Evaluation of driftwood generation in the Northern Kyushu heavy rain in 2017 by logistic regression

Takahiro Shogaki, Akiyoshi Tsusue, Shinichiro Yano, Kiyonobu Kasama

研究成果: Contribution to conferencePaper査読

抄録

We tried to develop a model to calculate the amount of driftwood generation from a given watershed area in a specific heavy rain event. In this research, slope failure dataset in the Northern Kyushu Heavy Rain in 2017 was used for the logistic regression model to estimate the possibility of slope failure generation. In this model, C-X band radar precipitation, geographical data, geological data, and land use data were adapted. As a result of the present research, it is found that the best model can express the slope failure in the heavy rain with very high accuracy. In addition, the model can estimate the driftwood generation from 10 rivers with 20% of accuracy the model.

本文言語英語
出版ステータス出版済み - 2020
イベント22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020 - Sapporo, Virtual, 日本
継続期間: 9 14 20209 17 2020

会議

会議22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020
国/地域日本
CitySapporo, Virtual
Period9/14/209/17/20

All Science Journal Classification (ASJC) codes

  • 生態学
  • 環境工学

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