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Automatic Parameter Estimation of Hydrogeologic Field Test around Underground Storage Caverns by using Nonlinear Regression Model  

Chung, Il-Moon (Hydrology Research Division, Korea Institute of Construction Technology)
Cho, Won-Cheol (Department of Civil and Environmental Engineering, Yonsei University)
Kim, Nam-Won (Hydrology Research Division, Korea Institute of Construction Technology)
Publication Information
The Journal of Engineering Geology / v.18, no.4, 2008 , pp. 359-369 More about this Journal
Abstract
For the design and effective management of underground storage caverns, preliminary investigation on the hydrogeologic parameters around caverns and analysis on the groundwater flow must be carried out. The data collection is very imporatnat task for the hydrogeologic design so various hydraulic tests have been performed. When analyzing the injection/fall off test data, existing graphical method to estimate the parameters in Theis' equation is widely used. However this method has some sources of error when estimating parameters by means of human faults. Therefore the method of estimating parameters by means of statistical methods such as regression type is evaluated as a useful tool. In this study, nonlinear regression analysis for the Theis' equation is suggested and applied to the estimation of parameters for the real field interference data around underground storage caverns. Damping parameter which reduce the iteration numbers and inhance the convergence is also introduced.
Keywords
underground storage cavern; automatic parameter estimation; nonlinear regression model; convergence; damping parameter;
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