2010
DOI: 10.1680/wama.2010.163.7.361
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Estimation of aquifer parameters from residual drawdowns

Abstract: Reliable and accurate estimation of aquifer parameters is a key process in efficiently managing the groundwater resources of a region. Today, a number of stochastic optimisation tools are available to solve the non-linear aquifer parameters using gradient-based techniques. However, these tools use conventional stabilisation techniques in estimating the non-linear parameters. In the present study, an attempt was made to accelerate and stabilise the conventional Levenberg-Marquardt algorithm. A generalised Matla… Show more

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Cited by 2 publications
(2 citation statements)
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“…They showed that the drawdown-derivative analysis improves estimation of aquifer parameters and identification of different forms of heterogeneity. Kambhammettu and King [21] estimated the transmissivity and storage coefficient using a generalized MATLAB code with the conventional Levenberg-Marquardt algorithm. They considered the residual drawdowns measurements from a single observation well.…”
Section: Introductionmentioning
confidence: 99%
“…They showed that the drawdown-derivative analysis improves estimation of aquifer parameters and identification of different forms of heterogeneity. Kambhammettu and King [21] estimated the transmissivity and storage coefficient using a generalized MATLAB code with the conventional Levenberg-Marquardt algorithm. They considered the residual drawdowns measurements from a single observation well.…”
Section: Introductionmentioning
confidence: 99%
“…A number of stochastic optimisation tools are available to solve the nonlinear aquifer parameters using gradient-based techniques but also conventional stabilisation techniques. The paper by Kambhammettu and King (2010) demonstrates how to accelerate and stabilise the conventional Levenberg-Marquardt algorithm. A generalised Matlab code was developed to estimate the transmissivity and storage coefficient of the confined aquifer using residual drawdowns in an observation well.…”
mentioning
confidence: 99%