Probabilistic landslide-generated impulse waves estimation in mountain reservoirs, a case study

IF 3.7 2区工程技术 Q3 ENGINEERING, ENVIRONMENTAL Bulletin of Engineering Geology and the Environment Pub Date : 2024-11-14 DOI:10.1007/s10064-024-04003-2

Hangsheng Ma, Huanling Wang, Hongjuan Shi, Weiya Xu, Jing Hou, Weiwei Wu, Wei-Chau Xie

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Abstract

Landslide-generated impulse waves (LGIWs) in mountain reservoirs pose serious threats to dam safety. In this paper, the potential LGIWs hazard induced by the ZJ landslide is studied by combining a hybrid SPH-SWEs method and LSTM networks. The hybrid SPH-SWEs method is used to investigate the evolution process of LGIWs, including landslide sliding, impulse wave generation, wave propagation, and running up on the dam. The map of the maximum water level is obtained. Subsequently, 49 calculation samples with different sliding velocities and failure volumes are established using the hybrid model. Based on the numerical samples, the sensitivity of sliding velocities and failure volume on the runup height on the dam is studied, and a LSTM surrogate model is trained to conduct the probabilistic analysis. The results show that the LGIWs is significantly influenced by topography. The influence of sliding velocity on the runup height on the dam surface is greater than that of the failure volume in this case study. The runup height on the dam surface is concentrated between 5.9 m and 7.5 m with a percentage of 84%. The results demonstrate that the combination of the SPH-SWEs method and the LSTM surrogate model can effectively carry out the probabilistic estimation of LGIWs in mountain reservoirs. This study provides technical support for disaster prevention associated with the ZJ landslide and presents a valuable method for assessing the risk of LGIWs.

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山区水库滑坡脉冲波的概率估算，一项案例研究

山区水库滑坡产生的脉冲波（LGIWs）对大坝安全构成严重威胁。本文结合 SPH-SWEs 混合方法和 LSTM 网络研究了 ZJ 滑坡诱发的潜在 LGIWs 危害。混合 SPH-SWEs 方法用于研究 LGIWs 的演变过程，包括滑坡滑动、脉冲波产生、波的传播以及在大坝上的运行。得到了最大水位图。随后，利用混合模型建立了 49 个具有不同滑动速度和溃坝体积的计算样本。在数值样本的基础上，研究了滑动速度和溃坝体积对大坝冲高的敏感性，并训练了一个 LSTM 代理模型来进行概率分析。结果表明，LGIWs 受地形影响很大。在本案例研究中，滑动速度对坝面上冲高度的影响大于对溃坝体积的影响。坝面滑升高度集中在 5.9 米至 7.5 米之间，占 84%。结果表明，SPH-SWEs 方法与 LSTM 代用模型相结合，可以有效地进行山区水库 LGIW 的概率估算。本研究为 ZJ 滑坡相关灾害的预防提供了技术支持，并提出了一种有价值的 LGIW 风险评估方法。

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

Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合

CiteScore

7.10

自引率

11.90%

发文量

445

审稿时长

4.1 months

期刊介绍： Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.