教師資料查詢 | 類別: 期刊論文 | 教師: 張麗秋 LI-CHIU CHANG (瀏覽個人網頁)

標題:Regional flood inundation nowcast using hybrid SOM and dynamic neural networks
學年103
學期1
出版(發表)日期2014/11/27
作品名稱Regional flood inundation nowcast using hybrid SOM and dynamic neural networks
作品名稱(其他語言)
著者Chang, Li-Chiu; Sheng, Hung-Yu; Chang, Fi-John
單位淡江大學水資源及環境工程學系
出版者Netherlands: Elsevier BV
著錄名稱、卷期、頁數Journal of Hydrology 519(pt.A), pp.476-489
摘要This study proposes a hybrid SOM–R-NARX methodology for nowcasting multi-step-ahead regional flood inundation maps during typhoon events. The core idea is to form a meaningful topology of inundation maps and then real-time update the selected inundation map according to a forecasted total inundated volume. The methodology includes three major schemes: (1) configuring the self-organizing map (SOM) to categorize a large number of regional inundation maps into a meaningful topology; (2) building a recurrent configuration of nonlinear autoregressive with exogenous inputs (R-NARX) to forecast the total inundated volume; and (3) adjusting the weights of the selected neuron in the constructed SOM based on the forecasted total inundated volume to obtain a real-time adapted regional inundation map. The proposed models are trained and tested based on a large number of inundation data sets collected in an inundation-prone region (270 km2) in the Yilan County, Taiwan. The results show that (1) the SOM–R-NARX model can suitably forecast multi-step-ahead regional inundation maps; and (2) the SOM–R-NARX model consistently outperforms the comparative model in providing regional inundation maps with smaller forecast errors and higher correlation (RMSE < 0.1 m and R2 > 0.9 in most cases). The proposed modelling approach offers an insightful and promising methodology for real-time forecasting 2-dimensional visible inundation maps during storm events.
關鍵字Artificial neural network (ANN);Self-organizing map (SOM);Recurrent configuration of nonlinear autoregressive with exogenous inputs (R-NARX);Flood inundation map;Regional flood forecasting model
語言英文
ISSN0022-1694
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者Chang, Li-Chiu; Chang, Fi-John
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
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