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我们对复杂水文地貌过程链的模拟效果如何?2012年秘鲁科迪勒拉布兰卡圣克鲁斯山谷的多湖溃决洪水。

How well can we simulate complex hydro-geomorphic process chains? The 2012 multi-lake outburst flood in the Santa Cruz Valley (Cordillera Blanca, Perú).

作者信息

Mergili Martin, Emmer Adam, Juřicová Anna, Cochachin Alejo, Fischer Jan-Thomas, Huggel Christian, Pudasaini Shiva P

机构信息

Institute of Applied Geology University of Natural Resources and Life Sciences (BOKU) Peter-Jordan-Straße 82 1190 Vienna Austria.

Geomorphological Systems and Risk Research, Department of Geography and Regional Research University of Vienna Universitätsstraße 7 1010 Vienna Austria.

出版信息

Earth Surf Process Landf. 2018 Jun 15;43(7):1373-1389. doi: 10.1002/esp.4318. Epub 2018 Jan 15.

Abstract

Changing high-mountain environments are characterized by destabilizing ice, rock or debris slopes connected to evolving glacial lakes. Such configurations may lead to potentially devastating sequences of mass movements (process chains or cascades). Computer simulations are supposed to assist in anticipating the possible consequences of such phenomena in order to reduce the losses. The present study explores the potential of the novel computational tool r.avaflow for simulating complex process chains. r.avaflow employs an enhanced version of the Pudasaini (2012) general two-phase mass flow model, allowing consideration of the interactions between solid and fluid components of the flow. We back-calculate an event that occurred in 2012 when a landslide from a moraine slope triggered a multi-lake outburst flood in the Artizón and Santa Cruz valleys, Cordillera Blanca, Peru, involving four lakes and a substantial amount of entrained debris along the path. The documented and reconstructed flow patterns are reproduced in a largely satisfactory way in the sense of empirical adequacy. However, small variations in the uncertain parameters can fundamentally influence the behaviour of the process chain through threshold effects and positive feedbacks. Forward simulations of possible future cascading events will rely on more comprehensive case and parameter studies, but particularly on the development of appropriate strategies for decision-making based on uncertain simulation results. © 2017 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.

摘要

高山环境变化的特点是与不断演变的冰川湖相连的冰、岩石或碎屑斜坡不稳定。这种地形可能导致潜在的毁灭性大规模运动序列(过程链或级联)。计算机模拟旨在帮助预测此类现象的可能后果,以减少损失。本研究探讨了新型计算工具r.avaflow在模拟复杂过程链方面的潜力。r.avaflow采用了普达萨尼(2012年)通用两相质量流模型的增强版本,能够考虑流中固体和流体成分之间的相互作用。我们对2012年发生的一起事件进行了反演,当时秘鲁布兰卡山脉阿尔蒂松和圣克鲁斯山谷的冰碛斜坡发生山体滑坡,引发了多湖泊溃决洪水,涉及四个湖泊,沿途夹带了大量碎屑。从经验充分性的角度来看,记录和重建的流动模式得到了大体令人满意的再现。然而,不确定参数的微小变化可能通过阈值效应和正反馈从根本上影响过程链的行为。对未来可能的级联事件进行正向模拟将依赖于更全面的案例和参数研究,但尤其依赖于基于不确定模拟结果制定适当的决策策略。© 2017作者。《地表过程与地貌》由约翰·威利父子有限公司出版。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/579e/6036440/402a642d90bd/ESP-43-1373-g001.jpg

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