Operating System of Retarding Basin Sluice Ways Using Real-time Stage Prediction
Takuma Takasao, Michiharu Shiiba, Yasuto Tachikawa, Kentaro Morita
Abstract
Open-access reader
Takuma Takasao, Michiharu Shiiba, Yasuto Tachikawa, Kentaro Morita
Abstract
Open-access reader
A system for operating many sluice ways located along retarding basins using a real-time runoff prediction scheme is developed. In the Ueno Retarding Basins (area: 250ha, pondage: 9.0 million m3) in Japan, there are thirty-six sluice ways andduring a flood at least seventy-two operators must stand by to operate the sluice ways. But it has been very difficult to arrange such many people. In this system, to operate many sluice ways one after another with as few people as possible, the stage of the river at each sluice way is predicted on a real-time basis and the time when the stage rises up to the operation stage at each sluice way is given. For the flood data from September 19 to 20 in 1990, this system was simulated and the time when the stage of the river rised up to the operation stage ofeach sluice ways was predicted and compared to the actual operation time.
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A system for operating many sluice ways located along retarding basins using a real-time runoff prediction scheme is developed. In the Ueno Retarding Basins (area: 250ha, pondage: 9.0 million m3) in Japan, there are thirty-six sluice ways andduring a flood at least seventy-two operators must stand by to operate the sluice ways. But it has been very difficult to arrange such many people. In this system, to operate many sluice ways one after another with as few people as possible, the stage of the river at each sluice way is predicted on a real-time basis and the time when the stage rises up to the operation stage at each sluice way is given. For the flood data from September 19 to 20 in 1990, this system was simulated and the time when the stage of the river rised up to the operation stage ofeach sluice ways was predicted and compared to the actual operation time.
Key concepts: Sluice, Stage (stratigraphy), Structural basin, Flood myth, Hydrology (agriculture), Marine engineering, Environmental science, Geology