Session6: Water-related Disaster Risk Reduction
Title: EVALUATION OF DRIFTWOOD GENERATION IN THE NORTHERN KYUSHU HEAVY RAIN IN 2017 BY LOGISTIC REGRESSION
Takahiro Shogaki, Akiyoshi Tsusue, Shinichiro Yano, Kiyonobu Kasama
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.