DocumentCode :
2547826
Title :
Integration of surrogate optimization and PCA for calibration of hydrologic models, A WATCLASS case study
Author :
Kamali, Mahtab ; Ponnambalam, K. ; Soulis, E.D.
Author_Institution :
Univ. of Waterloo, Waterloo
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
2733
Lastpage :
2737
Abstract :
In this approach, exploration of the cost function space was performed with an inexpensive surrogate function, not the expensive original function. To increase the efficiency of the process the surrogate model was combined with one of the dimensionality reduction techniques called Principle Component Analysis (PCA). The case study of this document was WATCLASS hydrologic model calibration on Smokey-River watershed.
Keywords :
geophysical signal processing; hydrological techniques; optimisation; principal component analysis; PCA; Smokey-River watershed calibration; cost function space; dimensionality reduction techniques; hydrologic models; principle component analysis; surrogate optimization integration; Atmospheric modeling; Calibration; Computational efficiency; Cost function; Design engineering; Genetic engineering; Optimization methods; Parameter estimation; Principal component analysis; Rivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4414073
Filename :
4414073
Link To Document :
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