Mechanism of rainfall-induced shallow landslide and stability prediction model
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摘要: 强降雨引起的滑坡多以浅表堆积层滑移为主,易群发、危害性大,其地下水和土体内部含水率对降雨的水文响应机制复杂,难以精准开展稳定性预测。为研究降雨引起的滑坡水文响应对滑坡稳定性的影响,以四川省青川县后山里滑坡为例,开展现场降雨入渗监测、相关性分析和力学分析。通过连续三年的降雨量、土体水分和地下水位等监测,分析了降雨入渗-土体体积含水率-地下水位的响应规律,建立了降雨量与地下水位的相关关系,并基于无限斜坡稳定性计算公式构建了基于降雨量和地下水位埋深的浅层滑坡稳定性预测模型。结果表明:(1)年内地下水呈周期性波动,分为缓慢下降期、快速下降期和快速上升期三个阶段,且降雨量与地下水埋深呈线性负相关,与水位升幅相关性不显著;(2)根据稳定性预测模型确定了该滑坡失稳的临界降雨阈值81.8 mm/d和地下水埋深阈值0.73 m。研究结果可为降雨诱发浅表堆积层滑坡的预警预报提供参考。Abstract: The rainfall-induced shallow landslides are primarily debris landslides, characterized by chain-mass occurrence and high hazard, and the hydrological response mechanism of water table and soil moisture content to precipitation is complicated, which makes it difficult to accurately carry out the stability prediction. To further study the influence of the rainfall-triggered internal hydrological responses on the slope-stability, on-site precipitation infiltration monitoring, correlation analysis and mechanical analysis were carried out on the example of Houshanli landslide in Qingchuan County, Sichuan Province. The relationship between precipitation and water table was proposed based on three years of climate and hydrological monitoring data. The response of rainfall infiltration, soil volumetric water content and water table were analyzed. The results indicate that: (1) groundwater exhibits periodic fluctuations throughout the year, characterized by three phases of slow decline, rapid decline, and rapid ascent. Additionally, there is a linear negative correlation between precipitation and water table, with no significant correlation observed with the water table increment; (2) Through the infinite slope model and the relationship between precipitation and water table, a prediction model for shallow landslide stability was constructed. The precipitation threshold (81.8 mm/d) and water table threshold (0.73 m) were determined which align with the actual situations. This provides an early warning method for rainfall-induced shallow landslides by monitoring these two factors.
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Key words:
- debris landslide /
- precipitation /
- water table /
- landslide stability /
- early warning
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表 1 7月—8月主要降雨事件中降雨量及其引起的地下水位变化参数
Table 1. Daily Precipitation and the related groundwater level variation in July and August
日期 水位升幅
当日降雨量/mm降雨前初始
水位埋深/m降雨截止最高
水位深度/m水位升幅/m 2020/7/10* 29.9 2.59 2.55 0.04 2020/7/24* 83.9 2.40 0.65 1.75 2020/7/25* 16.3 1.32 0.97 0.35 2020/7/29* 21.0 1.93 1.64 0.29 2020/7/30 13.4 1.65 1.50 0.15 2020/8/5* 69.6 1.94 0.92 1.02 2020/8/6 21.8 1.41 1.20 0.21 2020/8/11 134.2 1.92 0.51 1.41 2020/8/12 103.7 1.24 0.62 0.62 2020/8/14 14.4 1.46 1.36 0.10 2020/8/15 80.6 1.49 0.81 0.68 2020/8/16 127.3 0.87 0.62 0.25 2020/8/17 111.2 0.90 0.54 0.36 2020/8/22 20.4 1.36 1.25 0.11 2020/8/23* 41.5 1.19 1.16 0.03 2020/8/30 44.1 1.57 0.90 0.67 2021/7/10* 52.6 2.68* 2.44 0.24 2021/7/14 47.5 2.10 1.88 0.22 2021/8/16* 21.6 2.93 2.91 0.02 2021/8/17* 54.2 2.93 1.74 1.19 2021/8/18* 124.1 1.68 0.85 0.83 2021/8/19* 12.7 1.31 1.08 0.23 2021/8/21* 15.2 1.65 1.54 0.11 2021/8/22 14.6 1.41 1.30 0.11 2022/7/12* 62.4 2.62 2.45 0.17 2022/7/13* 54.9 2.42 1.13 1.29 2022/7/14* 50.4 1.51 0.63 0.88 2022/7/16 17.2 1.70 1.28 0.42 2022/7/22* 22.1 2.00 1.81 0.19 2022/7/27* 19.6 2.12 2.04 0.08 2022/8/4* 31.1 2.17 1.91 0.26 2022/8/25* 89.4 2.52 1.51 1.01 2022/8/26 11.7 1.62 1.50 0.12 2022/8/27 25.6 1.61 1.19 0.42 2022/8/28* 50.6 1.44 0.59 0.85 *.剔除降雨强度<10 mm/h和地下水位埋深>2 m的数据 -
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