Unraveling the hydraulic properties of loess for landslide prediction: A study on variations in loess landslides in Lanzhou, Dingxi, and Tianshui, China

IF 4.6 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY China Geology Pub Date : 2024-04-25 DOI:10.31035/cg2024006
Gao-chao Lin , Wei Liu , Xing Su
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Abstract

Loess has distinctive characteristics, leading to frequent landslide disasters and posing serious threats to the lives and properties of local residents. The involvement of water represents a critical factor in inducing loess landslides. This study focuses on three neighboring cities sequentially situated on the Loess Plateau along the direction of aeolian deposition of loess, namely Lanzhou, Dingxi, and Tianshui, which are densely populated and prone to landslide disasters. The variations in hydraulic properties, including water retention capacity and permeability, are investigated through Soil Water Characteristic Curve (SWCC) test and hydraulic conductivity test. The experimental findings revealed that Tianshui loess exhibited the highest water retention capacity, followed by Dingxi loess, while Lanzhou loess demonstrated the lowest water retention capacity. Contrastingly, the results for the saturated permeability coefficient were found to be the opposite: Tianshui loess showed the lowest permeability, whereas Lanzhou loess displayed the highest permeability. These results are supported and analyzed by scanning electron microscopy (SEM) observation. In addition, the water retention capacity is mathematically expressed using the van Genuchten model and extended to predict unsaturated hydraulic properties of loess. The experimental results exhibit a strong accordance with one another and align with the regional distribution patterns of disasters.

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为滑坡预测揭示黄土的水力特性:中国兰州、定西和天水黄土滑坡变化研究
黄土具有鲜明的特点,导致滑坡灾害频发,严重威胁当地居民的生命和财产安全。水的参与是诱发黄土滑坡的关键因素。本研究以黄土高原沿黄土风化沉积方向依次分布的三个相邻城市为研究对象,即兰州、定西和天水,这三个城市人口密集,易发生滑坡灾害。通过土壤水特征曲线(SWCC)试验和导水率试验研究了水力特性的变化,包括保水能力和渗透性。实验结果表明,天水黄土的保水能力最高,其次是定西黄土,而兰州黄土的保水能力最低。与此相反,饱和渗透系数的结果却恰恰相反:天水黄土的透水性最低,而兰州黄土的透水性最高。这些结果得到了扫描电子显微镜(SEM)观察结果的支持和分析。此外,还利用 van Genuchten 模型对保水能力进行了数学表达,并扩展到黄土非饱和水力特性的预测。实验结果显示出很强的一致性,并与灾害的区域分布模式相吻合。
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来源期刊
China Geology
China Geology GEOLOGY-
CiteScore
7.80
自引率
11.10%
发文量
275
审稿时长
16 weeks
期刊最新文献
Carbon emission reduction: Contribution of photovoltaic power and practice in China Runout prediction of potential landslides based on the multi-source data collaboration analysis on historical cases Extensive identification of landslide boundaries using remote sensing images and deep learning method Unraveling the hydraulic properties of loess for landslide prediction: A study on variations in loess landslides in Lanzhou, Dingxi, and Tianshui, China Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province, China
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