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

標題:Estimation of Flood Inundation Extent Using Hybrid Models
學年
學期
發表日期2009/12/14
作品名稱Estimation of Flood Inundation Extent Using Hybrid Models
作品名稱(其他語言)
著者張麗秋
作品所屬單位淡江大學水資源及環境工程學系
出版者AGU
會議名稱2009 AGU Fall Meeting
會議地點舊金山, 美國
摘要We present a two-stage procedure underlying CHIM (clustering-based hybrid inundation model), which is composed of the linear regression models and ANNs to build the regional flood inundation estimation model. The two-stage procedure includes data preprocessing and model building stages. In the data preprocessing stage, the K-means clustering is used to categorize the data points of the different flooding characteristics and to identify the control point(s) from individual flooding cluster(s). In the model building stage, three classes of flood depth estimation models are built in each cluster: the back-propagation neural network (BPNN) for each control point, the linear regression models for the grids those have highly linear correlation with the control point, and a multi-grid BPNN for the grids those do not exist highly linear correlation with the control point. The effectiveness of the proposed approach is tested in the Dacun township in Taiwan. The results show that the CHIM can continuously and adequately provide one-hour-ahead flood inundation maps and effectively reduce 99% CPU time.
關鍵字
語言英文
收錄於
會議性質
校內研討會地點
研討會時間20091214~20091218
通訊作者
國別美國
公開徵稿
出版型式紙本
出處2009 AGU Fall Meeting
相關連結
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