滑坡涌浪危险性云模型及其应用研究

doi:10.3969/j.issn.1674-0696.2025.05.11

重庆交通大学学报（自然科学版） ›› 2025, Vol. 44 ›› Issue (5): 81-87.DOI: 10.3969/j.issn.1674-0696.2025.05.11

• 港口航道·水利水电 • 上一篇

滑坡涌浪危险性云模型及其应用研究

牟萍1，王平义1，韩林峰1，喻涛1，张帆2

(1. 重庆交通大学水利水运工程教育部重点实验室，重庆 400041； 2. 长江师范学院土木建筑工程学院，重庆 408100)

收稿日期:2024-06-06 修回日期:2025-03-11 发布日期:2025-05-23
作者简介:牟萍（1986—），山东德州人，副教授，博士，主要从事滑坡涌浪灾害风险评估方面研究。E-mail: muping@cqjtu.edu.cn 通信作者：喻涛(1980—)，河南信阳人，教授，博士，主要从事水沙动力学、航道整治理论及技术方面的研究。E-mail: 990201500008@cqjtu.edu.cn
基金资助:
重庆市社会科学规划项目(2021BS064); 国家自然科学基金面上项目( 52379059 ); 重庆市自然科学基金创新发展联合基金项目（CSTB2023NSCQ-LZX0097）; 重庆交通大学国家内河航道整治工程技术研究中心暨水利水运工程教育部重点实验室开放基金项目(SLK2021B07)

Cloud Model of the Landslide-Generated Surge Hazard and Its Application

MU Ping1, WANG Pingyi1, HAN Linfeng1, YU Tao1, ZHANG Fan2

(1. Key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education, Chongqing Jiaotong University, Chongqing 400074, China;2. School of Civil and Architectural Engineering, Yangtze Normal University, Chongqing 408100, China)

Received:2024-06-06 Revised:2025-03-11 Published:2025-05-23

摘要/Abstract

摘要： 滑坡涌浪灾害作为一种突发性自然灾害，其预测与防护是工程中需研究的重要问题。笔者在涌浪成因机理分析基础上，基于滑坡体规模、坡形、岩性、高度、水面宽度、水深和河道特征等7个影响因子的滑坡涌浪危险性指标体系，构建了滑坡涌浪危险性评价云模型，并将该云模型应用于三峡库区3组典型滑坡案例。结果表明：云模型理论可用于研究滑坡涌浪灾害危险性；三峡库区典型滑坡涌浪灾害的危险程度处于中等和较高之间；应对库区潜在滑坡体进行实时监测预警，并采取相应的措施。

关键词: 港口与航道工程；滑坡涌浪；危险性；云模型；指标体系

Abstract: As a type of abrupt natural disaster, the prediction and prevention of landslide-generated surge disaster are important issues that need to be studied in engineering. Based on the analysis of the landslide-generated surge formation mechanism, a landslide-generated surge hazard assessment cloud model based on its evaluation index system including seven influencing factors was established, such as landslide scale, slope shape, lithology, height, water surface width, water depth and river channel characteristics. Moreover, the proposed cloud model was applied to three typical landslide cases in the Three Gorges Reservoir area. The results indicate that the proposed cloud model theory can be used to study the hazard of the landslide-generated surge disasters. The hazard level of the typical landslide-generated surge disasters in the Three Gorges Reservoir area ranges from moderate to high. It is necessary to conduct real-time monitoring and early warning of potential landslide bodies in the reservoir area and to take corresponding measures.

Key words: port and waterway engineering; landslide-generated surge; hazard; cloud model; index system

中图分类号:

U617
X43

牟萍1，王平义1，韩林峰1，喻涛1，张帆2. 滑坡涌浪危险性云模型及其应用研究[J]. 重庆交通大学学报（自然科学版）, 2025, 44(5): 81-87.

MU Ping1, WANG Pingyi1, HAN Linfeng1, YU Tao1, ZHANG Fan2. Cloud Model of the Landslide-Generated Surge Hazard and Its Application[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(5): 81-87.

参考文献

［1］ ZHOU Jiawen, XU Fugang, YANG Xingguo, et al. Comprehensive analyses of the initiation and landslide-generated wave processes of the 24 June 2015 Hongyanzi landslide at the Three Gorges Reservoir, China［J］. Landslides, 2016, 13(3): 589-601.
［2］ FRITZ H M, HAGER W H, MINOR H E. Near field characteristics of landslide generated impulse waves［J］. Journal of Waterway, Port, Coastal, and Ocean Engineering, 2004, 130(6): 287-302.
［3］ XUE Hongcheng, MA Qian, DIAO Mingjun, et al. Propagation characteristics of subaerial landslide-generated impulse waves［J］. Environmental Fluid Mechanics, 2019, 19(1): 203-230.
［4］韩林峰, 王平义. 基于动量平衡的三维滑坡涌浪最大近场波幅预测［J］. 岩石力学与工程学报, 2018, 37(11): 2584-2592.
HAN Linfeng, WANG Pingyi. Prediction of the maximum near-field wave amplitude of impulse waves generated by three-dimensional landslides based on momentum balance［J］. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(11): 2584-2592.
［5］ WANG Xiaoliang, SHI Chuanqi, LIU Qingquan, et al. Numerical study on near-field characteristics of landslide-generated impulse waves in channel reservoirs［J］. Journal of Hydrology, 2021, 595: 126012.
［6］ TRINAISTICH W C, MULLIGAN R P, TAKE W A. Runup of landslide-generated waves breaking on steep slopes captured using digital imagery and hydrochromic paint［J］. Coastal Engineering, 2021, 166: 103888.
［7］ WANG Pingyi, SONG Di, HUA Lu, et al. Experimental study on landslide-generated waves overtopping in reservoirs with arch dams［J］. Journal of Hydraulic Engineering, 2024, 150(5): 04024029.
［8］许凯凯, 张全, 黄波林, 等. 三峡库区河道滑坡涌浪消减简单结构物型式优化研究［J］. 工程地质学报, 2024, 32(1): 216-226.
XU Kaikai, ZHANG Quan, HUANG Bolin, et al. Study on the optimization of the simple structure type for river landslide surge reduction in Three Gorges Reservoir area［J］. Journal of Engineering Geology, 2024, 32(1): 216-226.
［9］黄波林, 董星辰, 殷跃平, 等. 典型滑坡涌浪降能减浪试验研究［J］. 岩石力学与工程学报, 2024, 43(6): 1397-1405.
HUANG Bolin, DONG Xingchen, YIN Yueping, et al. Experimental study on energy reduction and wave descent of typical landslide-induced impulse waves［J］. Chinese Journal of Rock Mechanics and Engineering, 2024, 43(6): 1397-1405.
［10］王周萼, 蔡耀军. 金沙江上游旭龙水电站库区滑坡堵江及涌浪风险研究［J］. 长江科学院院报, 2023, 40(1): 81-86.
WANG Zhoue, CAI Yaojun. Risks of landslide dam and surge in Xulong Hydropower Station reservoir area in upstream Jinsha River［J］. Journal of Yangtze River Scientific Research Institute, 2023, 40(1): 81-86.
［11］李东阳, 年廷凯, 吴昊, 等. 滑坡-堵江-涌浪灾害链模拟的DEM-CFD耦合分析方法及其应用［J］. 工程科学与技术, 2023, 55(1): 141-149.
LI Dongyang, NIAN Tingkai, WU Hao, et al. Coupled DEM-CFD method for landslide-river blockage-impulse wave disaster chain simulation and its application［J］. Advanced Engineering Sciences, 2023, 55(1): 141-149.
［12］牟萍, 王平义, 韩林峰, 等. 滑坡涌浪灾害物理模型试验研究综述［J］. 中国安全生产科学技术, 2020, 16(1): 43-49.
MU Ping, WANG Pingyi, HAN Linfeng, et al. Review on research about disaster of landslide-generated impulse waves based on physical model experiment approach［J］. Journal of Safety Science and Technology, 2020, 16(1): 43-49.
［13］张满银, 王生新, 孙志忠, 等. 基于云理论的油气管道滑坡危险性综合评价［J］. 工程科学学报, 2018, 40(4): 427-437.
ZHANG Manyin, WANG Shengxin, SUN Zhizhong, et al. Comprehensive evaluation of landslide risks of oil and gas pipelines based on cloud theory［J］. Chinese Journal of Engineering, 2018, 40(4): 427-437.
［14］李琛曦, 潘怡, 翟星, 等. 崩塌灾害危险性评价云模型及其应用［J］. 灾害学, 2023, 38(4): 23-28.
LI Chenxi, PAN Yi, ZHAI Xing, et al. Cloud model of collapse hazard assessment and its application［J］. Journal of Catastrophology, 2023, 38(4): 23-28.
［15］李莉, 倪波, 强跃, 等. 基于改进云模型和线性规划优化算法的山区泥石流危险性评价［J］. 重庆交通大学学报(自然科学版), 2024, 43(7): 34-43.
LI Li, NI Bo, QIANG Yue, et al. Risk assessment of mountain debris flows based on improved cloud model and linear programming optimization algorithm［J］. Journal of Chongqing Jiaotong University (Natural Science), 2024, 43(7): 34-43.
［16］余岭燕, 郭荣昌, 张蕊. 基于博弈论和云模型的滑坡危险性评价［J］. 自然灾害学报, 2024, 33(1): 186-196.
YU Lingyan, GUO Rongchang, ZHANG Rui. Landslide hazard evaluation based on game theory and cloud model［J］. Journal of Natural Disasters, 2024, 33(1): 186-196.
［17］陶虎, 胡广录, 白元儒, 等. 基于二次博弈云模型的石羊河流域水资源承载力评价［J］. 水电能源科学, 2024, 42(5): 58-62.
TAO Hu, HU Guanglu, BAI Yuanru, et al. Evaluation of water resources carrying capacity of Shiyang River basin based on quadratic game theory cloud model［J］. Water Resources and Power, 2024, 42(5): 58-62.
［18］李德毅, 孟海军, 史雪梅. 隶属云和隶属云发生器［J］. 计算机研究与发展, 1995, 32(6): 15-20.
LI Deyi, MENG Haijun, SHI Xuemei. Membership clouds and membership cloud generators［J］. Journal of Computer Research and Development, 1995, 32(6): 15-20.
［19］傅鹤林, 黄震, 黄宏伟, 等. 基于云理论的隧道结构健康诊断方法［J］. 工程科学学报, 2017, 39(5): 794-801.
FU Helin, HUANG Zhen, HUANG Hongwei, et al. Health diagnosis method of shield tunnel structure based on cloud theory［J］. Chinese Journal of Engineering, 2017, 39(5): 794-801.
［20］章国材. 自然灾害风险评估与区划原理和方法［M］. 北京: 气象出版社, 2014.
ZHANG Guocai. Principles and Methods of Natural Disaster Risk Assessment and Zoning［M］. Beijing: China Meteorological Press, 2014.
［21］贺仁品, 山区弯曲河道型水库异岸滑坡涌浪特性的试验对比研究［D］. 重庆:重庆交通大学, 2016.
HE Renpin. Experimental Comparative Study on the Different Characteristics of the Landslide Surge in Mountain Bend River Type Reservoir［D］. Chongqing: Chongqing Jiaotong University, 2016.

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滑坡涌浪危险性云模型及其应用研究

Cloud Model of the Landslide-Generated Surge Hazard and Its Application

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