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Inverse parametrization of a regional groundwater flow model with the aid of modelling and GIS: test and application of different approaches

Please always quote using this URN: urn:nbn:de:bvb:20-opus-175721
  • The use of inverse methods allow efficient model calibration. This study employs PEST to calibrate a large catchment scale transient flow model. Results are demonstrated by comparing manually calibrated approaches with the automated approach. An advanced Tikhonov regularization algorithm was employed for carrying out the automated pilot point (PP) method. The results indicate that automated PP is more flexible and robust as compared to other approaches. Different statistical indicators show that this method yields reliable calibration as valuesThe use of inverse methods allow efficient model calibration. This study employs PEST to calibrate a large catchment scale transient flow model. Results are demonstrated by comparing manually calibrated approaches with the automated approach. An advanced Tikhonov regularization algorithm was employed for carrying out the automated pilot point (PP) method. The results indicate that automated PP is more flexible and robust as compared to other approaches. Different statistical indicators show that this method yields reliable calibration as values of coefficient of determination (R-2) range from 0.98 to 0.99, Nash Sutcliffe efficiency (ME) range from 0.964 to 0.976, and root mean square errors (RMSE) range from 1.68 m to 1.23 m, for manual and automated approaches, respectively. Validation results of automated PP show ME as 0.969 and RMSE as 1.31 m. The results of output sensitivity suggest that hydraulic conductivity is a more influential parameter. Considering the limitations of the current study, it is recommended to perform global sensitivity and linear uncertainty analysis for the better estimation of the modelling results.show moreshow less

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Metadaten
Author: Muhammad UsmanORCiD, Thomas Reimann, Rudolf Liedl, Azhar Abbas, Christopher ConradORCiD, Shoaib Saleem
URN:urn:nbn:de:bvb:20-opus-175721
Document Type:Journal article
Faculties:Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) / Institut für Geographie und Geologie
Language:English
Parent Title (English):ISPRS International Journal of Geo-Information
Year of Completion:2018
Volume:7
Issue:1
Pagenumber:22
Source:ISPRS International Journal of Geo-Information 2018, 7(1), 22. DOI: 10.3390/ijgi7010022
DOI:https://doi.org/10.3390/ijgi7010022
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Tag:PEST; groundwater; inverse parameterization; pilot-point-approach; sensitivity analysis; tikhonov regularization
Release Date:2019/02/11
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International