Modeling the cumulative impact of river curvature on landslide-induced surge waves: Refinement based on the Pan's model
编号:10 访问权限:仅限参会人 更新:2025-12-30 19:35:59 浏览:20次 口头报告

报告开始:暂无开始时间(Asia/Hong_Kong)

报告时间:暂无持续时间

所在会场:[暂无会议] [暂无会议段]

暂无文件

摘要
The river curvature (κ) has a significant impact on the magnitude of the landslide induced surge waves (LISW). To overcome limitations of a widely used empirical relation, referred to as Pan's model, in estimating the surge wave magnitude for engineering design, and disaster prevention and mitigation, improvements in Pan's model are made in the paper. A method widely used in topography is adopted to quantify the rive curvature and accordingly a database is established that cover 71 dams in various rivers across China. Thereafter, a commercial computational fluid dynamic numerical code (FLOW-3D) is used to quantify the impact of the river curvature. Based on FLOW-3D numerical results, a new variable, the river-bend weighted length (S’), formulated in terms of weighting coefficients,is introduced to consistently capture the geometrical features of the upstream of the river from the location of the landslide to the engineering structures built in the river. Numerical results indicated that the effect of curvature on surge wave propagation stabilized for κ greater than 1.05, while the attenuation rate of surge wave height increases significantly with increasing curvature for κ below 1.05. Then, it is demonstrated that once the newly defined length that considers the river curvature replaces the length in Pan's model, the new model leads to a significant improvement in accuracy of estimating the surge waves magnitude. Two field cases are described to further demonstrate that. The first field case involves a landslide occurred Jinsha River in 2013. Due to the limited availability of surveillance data, FLOW-3D was used to estimate the surge wave magnitude. In the second field case, a landslide occurred in Qingjiang River in 2007. In contrast to the first field case, however, a wealth of surveillance data is available to identify the surge wave’s magnitude. In both cases, the new model’s predictions are consistent with FLOW-3D estimate or well recorded data.
 
关键词
Landslide induced surge waves; Rive curvature; Database; The newly defined length
报告人
Runze Zhao
PhD Chengdu University of Technology;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection

稿件作者
Runze Zhao Chengdu University of Technology;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
Qiyi Lai Chengdu University of Technology;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
Jianjun Zhao Chengdu University of Technology;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
Wenjun Yu Chengdu University of Technology;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
发表评论
验证码 看不清楚,更换一张
全部评论
重要日期
  • 会议日期

    02月05日

    2026

    02月09日

    2026

  • 01月01日 2026

    初稿截稿日期

  • 02月09日 2026

    注册截止日期

主办单位
香港理工大学
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询