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两个二维数值模型的比较,用于雪崩模拟
Marco Martini1, Tommaso Baggio1, Vincenzo D'Agostino1
1Department of Land, Environment, Agriculture and Forestry, University of Padova, via dell'Università 16, 35020 Legnaro, PD, Italy.
The Science of the total environment
|July 1, 2023
概括
这项研究比较了RAMMS::AVALANCHE和FLO-2D雪崩模型. RAMMS::AVALANCHE更好地预测了沉积区域,但FLO-2D在参数校准后显示了危险映射的潜力.
科学领域:
- 地质科学 地质科学
- 计算力学 计算力学 计算力学
- 天然危害 天然危害
背景情况:
- 雪崩对山区社区和基础设施构成重大风险.
- 数字模型对于理解和预测雪崩动态至关重要.
- 对比不同的模拟工具对于改善危险评估至关重要.
研究的目的:
- 为了比较RAMMS::AVALANCHE和FLO-2D在模拟雪崩沉积区域中的性能.
- 为了评估FLO-2D的适用于雪崩模拟的适用性,该模型通常用于水和碎片流.
- 评估这些模型是否适用于实际的危险区域定义.
主要方法:
- 使用RAMMS::AVALANCHE和FLO-2D.进行二维数值模拟.
- 在意大利博尔扎诺 (Knollgraben,Pichler Erschbaum) 记录的两起雪崩事件的背景分析.
- 使用统计指数对模拟和观察到的沉积区域进行比较,并进行流深和流速分析.
主要成果:
- RAMMS::AVALANCHE通常可以更好地预测观察到的雪崩沉积物.
- 经过仔细校准风学参数后,FLO-2D在湿雪和干雪雪崩中产生了合适的结果.
- FLO-2D显示了雪崩传播研究和危险区划的潜力.
结论:
- RAMMS::AVALANCHE是用于预测雪崩沉积面积的可靠工具.
- FLO-2D可以适应雪崩模拟,为从业者提供了一种多功能选择.
- 进一步的研究和校准是优化FLO-2D对雪崩危险评估的关键.
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