Identification of distributed parameter systems using plural pumping tests and prediction of groundwater flow

Tetsuo Okuno, Makoto Suzuki, Yasuaki Ichikawa

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We propose an identification procedure of distributed parameter systems using the data of plural pumping tests. This procedure is based on the extended Kalman filter algorithm (Bayesian estimation). After the observational data of a pumping test are used to identify the spatially distributed hydraulic conductivities, the estimated values and the covariance matrix are updated iteratively with the observational data of the next pumping tests. The proposed procedure is verified with the simulated data in a model of a groundwater system, and the results are found to be reasonably accurate. Finally, we also demonstrate that the groundwater flow can be predicted with the estimated values and the covariance matrix.

Original languageEnglish
Pages (from-to)165-174
Number of pages10
JournalDoboku Gakkai Rombun-Hokokushu/Proceedings of the Japan Society of Civil Engineers
Issue number493 pt 3-2
Publication statusPublished - Dec 1 1994
Externally publishedYes


ASJC Scopus subject areas

  • Engineering(all)

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