Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43082
標題: Application of parameter optimization method for calibrating tank model
作者: Chen, R.S.
陳榮松
Pi, L.C.
Hsieh, C.C.
關鍵字: surface water hydrology;rainfall/runoff modeling;tank model;parameter;estimation;Multistart Powell method;SCE method;rainfall-runoff models;global optimization;watershed models;algorithms
Project: Journal of the American Water Resources Association
期刊/報告no:: Journal of the American Water Resources Association, Volume 41, Issue 2, Page(s) 389-402.
摘要: 
Many automatic calibration processes have been proposed to efficiently calibrate the 16 parameters involved in the fourlayered tank model. The Multistart Powell and Stuffed Complex Evolution (SCE) methods are considered the best two procedures. Two rainfall events were designed to compare the performance and efficiency of these two methods. The first rainfall event is short term and the second designed for long term rainfall data collection. Both rainfall events include a lengthy no-rainfall period. Two sets of upper and lower values for the search range were selected for the numerical tests. The results show that the Multistart Powell and SCE methods are able to obtain the true values for the 16 parameters with a sufficiently long no-rainfall period after a rainfall event. In addition, by using two selected objective functions, one based on root mean square error and one based on root mean square relative error criteria, it is found that the no-rainfall period lengths necessary to obtain the converged true values for the 16 parameters are roughly the same. The SCE method provides a more efficient search based on an appropriate preliminary search range. The Multistart Powell method, on the other hand, leads to more accurate search results when there is no suitable search range selected based on the parameter calibration experience.
URI: http://hdl.handle.net/11455/43082
ISSN: 1093-474X
DOI: 10.1111/j.1752-1688.2005.tb03743.x
Appears in Collections:土木工程學系所

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