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  1. 防災科研関係論文

Development of a Snow Load Alert System, "YukioroSignal" for Aiding Roof Snow Removal Decisions in Snowy Areas in Japan

https://nied-repo.bosai.go.jp/records/5486
https://nied-repo.bosai.go.jp/records/5486
9a2d62d3-dce4-4343-ae2e-bf0648c858cc
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル Development of a Snow Load Alert System, "YukioroSignal" for Aiding Roof Snow Removal Decisions in Snowy Areas in Japan
言語
言語 eng
著者 Hiroyuki Hirashima

× Hiroyuki Hirashima

en Hiroyuki Hirashima

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Tsutomu Iyobe

× Tsutomu Iyobe

en Tsutomu Iyobe

Search repository
Katsuhisa Kawashima

× Katsuhisa Kawashima

en Katsuhisa Kawashima

Search repository
Hiroaki Sano

× Hiroaki Sano

en Hiroaki Sano

Search repository
抄録
内容記述タイプ Other
内容記述 This study developed a snow load alert system, known as the "YukioroSignal"; this system aims to provide a widespread area for assessing snow load distribution and the information necessary for aiding house roof snow removal decisions in snowy areas of Japan. The system was released in January 2018 in Niigata Prefecture, Japan, and later, it was expanded to Yamagata and Toyama prefectures in January 2019. The YukioroSignal contains two elements: the "Quasi-Real-Time Snow Depth Monitoring System," which collects snow depth data, and the numerical model known as SNOWPACK, which can calculate the snow water equivalent (SWE). The snow load per unit area is estimated to be equivalent to SWE. Based on the house damage risk level, snow load distribution was indicated by colors following the ISO 22324. The system can also calculate post-snow removal snow loads. The calculated snow load was validated by using the data collected through snow pillows. The simulated snow load had a root mean square error (RMSE) of 21.3%, which was relative to the observed snow load. With regard to residential areas during the snow accumulation period, the RMSE was 13.2%. YukioroSignal received more than 56,000 pageviews in the snowheavy 2018 period and 26,000 pageviews in the less snowheavy 2019 period.
言語 en
書誌情報 en : JOURNAL OF DISASTER RESEARCH

巻 15, 号 6, p. 688-697
出版者
言語 en
出版者 FUJI TECHNOLOGY PRESS LTD
ISSN
収録物識別子タイプ EISSN
収録物識別子 1883-8030
DOI
関連識別子 10.20965/jdr.2020.p0688
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