2018 - 2021 Analysis of endogenous and exogenous factors focusing on the reproducibility of sediment disasters based on the old and new historical disaster information
2017 - 2018 A development of Hydrological GIS model aiming at runoff analysis of flooding in large region
Papers (19):
Hiroto TANOUCHI, Takayuki SAKAI, Yoshikazu OTSUKA, Masaki NAKANO. AN IMMEDIATE PREDICTION SYSTEM OF DISASTER WASTE QUANTITY, QUANTITY AND SPATIAL DISTRIBUTION GENERATED BY INUNDATION. Japanese Journal of JSCE. 2024. 80. 22. 1-11
Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, Takuya Yoshihiro. A Transfer Learning Approach Based on Radar Rainfall for River Water-Level Prediction. Water. 2024. 16. 4. 607-607
Akira Kawamura, Hideo Amaguchi, Jonas Olsson, Hiroto Tanouchi. Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects. Water. 2023. 15. 15. 2733-2733
Soichiro ASAI, Tatsuya AKIYAMA, Hiroto TANOUCHI, Nobuyuki EGUSA. A NUMERICAL SIMULATION OF DISASTER WASTE DISPOSAL IN WAKAYAMA CITY BY USING DHT MODEL. International Journal of GEOMATE. 2021. 20. 80. 23-28
Hiroto Tanouchi, Akihisa Imoto, Kouichi Ishiura, Nobuyuki Egusa. QUANTITATIVE EVALUATION OF WATER POLLUTANT LOAD FROM KINOKAWA RIVER BASIN BY HIGH-FREQUENCY WATER QUALITY OBSERVATION. INTERNATIONAL JOURNAL OF GEOMATE. 2020. 18. 66. 105-110
Hiroto Tanouchi, Tomomi Nakano, Nobuyuki Egusa. A spontaneously disaster evacuation drill for Tsunami by imitating a game of tag. GEOMATE2023 Mie Fullpaper. 2023
Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, Takuya Yoshihiro. River Water Level Prediction Using Radar Rainfall with Deep Learning. 17th International Workshop on Informatics (IWIN 2023). 2023