中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Study on the rapid prediction model of debris flow barrier dam volume and morphology under different river blocking modes

文献类型:期刊论文

作者Chen, Huayong1,2; Yu, Yunhan1,2; Jiang, Yao1,2; Wang, Tao1,2; Chen, Jiangang1,2; Ruan, Hechun1,2
刊名LANDSLIDES
出版日期2024-11-13
页码15
关键词Debris flow barrier dam River blocking mode Geometric morphology Dam volume Mathematical model Tianmo Gully
ISSN号1612-510X
DOI10.1007/s10346-024-02393-8
英文摘要

The swift computation of geometric morphology and volume parameters of debris flow barrier dams is crucial for assessing dam stability and potential damage, aiming to reduce losses to life and property. In this study, the key parameters influencing river blockage by debris flow were integrated into six dimensionless factors. Through laboratory flume experiments and theoretical analysis, we examined the damming process and characteristics of debris flow barrier dams across various river blockage modes. The results revealed that: 1) Based on the characteristics of the river-blocking process by debris flows, the complete river-blocking mode is further refined into two types: the head-on collision mode and the continuous advancement mode. 2) The three-dimensional morphology of debris flow barrier dams differs under different river blocking modes. In the case of partial river-blocking mode, the horizontal projection of the dam body is fan-shaped, and the vertical profile is arch-shaped. For the head-on collision mode, the horizontal projection is trumpet-shaped or gourd-shaped, with the lowest point on the vertical profile being random. In the continuous advancement mode, the horizontal projection is trapezoidal or elongated, with the lowest point on the vertical profile located on the opposite bank. The cross-sectional shapes of the three river blocking modes conform to a Gaussian normal distribution. 3) Combining previous research with static equilibrium analysis and three-dimensional geometric analysis, we proposed a rapid prediction model for the geometric morphology and volume of debris flow barrier dams under different river blocking modes, which was successfully applied to the river-blocking event in Tianmo Gully on July 11, 2018, with a calculation error within 25%. The model in this study is based on the actual morphology of debris flow barrier dams, resulting in more accurate calculations.

WOS关键词LANDSLIDE DAMS ; TIBET
资助项目National Natural Science Foundation of China[U20A20112] ; National Natural Science Foundation of China[U21A2008] ; Science and Technology Program of Xizang Autonomous Region, China[XZ202201ZY0011G] ; Science and Technology Research Program of Institute of Mountain Hazards and Environment, CAS[IMHE-ZDRW-02] ; Nyingchi National Sustainable Development Experimental Zone Project[2023-SYQ-007]
WOS研究方向Engineering ; Geology
语种英语
WOS记录号WOS:001352726000001
出版者SPRINGER HEIDELBERG
资助机构National Natural Science Foundation of China ; Science and Technology Program of Xizang Autonomous Region, China ; Science and Technology Research Program of Institute of Mountain Hazards and Environment, CAS ; Nyingchi National Sustainable Development Experimental Zone Project
源URL[http://ir.imde.ac.cn/handle/131551/58519]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Yu, Yunhan
作者单位1.Univ Chinese Acad Sci, Beijing 100000, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610041, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Chen, Huayong,Yu, Yunhan,Jiang, Yao,et al. Study on the rapid prediction model of debris flow barrier dam volume and morphology under different river blocking modes[J]. LANDSLIDES,2024:15.
APA Chen, Huayong,Yu, Yunhan,Jiang, Yao,Wang, Tao,Chen, Jiangang,&Ruan, Hechun.(2024).Study on the rapid prediction model of debris flow barrier dam volume and morphology under different river blocking modes.LANDSLIDES,15.
MLA Chen, Huayong,et al."Study on the rapid prediction model of debris flow barrier dam volume and morphology under different river blocking modes".LANDSLIDES (2024):15.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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