Real-Time Reservoir Operation for Flood Control Using Artificial Intelligent Techniques
學年 99
學期 2
出版（發表）日期 2011-05-01
作品名稱 Real-Time Reservoir Operation for Flood Control Using Artificial Intelligent Techniques
作品名稱（其他語言）
著者 Chang, Li-Chiu; Chang, Fi-John; Hsu, Hung-Cheng
單位 淡江大學水資源及環境工程學系
出版者 Berlin: Walter de Gruyter GmbH & Co. KG
著錄名稱、卷期、頁數 International Journal of Nonlinear Sciences and Numerical Simulation 11(11), pp.887-902
摘要 Real-time reservoir operation for flood control is a continuous and instant decision-making process based on relevant operating rules, in addition to the immediate rainfall and hydrological information. To reduce downstream flood peak stage and store floodwaters for future use, reservoir operational for flood control plays a critical role. The aim of this study is to establish a real-time reservoir operational model, the intelligent fuzzy flood control model (IFFCM), for flood control to ensure reservoir safety and store floodwaters for future use. The model includes two major artificial intelligent processes: knowledge acquirement and implementation, and fuzzy inference system. The IFFCM is first built by extracting the knowledge from the optimal operating hydrographs of typhoon events obtained by genetic algorithm (GA) and is then inferred reservoir release by the adaptive network-based fuzzy inference system (ANFIS). The Shihmen Reservoir in northern Taiwan is used as a case study with particular attention to the operations of 26 flood events by the proposed method. The results demonstrate that the proposed model can perform much better than historical reservoir operations and effectively reduce downstream peak flood stage and store floodwaters for future use.
關鍵字 Reservoir flood control;Adaptive network-based fuzzy inference system;ANFIS;Genetic 
 algorithm;GA;Real-time decision-making process
語言 en
ISSN 1565-1339; 2191-0294
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Chang, Fi-John
審稿制度
國別 DEU
公開徵稿
出版型式 紙本
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