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National Chung Hsing University Institutional Repository - NCHUIR > 工學院 > 土木工程學系所 > 依資料類型分類 > 期刊論文 >  Application of parameter optimization method for calibrating tank model

Please use this identifier to cite or link to this item: http://nchuir.lib.nchu.edu.tw/handle/309270000/128309

標題: Application of parameter optimization method for calibrating tank model
作者: Chen, R.S.;Pi, L.C.;Hsieh, C.C.
陳榮松
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
日期: 2005
Issue Date: 2012-12-07 14:40:30 (UTC+8)
關連: 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.
Relation: Journal of the American Water Resources Association
Appears in Collections:[依資料類型分類] 期刊論文
[依教師分類] 陳榮松
[依教師分類] 陳榮松

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