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

被引:1
|
作者
Lin, Gao-chao [1 ]
Liu, Wei [2 ]
Su, Xing [3 ]
机构
[1] Univ New South Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia
[2] Inner Mongolia Univ, Inst Transportat, Hohhot 010070, Peoples R China
[3] Gansu Acad Sci, Inst Geol Hazards Prevent, Lanzhou 730000, Peoples R China
基金
中国国家自然科学基金;
关键词
Loess; Landslide; Hydraulic properties; Water retention capacity and permeability; Soil Water Characteristic Curve (SWCC); Hydraulic conductivity; Van Genuchten model; Hydrogeological engineering; Geological hazards prevention engineering; SEISMIC RESPONSE; MUDSTONE SLOPE; MODEL; WATER; CONDUCTIVITY; TESTS; SOILS;
D O I
10.31035/cg2024006
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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. (c) 2024 China Geology Editorial Office.
引用
收藏
页码:291 / 302
页数:12
相关论文
共 38 条
  • [1] Hydraulic property variations with depth in a loess mudstone landslide
    Liu, Wei
    Lin, Gaochao
    Liu, Qingpeng
    Su, Xing
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [2] Variations in hydraulic properties of collapsible loess exposed to wetting and shearing
    Wang, Jiading
    Zhang, Dengfei
    Zhang, Yongshuang
    Chen, Hui
    Ma, Weiqian
    ACTA GEOTECHNICA, 2022, 17 (07) : 2995 - 3015
  • [3] Dynamic properties of Tianshui saturated remolded loess: A laboratory study
    Wang, Haojie
    Sun, Ping
    Liu, Enlong
    Li, Rongjian
    ENGINEERING GEOLOGY, 2020, 272
  • [4] Small to medium strain dynamic properties of Lanzhou loess, China
    Song, Binghui
    Tsinaris, Angelos
    Anastasiadis, Anastasios
    Pitilakis, Kyriazis
    Chen, Wenwu
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2022, 163
  • [5] Variations in hydraulic properties and collapse deformation of loess under vertical stress
    Guoliang Ran
    Yanpeng Zhu
    Tong Li
    Guangke Feng
    Wen Yang
    Environmental Earth Sciences, 2025, 84 (6)
  • [6] Variations in hydraulic properties of collapsible loess exposed to wetting and shearing
    Jiading Wang
    Dengfei Zhang
    Yongshuang Zhang
    Hui Chen
    Weiqian Ma
    Acta Geotechnica, 2022, 17 : 2995 - 3015
  • [7] Key factors in the reactivation of thick loess mudstone ancient landslides-a case study of the Gaojiawan landslide, China
    Xie, Qingyu
    Huang, Qiangbing
    Zhao, Junyan
    Kang, Xiaosen
    ENVIRONMENTAL EARTH SCIENCES, 2025, 84 (06)
  • [8] Rainfall- and Irrigation-Induced Landslide Mechanisms in Loess Slopes: An Experimental Investigation in Lanzhou, China
    Liu, Wei
    Bai, Ruiqiang
    Sun, Xinran
    Yang, Fang
    Zhai, Weiji
    Su, Xing
    ATMOSPHERE, 2024, 15 (02)
  • [9] Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China
    Quanfu Niu
    Xinghai Dang
    Yuefeng Li
    Yingxue Zhang
    Xiaolin Lu
    Wenxing Gao
    Environmental Earth Sciences, 2018, 77
  • [10] Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China
    Niu, Quanfu
    Dang, Xinghai
    Li, Yuefeng
    Zhang, Yingxue
    Lu, Xiaolin
    Gao, Wenxing
    ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (07)