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• W2142979319 abstract "The reliability of predictive and management models for ground water would be improved by better aquifer-parameter estimation. As progress continues in the use of computers to simulate ground-water systems, parallel progress must occur in data collection and analysis. Among the various methods available for the determination of aquifer parameters, pumping tests occupy a prominent position. The maximum advantage is gained from a pumping test when geological knowledge of the aquifer and the analysis of aquifer test data complement each other. This paper presents a technique involving the use of convolution and sensitivity analysis to obtain the “best fit” of aquifer parameters in a least-squares sense from a pumping test with variable pumping rate. The method also can be used to analyze the residual drawdown data obtained during the recovery period. In addition, this method can also analyze drawdown and recovery data conjunctively. Constant drawdown and variable discharge data of artesian flowing wells also can be analyzed by this method. The method is straightforward, quick, inexpensive, and is always objective. No graphical plots or graphical interpretations are needed. As a measure of error, the rms (root-mean-square) error in drawdown is calculated along with the correlation coefficient between pumping-test data and the theoretically generated data, using the converged values of transmissivity and storage coefficient." @default.
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• W2142979319 date "1985-03-01" @default.
• W2142979319 modified "2023-09-26" @default.
• W2142979319 title "Aquifer-Parameter Evaluation from Variable-Rate Pumping Tests Using Convolution and Sensitivity Analysis" @default.
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• W2142979319 doi "https://doi.org/10.1111/j.1745-6584.1985.tb02794.x" @default.
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