Author(s): Hayata Iimura; Hitoshi Miyamoto

Linked Author(s): Hitoshi MIYAMOTO

Keywords: No Keywords

Abstract: In this paper, a logistic regression model was developed for predicting grass recruitment into sand bars and gravel beds of river channels. The river channels analyzed were located in Kinugawa River with different river segment characteristics. The logistic regression model dealt with data obtained from field observations in 2015 and 2016using a UAV measurement. The results of the logistic regression showed a strong influence of the past history of vegetation existence for predicting grass recruitment into the river beds of the alluvial fan and valley plain in Kinugawa River. In all the channels examined, the influences of the dimensionless tractive force and the height from the normal water level were detected to be stronger than the influence of the shortest horizontal distance from river streams. The results strongly supported that the logistic regression model had good ability for grass recruitment prediction in all the river channels, in particular, those of the valley plain.

DOI:

Year: 2018