[S25] Groundwater, Runoff and Flooding

1:15 PM - 1:30 PM JST(4:15 AM - 4:30 AM UTC)

[182] APPLICATION OF DEEP LEARNING TO DAM INFLOW FORECASTS WITH DIFFERENT CHARACTERISTICS IN THE CHUBU AREA AND THE EFFECT OF FORECAST ACCURACY CAUSED BY MIX OF INPUT RAINFALL TYPES

*Toshiaki KUREBAYASHI¹, Hiroki TSUJIKURA², Eisuke TAKEDA³, Morihito KANIE², Mitsuyuki MATSUBARA⁴, Nobuhisa FUNATO⁴, Kota IDE⁴, Masahiro ASANO⁴ (1. （株）建設技術研究所 中部支社 河川部、2. （株）建設技術研究所 中部支社 河川部、3. （株）建設技術研究所 中部支社 河川部、4. 国土交通省 中部地方整備局 河川部)

Keywords:

deep learning,discharge forecast,extreme events,input data selection,parameter setting

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