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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/24116

Title: Deterministic insight into ANN model performance for storm runoff simulation
Authors: Kwan Tun Lee;Wei-Chiao Hung;Chung-Chieh Meng
Contributors: NTOU:Department of Harbor and River Engineering
Keywords: ANN model;deterministic insight;training data set;rainfall–runoff simulation
Date: 2008-01-01
Issue Date: 2011-10-20T08:10:23Z
Publisher: Water Resources Management
Abstract: Abstract:The artificial neural network (ANN) theory has been widely applied to practical applications in hydrology. Since watershed rainfall–runoff processes are nonlinear and exhibit spatial and temporal variability, the ANN model, which considers watershed nonlinear characteristics, can usually but not always obtain satisfactory simulation results. The training of an ANN network is based completely on the reliability of the available hydrologic records. The objective of this study was to provide deterministic insight into the limitations of storm runoff simulation when using ANN. Hydrologic records of 42 storm events from two watersheds in Taiwan were adopted for analysis. A deterministic runoff model was used to classify the hydrologic records into “usual” and “unusual” storm events. The analytical results show that the ANN model could provide good simulation results for “usual” storm events; however, its performance was poor when it was applied to “unusual” storm events because no consistent hydrologic characteristics could be extracted from the storm event records using ANN. The success of the ANN model in usual storm discharge simulations may be mainly due to the input vectors including the previous observed discharge. Moreover, the number of past periods of rainfall that were set as the input vectors of the ANN model was found to be highly correlated with the watershed time of concentration. It can be used to efficiently determine the ANN network structure instead of using iterative network training.
Relation: 22(1), pp.67-82
URI: http://ntour.ntou.edu.tw/handle/987654321/24116
Appears in Collections:[河海工程學系] 期刊論文

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