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Titolo:
Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
Autore:
Boyle, DP; Gupta, HV; Sorooshian, S;
Indirizzi:
Univ Arizona, Dept Hydrol & Water Resources, Tucson, AZ 85721 USA Univ Arizona Tucson AZ USA 85721 & Water Resources, Tucson, AZ 85721 USA
Titolo Testata:
WATER RESOURCES RESEARCH
fascicolo: 12, volume: 36, anno: 2000,
pagine: 3663 - 3674
SICI:
0043-1397(200012)36:12<3663:TICOHM>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
RAINFALL-RUNOFF MODELS; IMPROVED PARAMETER INFERENCE; SHUFFLED COMPLEX EVOLUTION; GLOBAL OPTIMIZATION; CATCHMENT MODELS; UNCERTAINTY; ALGORITHMS; SCHEME;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Engineering, Computing & Technology
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Boyle, DP Univ Arizona, Dept Hydrol & Water Resources, POB 210011, Tucson,AZ 85721 USA Univ Arizona POB 210011 Tucson AZ USA 85721 Tucson, AZ 85721 USA
Citazione:
D.P. Boyle et al., "Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods", WATER RES R, 36(12), 2000, pp. 3663-3674

Abstract

Automatic methods for model calibration seek to take advantage of the speed and power of digital computers, while being objective and relatively easyto implement. However, they do not provide parameter estimates and hydrograph simulations that are considered acceptable by the hydrologists responsible for operational forecasting and have therefore not entered into widespread use. In contrast, the manual approach which has been developed and refined over the years to result in excellent model calibrations is complicatedand highly labor-intensive, and the expertise acquired by one individual with a specific model is not easily transferred to another person (or model). In this paper, we propose a hybrid approach that combines the strengths of each. A multicriteria formulation is used to "model" the evaluation techniques and strategies used in manual calibration, and the resulting optimization problem is solved by means of a computerized algorithm. The new approach provides a stronger test of model performance than methods that use a single overall statistic to aggregate model errors over a large range of hydrologic behaviors. The power of the new approach is illustrated by means of a case study using the Sacramento Soil Moisture Accounting model.

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Documento generato il 29/11/20 alle ore 23:57:29