Andrej Vidmar (Avtor), Mitja Brilly (Avtor), Klaudija Sapač (Avtor), Andrej Kryžanowski (Avtor)

Povzetek

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.

Ključne besede

učinkovitost kalibracijskega modela;PEST;HBV-light;Gauss-Levenberg-Marquardt postopek;SVD;Tikhonova regularizacija;paralelno računanje;hidrologija;calibration model efficiency;PEST - parameter estimation tool;Gauss - Levenberg - Marquardt procedure;Tikhonov regularization;parallel computing;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
UDK: 556:004
COBISS: 18190595 Povezava se bo odprla v novem oknu
ISSN: 2076-3417
Matična publikacija: Applied sciences
Št. ogledov: 564
Št. prenosov: 350
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: učinkovitost kalibracijskega modela;PEST;HBV-light;Gauss-Levenberg-Marquardt postopek;SVD;Tikhonova regularizacija;paralelno računanje;hidrologija;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 1-20
Letnik: ǂLetn. ǂ10
Zvezek: ǂšt. ǂ11
Čas izdaje: 2020
DOI: 10.3390/app10113841
ID: 11841670
Priporočena dela:
, written report
, diplomsko delo univerzitetnega študijskega programa