期刊論文
| 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 | en |
| ISSN | 0022-1694 |
| 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 | 是 |
| 國別 | NLD |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100121 ) |