Estimation of Spatial Snowpack Properties in a Snow-Avalanche Release Area: An Extreme Case on Mt. Nodanishoji, Japan, in 2021

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Yuta Katsuyama, Takafumi Katsushima, Satoru Adachi, Yukari Takeuchi
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Abstract

An extreme dry-slab snow avalanche occurred on January 10, 2021, at Mt. Nodanishoji, Gifu, Japan, during a heavy snowfall. The avalanche ran down a horizontal distance of approximately 2,800 m and damaged trees and infrastructures. This was estimated to be the second largest recorded avalanche in Japan. However, physical snowpack properties and their vertical profiles and spatial distribution, which caused the avalanche, were not addressed in the release area immediately following the avalanche, mainly due to unsafe and lousy weather conditions. Based on a snow depth distribution observed by an unmanned aerial vehicle and a numerical snowpack simulation in the avalanche release area, the spatial distributions of the mechanical snowpack stability and slab mass and their temporal evolution were estimated in this study. The procedure was validated by comparing the calculation results with the observed snowpit and spatial snow depth data. The results indicated that two heavy snowfall events, approximately 3 and 10 days before the avalanche onset, generated two different weak layers made of precipitation particles and associated slabs above the weak layers. The older weak layer was only generated on the northward slope due to its low temperature, whereas the newer layer was predominant over the avalanche release area. The procedure employed in this study is expected to be applied to other avalanche cases in the future.
估算雪崩释放区的空间积雪特性:2021 年日本野田圣寺山的极端情况
2021年1月10日,在日本岐阜野丹寺山发生了极端干板雪雪崩。雪崩沿水平方向滑下约2800米,毁坏了树木和基础设施。据估计,这是日本有记录以来第二大雪崩。然而,导致雪崩的物理积雪特性及其垂直剖面和空间分布,并没有在雪崩发生后立即在释放区得到解决,主要是由于不安全和恶劣的天气条件。基于无人机观测的积雪深度分布和雪崩释放区积雪数值模拟,估算了雪崩释放区机械积雪稳定性和板质量的空间分布及其时间演化。将计算结果与实测雪坑和空间雪深数据进行对比,验证了该方法的有效性。结果表明,在雪崩发生前约3天和10天的两次强降雪事件,形成了两个不同的弱层,由降水颗粒和弱层上方的相关板组成。由于温度较低,较老的弱层仅在北坡上形成,而较新的弱层则主要分布在雪崩释放区。本研究中采用的程序有望在未来应用于其他雪崩病例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Disaster Research
Journal of Disaster Research GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
37.50%
发文量
113
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