raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (8): 10-19.DOI: 10.11988/ckyyb.20240720

• 河湖保护与治理 • 上一篇    下一篇

长江荆州河段2024年崩岸风险综合评估及影响因素分析

李凌云1,2(), 邓彩云1,2, 陈飞3, 刘国亮4, 何广水1,2, 郭超1,2, 王洪杨1,2()   

  1. 1 raybet体育在线 河流研究所,武汉 430010
    2 raybet体育在线 水利部长江中下游河湖治理与防洪重点实验室,武汉 430010
    3 荆州市长江河道管理局,湖北 荆州 434000
    4 荆州市长江河道管理局 荆州市河道管理技术中心,湖北 荆州 434000
  • 收稿日期:2024-07-08 修回日期:2024-09-08 出版日期:2025-08-01 发布日期:2025-08-01
  • 通信作者:
    王洪杨(1991-),男,河北景县人,工程师,博士,主要从事河床演变与航道治理研究。E-mail:
  • 作者简介:

    李凌云(1982-),男,湖南慈利人,正高级工程师,博士,主要从事水力学及河流动力学研究。E-mail:

  • 基金资助:
    国家重点研发计划项目(2023YFC3209500); 国家自然科学基金长江水科学研究联合基金项目(U2240206); 国家自然科学基金长江水科学研究联合基金项目(U2240224)

Risk Assessment and Influencing Factors of Bank Collapse in Jingzhou Section of Yangtze River in 2024

LI Ling-yun1,2(), DENG Cai-yun1,2, CHEN Fei3, LIU Guo-liang4, HE Guang-shui1,2, GUO Chao1,2, WANG Hong-yang1,2()   

  1. 1 River Research Department,Changjiang River Scientific Research Institute,Wuhan 430010,China
    2 Key Laboratory of River and Lake Regulation and Flood Control in the Middle and Lower Reaches of the Changjiang River of Ministry of Water Resources,Changjiang River Scientific Research Institute, Wuhan 430010, China
    3 Jingzhou River Management Bureau, Jingzhou 434000, China
    4 Jingzhou River Management Technology Center, Jingzhou River Management Bureau, Jingzhou 434000, China
  • Received:2024-07-08 Revised:2024-09-08 Published:2025-08-01 Online:2025-08-01

摘要: 崩岸影响因素众多、机理复杂,其预测与预警难度大,近年来长江中游河道持续冲刷,局部河势调整剧烈,崩岸加剧,严重影响防洪、航运及沿江经济社会发展。采用的基于层次分析法的长江中游崩岸风险综合评估指标体系包含崩岸现状、基底条件以及近岸变化3个维度、6项特征指标。在此基础上,构建了长江中游崩岸风险综合评价模型,提出了崩岸预警3级划分标准,并将其应用于长江干流荆州河段。结果表明:2024年研究河段崩岸预测红色等级的高风险岸段共有9段,多分布在天然未护段,但局部已护段崩岸预警级别仍然较高。其中,Ⅰ级和Ⅱ级预警岸段总长分别为3.54、16.76 km。研究成果可为长江中游多指标崩岸风险评价模型建立与实践应用提供技术支撑。

关键词: 崩岸, 风险评估, 影响因素, 层次分析法, 崩岸预警, 长江干流荆州河段

Abstract:

[Objectives] Bank collapse is a major form of planform deformation of alluvial riverbeds and one of the major natural disasters in the middle and lower reaches of the Yangtze River. However, due to multiple influencing factors and complex mechanisms of bank collapse, its accurate prediction and early warning remain challenging. After the construction and operation of the Three Gorges and upstream cascade reservoir groups, the Jingzhou section of the Yangtze River in Hubei Province shows long-distance and long-term scour trends, with significantly increased bank collapse risks, seriously affecting flood control, navigation, and socio-economic development along the river. This study aims to develop a method for predicting bank collapse under continuous scour conditions in the middle reaches of the Yangtze River, providing technical support for the establishment and practical application of a multi-indicator bank collapse risk assessment model. [Methods] A comprehensive bank collapse risk evaluation indicator system was developed for the middle reaches of the Yangtze River based on the analytic hierarchy process, encompassing three dimensions: current bank collapse status, substrate conditions, and near-bank variations, with a total of six characteristic indicators. On this basis, a comprehensive bank collapse risk assessment model in the middle reaches of the Yangtze River was established. Three-level early warning classification criteria for bank collapse were proposed, and they were applied to predict bank collapse risks in the Jingjiang and Honghu sections of the Yangtze River mainstream. [Results] Following the operation of the Three Gorges Project, most of the bank collapses and areas with high bank collapse intensity in the Jingzhou section of the Yangtze River mainstream were largely associated with local river regime adjustments. In addition to collapse occurring in unprotected bank sections, many failures occurred in the weak parts of protected sections or lightly protected sections, with a notable increase in sudden bank collapse events. In 2024, the Jingzhou section of the Yangtze River mainstream in Hubei had nine bank sections predicted to be at high risk of collapse with a red warning level. The majority of the high-risk bank collapse sections were distributed in natural unprotected sections, though some protected sections still had relatively high early warning levels for bank collapse. Among them, the total lengths of the Level I and II warning bank sections were 3.54 km and 16.76 km, respectively. [Conclusions] Based on the evaluation results of typical bank sections including protected, unprotected, and mainstream-adjacent banks, the bank collapse risk assessment model constructed in this study demonstrates certain applicability for bank collapse prediction in typical sections of the middle reaches of the Yangtze River. The characteristic indicators show certain sensitivity to variations in different bank conditions, and the proposed classification criteria for bank collapse early warning levels are reasonably sound.

Key words: bank collapse, risk assessment, influencing factors, analytic hierarchy process, bank collapse early-warning, Jingzhou section of Yangtze River mainstream

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