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Quasilinearization and the Identification of Aquifer Parameters
Water Resources Research, 1971A new computational procedure based on observations at observation wells is presented to solve the problem of identifying aquifer parameters. This new procedure (quasilinearization), originally developed by Bellman and Kalaba, is an effective way to convert the observations directly to aquifer parameters.
William W‐G. Yeh, George W. Tauxe
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Sequential estimation of aquifer parameters
Water Resources Research, 1988A two‐dimensional “inverse” or “parameter estimation” code was developed for use in the Basalt Waste Isolation Project site characterization program. The method uses a sequential least squares algorithm that incorporates a finite element groundwater flow code.
Allen H. Lu +2 more
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IDENTIFICATION OF PARAMETERS IN INHOMOGENEOUS AQUIFER
Doboku Gakkai Ronbunshu, 1987In this paper, the method to identify the values of transmissivity and storage coefficient and those distribution in inhomogeneous aquifer is investigated in inverse problem. Especially, the importance of the selecting technique of observed head is emphasized, and the reasonable phases for observing is clearly shown with the sensitivity matrix.
Kazuo AOKI, Masashi KAMON
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Parameters that control the cleanup of fractured permeable aquifers
Journal of Contaminant Hydrology, 2008This study develops a modeling approach for simulating and evaluating entrapped light nonaqueous-phase liquid (light NAPL-LNAPL) dissolution and transport of the solute in a fractured permeable aquifer (FPA). The term FPA refers to an aquifer made of porous blocks of high permeability that embed fractures.
Hillel, Rubin +3 more
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Aquifer parameter prediction in leaky aquifers
Journal of Hydrology, 1985Abstract The finite element—least-squares optimization algorithm is utilized to identify the hydrogeologic field parameters of a multi-layer aquifer system. The technique developed relies on accurate steady state piezometric head data for each aquifer in the multi-layered system.
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Evaluation of methods for estimating aquifer hydraulic parameters
Applied Soft Computing, 2015Comparison of time-drawdown plots from graphical, NLP, and ACO techniques for sample confined (datasets C3), unconfined (datasets U4), and leaky (dataset L1) aquifers. We proposed an Ant Colony Optimization (ACO) to estimate the aquifer hydraulic properties.ACO is efficient, and reliable for estimating various aquifer hydraulic parameters from the time-
S. Mohyeddin Bateni +4 more
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Aquifer Parameter Identification
Journal of the Hydraulics Division, 1975This paper presents an analysis of the inverse problem of parameter (or parameters) identification in unsteady ground-water flow. The response of the system is governed by a typical nonlinear second-order partial differential equation for which there exists no closed-form solution. Identification is an inverse process whereby the parameters embedded in
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Cost- and time-effective methodology to evaluate aquifer parameters in coastal aquifers
2012The increasing request of freshwater in coastal areas due to intense anthropization has intensified the research on saltwater intrusion. A sustainable groundwater management requires the estimation of some fundamental aquifer parameters (such as hydraulic conductivity) and their variability in order to quantify the magnitude and direction of ...
GIAMBASTIANI, Beatrice Maria Sole +3 more
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Statistical Evaluation of Parameters in Heterogeneous Aquifers
Journal of Hydrologic Engineering, 2013AbstractTransmissivity and storage estimates are questioned in laterally heterogeneous aquifers as to their representativeness of underlying assumptions in the classical aquifer test methods. For this purpose, the aquifer parameter estimations are obtained by the slope-matching procedure, and their statistical properties are investigated. The change of
Zekai Şen, Essam Wagdani
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Estimation of uranium migration parameters in sandstone aquifers
Journal of Environmental Radioactivity, 2016The chemical composition and isotopes of carbon and uranium were investigated in groundwater samples that were collected from 16 wells and 2 sources in the Northern Dvina Basin, Northwest Russia. Across the dataset, the temperatures in the groundwater ranged from 3.6 to 6.9 °C, the pH ranged from 7.6 to 9.0, the Eh ranged from -137 to +128 mV, the ...
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