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:Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance
學年108
學期2
出版(發表)日期2020/04/24
作品名稱Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance
作品名稱(其他語言)
著者Li-Chiu Chang; Fi-John Chang; Shun-Nien Yang; Fong-He Tsai; Ting-Hua Chang; Edwin E. Herricks
單位
出版者
著錄名稱、卷期、頁數Nature Communications 11, 1983
摘要Typhoons are among the greatest natural hazards along East Asian coasts. Typhoon-related precipitation can produce flooding that is often only predictable a few hours in advance. Here, we present a machine-learning method comparing projected typhoon tracks with past trajectories, then using the information to predict flood hydrographs for a watershed on Taiwan. The hydrographs provide early warning of possible flooding prior to typhoon landfall, and then real-time updates of expected flooding along the typhoon’s path. The method associates different types of typhoon tracks with landscape topography and runoff data to estimate the water inflow into a reservoir, allowing prediction of flood hydrographs up to two days in advance with continual updates. Modelling involves identifying typhoon track vectors, clustering vectors using a self-organizing map, extracting flow characteristic curves, and predicting flood hydrographs. This machine learning approach can significantly improve existing flood warning systems and provide early warnings to reservoir management.
關鍵字Self-organizing maps;typhoon tracks;flood forecasts
語言英文
ISSN2041-1723
期刊性質國外
收錄於SCI;
產學合作國內;
通訊作者
審稿制度
國別英國
公開徵稿
出版型式,電子版
相關連結
SDGs
Google+ 推薦功能,讓全世界都能看到您的推薦!