Decision Support System for Emergency Flood Gate Control and Operation Using Fuzzy Control (PAP014844)
Tarek Merabtene, Nobukazu Koreeda, Takanobu Nakashima
This study introduces the development of a fuzzy controller decision support system to sustain river authorities in flood control, flood prevention and flood risk mitigation. The most critical and common objective of flood control remains the operation of floodway gates to concurrently store the overflow during high flow periods and redirect the stored water to the river bed during low flow periods. Such operation heavily relies on the forecast accuracy of the rainfall, the real time prediction of river stream-flow, the forecast of the water levels in the protection structures (e.g., dam, or pound) and furthermore on the intuition of the experienced engineers at the local river office. The past flood records and practices demonstrated that engineers with different prior flood experience could be expected to behave differently during a flood event, inducing a high risk of conflicting consequences between river flooding and disastrous breaks of the pounds or dam structure. In order to overcome some of the existing complexity and uncertainties involved in the flood control and management, a fuzzy controller decision support system (FFC-DSS) was implemented. The present FFC-DSS includes five sub-systems modules for database management, rainfall forecast, prediction of river flow, water level forecast in the protection structures, and an expert system for automatic operation of the emergency floodway gates. The developed FFC-DSS is a user-friendly operating system enhanced by dynamic computer graphics presentations of the forecasted hydrologic parameters and consequent risk damages.