Investigation of the slope-type debris flow disaster chain triggered by a landslide-induced road blockage in Yingpan Township, Shuicheng, Guizhou, on July 27, 2023

IF 5.8 2区 工程技术 Q1 ENGINEERING, GEOLOGICAL Landslides Pub Date : 2024-05-27 DOI:10.1007/s10346-024-02277-x
Li Qingmiao, Zhao Jianjun, Zuo Jing, Ji Feng, Deng Jie, Liu Shuowei, Lai Qiyi
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Abstract

On July 27, 2023, at approximately 04:00, a debris flow, with an estimated volume of 25,000 m3, struck Lanhua Village in the southern part of Shuicheng District, Guizhou Province, China. This event led to the burial and damage of 15 houses in Lanhua Village. Remarkably, residents successfully observed this debris flow 30 min before its peak arrival, enabling sufficient time for evacuation prior to the onset of this fatal geological disaster. To elucidate the evolutionary process of the Lanhua Village debris flow, a detailed field survey was conducted utilizing unmanned aerial vehicle (UAV) technology. The findings suggest that extreme heavy rainfall served as the primary trigger for the debris flow. Landslides, comprising residual slope deposits at the top of the slope and induced by rainfall, resulted in the obstruction of Highway X244 and the blockage of culverts beneath the road. These blockages contributed to the formation of a peak cross-basin flood, exceeding 7 m3/s, which acted as the driving force initiating the debris flow. The thick layer of colluvial deposits covering the slope surface, with approximately 23,000 m3 of material mobilized by flood erosion, constituted the primary source contributing to the rapid expansion and movement of the debris flow. The topography, characterized by steep upper slopes and gentler lower slopes, was a contributing factor to the debris flow deposits spreading into residential areas, resulting in disaster. The event in Lanhua Village exemplifies a “landslide-blockage-flood diversion-erosion-debris flow” disaster chain.

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2023 年 7 月 27 日贵州水城营盘镇山体滑坡引发的道路阻断滑坡型泥石流灾害链调查报告
2023 年 7 月 27 日 4 时许,中国贵州省水城县南部的兰花村发生泥石流,体积约为 25,000 立方米。这次事件导致兰花村 15 栋房屋被掩埋和损坏。值得注意的是,居民们在泥石流高峰来临前 30 分钟成功观测到了泥石流,从而有足够的时间在这场致命的地质灾害发生前撤离。为了阐明兰花村泥石流的演变过程,我们利用无人机(UAV)技术进行了详细的实地调查。研究结果表明,特大暴雨是引发泥石流的主要原因。山体滑坡由坡顶的残余坡积物组成,由降雨引发,导致 X244 公路受阻,公路下方的涵洞堵塞。这些堵塞导致跨流域洪水峰值超过 7 立方米/秒,成为引发泥石流的驱动力。山坡表面覆盖着厚厚的冲积层,其中约 23,000 立方米的物质被洪水侵蚀,是泥石流迅速扩大和移动的主要原因。上坡陡、下坡缓的地形特点是泥石流沉积物向居民区蔓延并造成灾害的一个因素。兰花村事件体现了 "滑坡-堵塞-分洪-侵蚀-泥石流 "的灾害链。
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来源期刊
Landslides
Landslides 地学-地球科学综合
CiteScore
13.60
自引率
14.90%
发文量
191
审稿时长
>12 weeks
期刊介绍: Landslides are gravitational mass movements of rock, debris or earth. They may occur in conjunction with other major natural disasters such as floods, earthquakes and volcanic eruptions. Expanding urbanization and changing land-use practices have increased the incidence of landslide disasters. Landslides as catastrophic events include human injury, loss of life and economic devastation and are studied as part of the fields of earth, water and engineering sciences. The aim of the journal Landslides is to be the common platform for the publication of integrated research on landslide processes, hazards, risk analysis, mitigation, and the protection of our cultural heritage and the environment. The journal publishes research papers, news of recent landslide events and information on the activities of the International Consortium on Landslides. - Landslide dynamics, mechanisms and processes - Landslide risk evaluation: hazard assessment, hazard mapping, and vulnerability assessment - Geological, Geotechnical, Hydrological and Geophysical modeling - Effects of meteorological, hydrological and global climatic change factors - Monitoring including remote sensing and other non-invasive systems - New technology, expert and intelligent systems - Application of GIS techniques - Rock slides, rock falls, debris flows, earth flows, and lateral spreads - Large-scale landslides, lahars and pyroclastic flows in volcanic zones - Marine and reservoir related landslides - Landslide related tsunamis and seiches - Landslide disasters in urban areas and along critical infrastructure - Landslides and natural resources - Land development and land-use practices - Landslide remedial measures / prevention works - Temporal and spatial prediction of landslides - Early warning and evacuation - Global landslide database
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