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Title
Japanese:豪雪地帯に位置するダム対象とした融雪期の操作におけるAIダム操作モデルの応用可能性 
English: 
Author
Japanese: 赤塚 洋介, 瀬戸 里枝, 鼎 信次郎, 小槻 峻司, 渡辺 哲史.  
English: Yosuke Akatsuka, Rie Seto, Shinjiro Kanae, Shunji Kotsuki, Satoshi Watanabe.  
Language Japanese 
Journal/Book name
Japanese:土木学会論文集B1（水工学） 
English:Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 
Volume, Number, Page Volume 77    Issue 2    p. I109-I114
Published date Dec. 2021 
Publisher
Japanese:公益社団法人土木学会 
English:Japan Society of Civil Engineers 
Conference name
Japanese:第66回水工学講演会 
English:The 66th Conference on Hydraulic Engineering 
Conference site
Japanese:オンライン 
English:Online 
Official URL https://www.jstage.jst.go.jp/article/jscejhe/77/2/77_I_109/_article/-char/ja
 
DOI https://doi.org/10.2208/jscejhe.77.2_I_109
Abstract  Dams located in heavy snowfall regions are required to restore their water utilization capacity during snow melting period because the inflow volume into reservoir decreases during the snowfall period. In this study, a dam operation model using deep reinforcement learning was trained by inputting snowmelt and temperature data of the catchment area to achieve both control of snowmelt floods and operation to restore the water utilization capacity of dams in heavy snowfall areas. From the results, this model can be adopted to both flood control and restoreing water utilization capacity during snowmelt period. We also obtain the results that this model can control discharge rate according to mass of snowmelt or weather conditions.

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