Dynamic Thermomechanical Modeling of Rock-Ice Avalanches: Understanding Flow Transitions, Water Dynamics, and Uncertainties

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jessica Munch, Yu Zhuang, Rajesh Kumar Dash, Perry Bartelt
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Abstract

The rapid melting of glaciers and thawing of permafrost in mountainous regions have heightened the danger of rock-ice avalanches. These avalanches pose a severe threat due to their potential to transform into water-saturated debris flows. The catastrophic event in Chamoli, India, on 7 February 2021, illustrates the devastating consequences of such processes. Developing a model capable of predicting the dynamics and extent of these events is imperative for natural hazard science and disaster mitigation. In response, we propose a depth-averaged rock-ice avalanche model encompassing four distinct materials: rock, ice, snow, and water. The model integrates crucial physical processes, including frictional heating, phase changes, ground material entrainment, and air-blast hazards. Through a system of mass and momentum balance equations extended with grain flow and internal energy equations, the model captures heat exchanges and resulting phase changes as the fragmented material flows. Focusing on identifying the primary water source in the flow and testing the model on the 2021 Chamoli event, we quantify water's influence on flow dynamics and regime transitions. However, uncertainties persist in heat transfer physics and quantifying the hydro-meteorological state of the flow path. Our thermo-mechanical model enables the simulation of complex avalanches and identifies key flow transitions: powder cloud formation and potential debris flow transformation. The study underscores the pivotal role of water in avalanche dynamics and the challenge of accurately quantifying water content within the flow, necessitating comprehensive ground assessments for effective disaster management.

Abstract Image

岩冰崩塌的动态热力学建模:了解水流转换、水动力学和不确定性
冰川的迅速融化和山区永久冻土的解冻加剧了岩冰崩塌的危险。这些雪崩有可能转化为水饱和的泥石流,因而构成严重威胁。2021 年 2 月 7 日在印度查莫利发生的灾难性事件就说明了这种过程的破坏性后果。开发一个能够预测这些事件的动态和范围的模型,对于自然灾害科学和减灾来说势在必行。为此,我们提出了一个深度平均岩冰雪崩模型,包含四种不同的材料:岩石、冰、雪和水。该模型整合了关键的物理过程,包括摩擦加热、相变、地面材料夹带和气爆危害。该模型通过质量和动量平衡方程系统,并扩展了晶粒流动和内能方程,捕捉了碎裂材料流动时的热交换和由此产生的相变。我们重点确定了流动中的主要水源,并在 2021 年 Chamoli 事件中对模型进行了测试,从而量化了水对流动动力学和状态转换的影响。然而,热传导物理学和流道水文气象状态的量化仍存在不确定性。我们的热机械模型能够模拟复杂的雪崩,并确定关键的流动转换:粉末云的形成和潜在的碎屑流转换。这项研究强调了水在雪崩动力学中的关键作用,以及准确量化雪崩流中水含量所面临的挑战,因此有必要进行全面的地面评估,以便进行有效的灾害管理。
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来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
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