關鍵字查詢 | 類別:會議論文 | | 關鍵字:Regional early flood warning system

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序號 學年期 教師動態
1 106/1 水環系 張麗秋 教授 會議論文 發佈 Building regional early flood warning systems by AI techniques , [106-1] :Building regional early flood warning systems by AI techniques會議論文Building regional early flood warning systems by AI techniquesFi-John Chang; LC Chang; MZBM AminAGUen_US國際無20171211~20171215是USA2017 AGU Fall MeetingNew Orleans, USA
2 106/1 水環系 張麗秋 教授 會議論文 發佈 Regional early flood warning system: design and implementation , [106-1] :Regional early flood warning system: design and implementation會議論文Regional early flood warning system: design and implementationLi-Chiu Chang, Shun-Nien Yang, Chun-Ling Kuo and Yi-Fung WangAGUen_US國際無20171211~20171215是USA2017 AGU Fall MeetingNew Orleans, USA
3 106/1 水環系 張麗秋 教授 會議論文 發佈 Regional early flood warning system: design and implementation , [106-1] :Regional early flood warning system: design and implementation會議論文Regional early flood warning system: design and implementationLi-Chiu Chang; Shun-Nien Yang; Chun-Ling Kuo; Yi-Fung WangAGU Fall MeetingThis study proposes a prototype of the regional early flood inundation warning system in Tainan City, Taiwan. The AI technology is used to forecast multi-step-ahead regional flood inundation maps during storm events. The computing time is only few seconds that leads to real-time regional flood inundation forecasting. A database is built to organize data and information for building real-time forecasting models, maintaining the relations of forecasted points, and displaying forecasted results, while real-time data acquisition is another key task where the model requires immediately accessing rain gauge information to provide forecast services. All programs related database are constructed in Microsoft SQL Server by using Visual C# to extracting real-time hydrological data, managing data
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