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Optimization of the Multi-Start Strategy of a Direct-Search Algorithm for the Calibration of Rainfall-Runoff Models for Water-Resource Assessment

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Optimization of the Multi-Start Strategy of a Direct-Search Algorithm for the Calibration of Rainfall-Runoff Models for Water-Resource Assessment

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Garcia-Romero, L.; Paredes Arquiola, J.; Solera Solera, A.; Belda-Ibañez, E.; Andreu Álvarez, J.; Sanchez-Quispe, ST. (2019). Optimization of the Multi-Start Strategy of a Direct-Search Algorithm for the Calibration of Rainfall-Runoff Models for Water-Resource Assessment. Water. 11(9):1-26. https://doi.org/10.3390/w11091876

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/133001

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Title: Optimization of the Multi-Start Strategy of a Direct-Search Algorithm for the Calibration of Rainfall-Runoff Models for Water-Resource Assessment
Author: Garcia-Romero, Liliana Paredes Arquiola, Javier Solera Solera, Abel Belda-Ibañez, Edgar Andreu Álvarez, Joaquín Sanchez-Quispe, Sonia T.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
Issued date:
Abstract:
[EN] Calibration of conceptual rainfall-runoff models (CRRM) for water-resource assessment (WRA) is a complicated task that contributes to the reliability of results obtained from catchments. In recent decades, the application ...[+]
Subjects: Calibration , Rainfall-runoff models , Multi-start , Latin hypercube , Rosenbrock , Water-resource assessment
Copyrigths: Reconocimiento (by)
Source:
Water. (issn: 2073-4441 )
DOI: 10.3390/w11091876
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/w11091876
Project ID:
info:eu-repo/grantAgreement/EC/H2020/641811/EU/IMproving PRedictions and management of hydrological EXtremes/
AEI/CTM2016-77804-P
CEE/641811
Thanks:
The authors wish to thank the Spanish Research Agency (MINECO) for the financial support to ERAS project (CTM2016-77804-P, including EU-FEDER funds). Additionally, we also value the support provided by the European Community ...[+]
Type: Artículo

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