
Dissertation-Reproduction (electronic); text
Keywords:
Hydrology.; Artificial groundwater recharge -- Mathematical models.; Artificial groundwater recharge -- Arizona -- Aravaipa Basin.
Degree Name:
Ph. D.
Degree Level:
doctoral
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Neuman, Shlomo P.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleQuantification of aquifer recharge distribution using environmental isotopes and regional hydrochemistryen_US
dc.creatorAdar, Eilon.en_US
dc.contributor.authorAdar, Eilon.en_US
dc.date.issued1984en_US
dc.publisherThe University of Arizona.en_US
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_US
dc.description.abstractA mathematical model is proposed to estimate annual recharge rates from various sources into an aquifer, based on chemical and isotopic data. The aquifer is divided into mixing cells. For each mixing cell, annual mass balance equations are written which express the conservation of water, dissolved chemicals, and stable environmental isotopes. These equations are solved simultaneously for unknown recharge rates by quadratic programming. A similar approach was used earlier to estimate inflows into a river reach which acts as a single mixing cell. The sensitivity of the model to input errors is analyzed by applying it to synthetic data corrupted by artificial noise. The ability of the model to deal with real data is illustrated by applying it to the semiarid Aravaipa basin in southern Arizona.en_US
dc.description.notehydrology collectionen_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.typetexten_US
dc.subjectHydrology.en_US
dc.subjectArtificial groundwater recharge -- Mathematical models.en_US
dc.subjectArtificial groundwater recharge -- Arizona -- Aravaipa Basin.en_US
thesis.degree.namePh. D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineHydrology and Water Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairNeuman, Shlomo P.en_US
dc.contributor.committeememberWarrick, Arthur W.en_US
dc.contributor.committeememberSimpson, Eugene S.en_US
dc.contributor.committeememberWoolhiser, David A.en_US
dc.contributor.committeememberMatlock, William G.en_US
dc.contributor.committeememberLong, Austinen_US
dc.identifier.oclc213299539en_US
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