r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows
r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows
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DOI：
10.5194/gmd-10-553-2017
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发表时间：
2016-09
影响因子：
5.1
通讯作者：
M. Mergili;J. Fischer;Julia Krenn;S. Pudasaini
中科院分区：
文献类型：
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作者：
M. Mergili;J. Fischer;Julia Krenn;S. Pudasaini
抽象的。 r.avaflow 代表了一种创新的开源计算工具，用于将快速质量流、雪崩或过程链从定义的释放区域沿着任意地形路由到沉积区域。与大多数现有的计算工具相比，r.avaflow (i) 采用两相、相互作用的固体和流体混合模型（Pudasaini，2012）； (ii) 适用于对或多或少复杂的流程链和交互进行建模； (iii) 明确考虑夹带和沉积停止，即基础形貌的变化； (iv) 允许定义多个释放质量和/或过程过程线； (v) 具有用于验证、参数优化和敏感性分析的内置功能。 r.avaflow 可作为 GRASS GIS 软件的栅格模块免费使用，采用编程语言 Python 和 C 以及统计软件 R。我们通过两组计算实验来举例说明 r.avaflow 的功能：（1）通用过程链，包括散装质量和过程线释放到水库中，并夹带大坝并影响下游； (2)史前Acheron岩崩，新西兰。 (1) 的模拟结果总体上是合理的，并且在优化两个关键参数之后，与 (2) 的相应观察结果相当一致。然而，我们发现了一些增强分析和数值概念的潜力。此外，为了使 r.avaflow 适合对未来可能的质量流事件进行可靠的正向模拟，需要进行彻底的参数研究。
Abstract. r.avaflow represents an innovative open-source computational tool for routing rapid mass flows, avalanches, or process chains from a defined release area down an arbitrary topography to a deposition area. In contrast to most existing computational tools, r.avaflow (i) employs a two-phase, interacting solid and fluid mixture model (Pudasaini, 2012); (ii) is suitable for modelling more or less complex process chains and interactions; (iii) explicitly considers both entrainment and stopping with deposition, i.e. the change of the basal topography; (iv) allows for the definition of multiple release masses, and/or hydrographs; and (v) serves with built-in functionalities for validation, parameter optimization, and sensitivity analysis. r.avaflow is freely available as a raster module of the GRASS GIS software, employing the programming languages Python and C along with the statistical software R. We exemplify the functionalities of r.avaflow by means of two sets of computational experiments: (1) generic process chains consisting in bulk mass and hydrograph release into a reservoir with entrainment of the dam and impact downstream; (2) the prehistoric Acheron rock avalanche, New Zealand. The simulation results are generally plausible for (1) and, after the optimization of two key parameters, reasonably in line with the corresponding observations for (2). However, we identify some potential to enhance the analytic and numerical concepts. Further, thorough parameter studies will be necessary in order to make r.avaflow fit for reliable forward simulations of possible future mass flow events.