NOWCAST AND FORECAST MODELING OF WATER-LEVEL PROFILES IN RIVERS BASED ON IMPROVED DIEX-FLOOD AND DEEP LEARNING

Author:

ITO Takehiko1,KASHIWADA Jin1,HARAYAMA Nodoka1,KANEKO Ryo2,KATAOKA Tomoya3,ONOMURA Shiho1,NAKAYOSHI Makoto1,NIHEI Yasuo1

Affiliation:

1. Dept. of Civil Eng., Tokyo University of Science

2. Institute of Industrial Science, The University of Tokyo

3. Dept. of Civil and Environmental Eng., Ehime University

Publisher

Japan Society of Civil Engineers

Subject

Civil and Structural Engineering,Environmental Engineering

Reference19 articles.

1. 1) Cabinet Office : About the damage situation due to the heavy rain in July 2018 (January 9, 2019 version), http://www.bousai.go.jp/updates/h30typhoon7/pdf/310109_1700_h30typhoon7_01.pdf, 2019 (in Japanese, viewed on January 27, 2022).

2. 2) July 2018 Heavy Rain Disaster Verification Committee of Okayama Prefecture : July 2018 Heavy Rain Disaster Verification Report, pp. 1-104, http://www.pref.okayama.jp/page/574750.html, 2019 (in Japanese, viewed on January 27, 2022).

3. 3) Embankment Investigation Committee of the Oda River in the Takahashi River Basin System : 2nd Committee Handouts, http://www.cgr.mlit.go.jp/emergency/odagawateibochosa.html, 2018 (in Japanese, viewed on January 27, 2022).

4. 4) Japan Meteorological Agency : About the characteristics and factors of “heavy rain in July 2018” and record high temperature after mid-July, 2018 (in Japanese, viewed on January 27, 2022).

5. 5) Social Infrastructure Development Council of Ministry of Land, Infrastructure, Transport and Tourism : Climate change adaptation measures in the field of water disasters ~To a society that shares disaster risk information and a sense of crisis and works on disaster mitigation~, http://www.mlit.go.jp/river/shinngikai_blog/shaseishin/kasenbunkakai/shouiinkai/kikouhendou/pdf/1508_02_toushinhonbun.pdf, 2015 (in Japanese, viewed on January 27, 2022).

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