Open Access
E3S Web Conf.
Volume 346, 2022
Article Number 03026
Number of page(s) 13
Section Thème 3. Solutions innovantes dans l'usage des réservoirs / Theme 3. Innovative Solutions in Reservoir Uses
Published online 23 May 2022
  1. T. Nishihara, M. Kazumata, A Method to Forecast Dam Inflow in Snowmelt Season Using Meteorological and Hydrological Observation Data, Civil Engineering Research Institute for Cold Region Monthly Report No.733 June 2014 (in Japanese) (2014) [Google Scholar]
  2. J. Kondo, T. Yamazaki, A prediction model for snow-melt, snow surface temperature and freezing depth using a heat balance method. J. Appl. Meteor., 29(5), 375–384 (in Japanese) (1990) [CrossRef] [Google Scholar]
  3. M. Nakatsugawa, K. Kudo, K. Hoshi, Generalized Analysis of Runoff Due to Snowmelt Considering Storage of Accumulated Snow, PROCEEDINGS OF HYDRAULIC ENGINEERING, 48 Pages 37–42 (in Japanese) (2004) [CrossRef] [Google Scholar]
  4. H. Baba, K. Hoshi, M. Fujita, Development of Two-step Storage Routing Runoff Model Coupled with Evapotranspiration and Infiltration Model, J. Japan Soc. Hydrol. & Water Resour. 14(5), (in Japanese) (2001) [Google Scholar]
  5. S. Hochreiter, J. Schmidhuber, Long Short-Term memory, Neural computation, 9(8), 1735–1780 (1997) [CrossRef] [Google Scholar]

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