Japan Geoscience Union Meeting 2021

Presentation information

[J] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CC Cryospheric Sciences & Cold District Environment

[A-CC25] Glaciology in the new normal

Thu. Jun 3, 2021 10:45 AM - 12:15 PM Ch.13 (Zoom Room 13)

convener:Hiroto Nagai(Waseda Univ., School of Education), Kzutaka Tateyama(National University Corporation Kitami Institute of Technology), Ishikawa Mamoru(Hokkaido University), Keiko Konya(Japan Agency for Marine-Earth Science and Technology), Chairperson:Ishikawa Mamoru(Hokkaido University), Keiko Konya(Japan Agency for Marine-Earth Science and Technology)

11:00 AM - 11:15 AM

[ACC25-08] Collapse of snow patch in the Hakuba-Daisekkei, northern Japanese Alps

*Ryoji Yoshimura1, Chiyuki Narama1 (1.Niigata Univ.)

Keywords:Hakuba-Daisekkei, collapse of snow patch, GPR, UAV, stress analysis

In the Chubu Mountains, the winter season from autumn 2015 to spring 2016 and the spring from autumn 2019 to spring 2020 have been the years with little snowfall even in the past few decades. As a result, in Hakuba-Daisekkei, which is located in Hakuba-mura, Kitaazumi-gun, Nagano Prefecture, the snow patch rapidly became unstable and collapsed.The trail was closed despite the climbing season due to the increased risk of the snow patch collapse.
Snow patch collapse is a phenomenon in which a cavity such as an ice tunnel is formed at the snow bottom and the upper part collapses. Climbers should avoid unstable areas to prevent accidents due to the collapse of snow patches. However, the underground topography of the bottom of the snow patch has not been elucidated, and the location of the ice tunnel that causes the snow patch to collapse and the unstable location where the snow patch is likely to collapse are unknown.
Therefore, in this study, we carried out ground penetrating radar exploration in HakubaーDaisekkei and estimated the location of the ice tunnel formed in the main stream by restoring the underground of the snow patch. In addition, by creating ortho-images and DSM from aerial images taken multiple times using SfM-MVS technology, we considered the topographical features of the points where ice tunnels are formed.