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Titolo:
A framework for development and application of hydrological models
Autore:
Wagener, T; Boyle, DP; Lees, MJ; Wheater, HS; Gupta, HV; Sorooshian, S;
Indirizzi:
Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, London SW7 2BU, England Univ London Imperial Coll Sci Technol & Med LondonEngland SW7 2BU gland Univ Arizona, Dept Hydrol & Water Resources, Tucson, AZ 85721 USA Univ Arizona Tucson AZ USA 85721 & Water Resources, Tucson, AZ 85721 USA
Titolo Testata:
HYDROLOGY AND EARTH SYSTEM SCIENCES
fascicolo: 1, volume: 5, anno: 2001,
pagine: 13 - 26
SICI:
1027-5606(200103)5:1<13:AFFDAA>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
RAINFALL-RUNOFF MODELS; GLOBAL OPTIMIZATION; IMPROVED CALIBRATION; UNCERTAINTY; IDENTIFICATION; PREDICTION; COMPLEXITY;
Keywords:
hydrological modelling; multi-objective calibration; model complexity; parameter identifiability;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
44
Recensione:
Indirizzi per estratti:
Indirizzo: Wagener, T Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, London SW7 2BU, England Univ London Imperial Coll Sci Technol & Med London England SW7 2BU
Citazione:
T. Wagener et al., "A framework for development and application of hydrological models", HYDROL E S, 5(1), 2001, pp. 13-26

Abstract

Many existing hydrological modelling procedures do not make best use of available information, resulting in non-minimal uncertainties in model structure and parameters, and a lack of detailed information regarding model behaviour. A framework is required that balances the level of model complexity supported by the available data with the level of performance suitable for the desired application. Tools are needed that make optimal use of the information available in the data to identify model structure and parameters, and that allow a detailed analysis of model behaviour. This should result inappropriate levels of model complexity as a function of available data, hydrological system characteristics and modelling purpose. This paper introduces an analytical framework to achieve this, and tools to use within it, based on a multi-objective approach to model calibration and analysis. The utility of the framework is demonstrated with an example from the field of rainfall-runoff modelling.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/11/20 alle ore 00:39:50