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 (20):
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
田内 裕人, 後 誠介, 江種 伸之. ワダイの防災ジオツアーの展開-A Development on Geo-Tour for Disaster Prevention. 和歌山大学災害科学・レジリエンス共創センター年報. 2021. 1. 32-35
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, 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