TY  - JOUR
A1  - Usman, Muhammad
A1  - Reimann, Thomas
A1  - Liedl, Rudolf
A1  - Abbas, Azhar
A1  - Conrad, Christopher
A1  - Saleem, Shoaib
T1  - Inverse parametrization of a regional groundwater flow model with the aid of modelling and GIS: test and application of different approaches
T2  - ISPRS International Journal of Geo-Information
N2  - 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 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.
KW  - pilot-point-approach
KW  - inverse parameterization
KW  - groundwater
KW  - sensitivity analysis
KW  - tikhonov regularization
KW  - PEST
Y1  - 2018
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/17572
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-175721
VL  - 7
IS  - 1
ER  -