20.500.12556/RUL-116916
Efficient calibration of a conceptual hydrological model based on the enhanced Gauss–Levenberg–Marquardt procedure
Various models were developed in the past to simulate different hydrological processes. However, discrepancies between simulated and observed values are still significant and pose a challenge to many researchers. Models contain many parameters that cannot be directly measured. The values of most of these parameters are determined in the calibration process conditioning the efficiency of such models. This paper introduces the use of the enhanced Gauss–Levenberg–Marquardt (GLM) procedure in combination with the singular value decomposition (SVD) and Tikhonov regularization to improve the process of hydrological model calibration. The procedure is tested on a freely available hydrological model using a synthetic dataset. Based on several efficiency measures, the GLM procedure, in combination with SVD and Tikhonov regularization, was found to provide efficient model history matching and almost perfect parameter calibration. Moreover, by comparing the results of the proposed procedure with the results of global evolutionary calibration procedures, it was found that the only calibration using the combined GLM procedure gave a perfect fit in low flows. Last but not least, the noise in the calculation results with the combined GLM method was practically the same in either the calibration or validation procedure, suggesting that only computational noise remained in the results.
calibration model efficiency
Parameter Estimation Tool (PEST)
HBV-light
Gauss–Levenberg–Marquardt procedure
SVD
Tikhonov regularization
parallel computing
učinkovitost kalibracijskega modela
PEST
HBV-light
Gauss-Levenberg-Marquardt postopek
SVD
Tikhonova regularizacija
paralelno računanje
hidrologija
true
false
true
Angleški jezik
Slovenski jezik
Članek v reviji
2020-06-16 11:14:56
2020-06-16 11:15:00
2022-08-29 03:39:55
0000-00-00 00:00:00
2020
0
0
20 str.
iss. 11, art. 3841
Vol. 10
2020
0000-00-00
Zaloznikova
Objavljeno
apc
0000-00-00
0000-00-00
0000-00-00
556:004
2076-3417
10.3390/app10113841
18190595
RAZ_Vidmar_Andrej_2020.pdf
RAZ_Vidmar_Andrej_2020.pdf
1
C2AB6EEA19396B7078B26CE9E0B2DE82
430807445e854ac9050ef32a3d648523f70ff20e8b91d1573a55d415a2171a7b
6b01fad9-5819-11ec-abdb-00155dcfd717
https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151937
https://www.mdpi.com/2076-3417/10/11/3841
1
https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=130628
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