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Titolo:
MULTIOBJECTIVE GLOBAL OPTIMIZATION FOR HYDROLOGIC-MODELS
Autore:
YAPO PO; GUPTA HV; SOROOSHIAN S;
Indirizzi:
UNIV ARIZONA,DEPT SYST & IND ENGN TUCSON AZ 85721 UNIV ARIZONA,DEPT HYDROL & WATER RESOURCES TUCSON AZ 85721
Titolo Testata:
Journal of hydrology
fascicolo: 1-4, volume: 204, anno: 1998,
pagine: 83 - 97
SICI:
0022-1694(1998)204:1-4<83:MGOFH>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
RAINFALL-RUNOFF MODELS; MULTIOBJECTIVE PARAMETER-ESTIMATION; AUTOMATIC CALIBRATION; SENSITIVITY; ALGORITHMS;
Keywords:
SURFACE WATER; WATERSHED MODELS; PARAMETER ESTIMATION; CALIBRATION; MULTIPLE OBJECTIVES; GLOBAL OPTIMIZATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
60
Recensione:
Indirizzi per estratti:
Citazione:
P.O. Yapo et al., "MULTIOBJECTIVE GLOBAL OPTIMIZATION FOR HYDROLOGIC-MODELS", Journal of hydrology, 204(1-4), 1998, pp. 83-97

Abstract

The development of automated (computer-based) calibration methods hasfocused mainly on the selection of a single-objective measure of the distance between the model-simulated output and the data and the selection of an automatic optimization algorithm to search for the parameter values which minimize that distance. However, practical experience with model calibration suggests that no single-objective function is adequate to measure the ways in which the model fails to match the important characteristics of the observed data. Given that some of the latest hydrologic models simulate several of the watershed output fluxes (e.g. water, energy, chemical constituents, etc.), there is a need for effective and efficient multiobjective calibration procedures capable of exploiting all of the useful information about the physical system contained in the measurement data time series. The MOCOM-UA algorithm,an effective and efficient methodology for solving the multiple-objective global optimization problem, is presented in this paper. The method is an extension of the successful SCE-UA single-objective global optimization algorithm. The features and capabilities of MOCOM-UA are illustrated by means of a simple hydrologic model calibration study. (C)1998 Elsevier Science B.V.

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Documento generato il 04/12/20 alle ore 00:35:22