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dc.contributor.authorHuang, By Yen-Chenen_US
dc.contributor.authorYeh, Hund-Deren_US
dc.date.accessioned2014-12-08T15:28:12Z-
dc.date.available2014-12-08T15:28:12Z-
dc.date.issued2012-11-01en_US
dc.identifier.issn0920-4741en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11269-012-0128-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/20419-
dc.description.abstractYeh and Chen (J Hydro 342(3-4):283-294, 2007) integrated a slug test solution for a well having a finite-thickness skin with the simulated annealing (SA) to determine the hydraulic parameters of the skin zone and formation zone. Some results obtained in positive-skin scenarios are however not accurate if compared with the target values of the parameters. This study first employs the sensitivity and correlation analyses to quantify the relationship between two normalized sensitivities and analyze the resulting errors in parameter estimates. It is found that the inaccuracy in parameter estimates can be attributed to following two problems: (1) the normalized sensitivities of the skin thickness and hydraulic conductivity are highly correlated and (2) the SA algorithm is very sensitive to round-off error in well-water-level (WWL) data. A parameter identification approach is thus developed based on the extended Kalman filter (EKF) coupled with the solution used by Yeh and Chen (J Hydro 342(3-4):283-294, 2007) to determine the parameters in six positive-skin scenarios where the parameters were not accurately determined before. We show that previous two problems can be overcome by the proposed approach because it is designed to account for uncertainties of measurements. Moreover, the EKF can save 99.8% and 99.9% computing time when compared with the results using the SA in analyzing 20 WWL data and 47 WWL data, respectively.en_US
dc.language.isoen_USen_US
dc.subjectAquiferen_US
dc.subjectParameter identificationen_US
dc.subjectWell skinen_US
dc.subjectCorrelation analysisen_US
dc.subjectExtended Kalman filteren_US
dc.subjectSlug testen_US
dc.titleParameter Identification for a Slug Test in a Well with Finite-Thickness Skin Using Extended Kalman Filteren_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s11269-012-0128-8en_US
dc.identifier.journalWATER RESOURCES MANAGEMENTen_US
dc.citation.volume26en_US
dc.citation.issue14en_US
dc.citation.spage4039en_US
dc.citation.epage4057en_US
dc.contributor.department環境工程研究所zh_TW
dc.contributor.department應用化學系zh_TW
dc.contributor.departmentInstitute of Environmental Engineeringen_US
dc.contributor.departmentDepartment of Applied Chemistryen_US
dc.identifier.wosnumberWOS:000309862700005-
dc.citation.woscount0-
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