Bulletin of Glaciological Research
Online ISSN : 1884-8044
Print ISSN : 1345-3807
ISSN-L : 1345-3807
Study on advanced snow information and its application to disaster mitigation: An overview(高度降積雪情報に基づく雪氷災害軽減研究 – 概要)
Sento NAKAI(中井専人)Kenji KOSUGI(小杉健二)Satoru YAMAGUCHI(山口悟)Katsuya YAMASHITA(山下克也)Kengo SATO(佐藤研吾)Satoru ADACHI(安達聖)Yoichi ITO(伊藤陽一)Masaki NEMOTO(根本征樹)Kazuki NAKAMURA(中村一樹)Hiroki MOTOYOSHI(本吉弘岐)Hiroyuki HIRASHIMA(平島寛行)Isao KAMIISHI(上石勲)Kenichi ODA(小田憲一)Masaaki ISHIZAKA(石坂雅昭)Osamu ABE(阿部修)Takeshi SATO(佐藤威)
ジャーナル フリー

2019 年 37S 巻 p. 3-19


An overview of the National Research Institute for Earth Science and Disaster Resilience (NIED) project “Study on Advanced Snow Information and its Application to Disaster Mitigation (ASDIM)” is described here. The Concentrated Snowfall Monitoring System (CSMS) was constructed, and observations of falling snow particles at remote sites of the CSMS were started within the observation range of an X-band multi-parameter radar at the Snow and Ice Research Center (SIRC) in Nagaoka. A parameter for the quantitative description of falling snow particles was derived. Preferential flow within the snowpack was reproduced numerically. State-of-the-art microphysical technologies, such as nuclear magnetic resonance imaging and X-ray computerized tomography, were employed. Advanced snow information, such as center of mass flux distribution, liquid water fraction, specific surface area, and microstructure of the snowpack, were collected for falling and ground snow analyses. A regularly updated Real-time Hazard Map (RHM) displaying the areas affected by various snow and ice-related hazards was developed. The RHM serves as a platform for application of the Snow Disaster Forecasting System to hazards such as avalanches, snow accretion, and blowing snow. The utility of the RHMs was examined through experiments conducted in association with local governments and transport administrators.

© 2019 公益社団法人 日本雪氷学会
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