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 50 条
  • [1] Unraveling the hydraulic properties of loess for landslide prediction:A study on variations in loess landslides in Lanzhou, Dingxi, and Tianshui, China
    Gao-chao Lin
    Wei Liu
    Xing Su
    China Geology, 2024, 7 (02) : 291 - 302
  • [2] Hydraulic property variations with depth in a loess mudstone landslide
    Liu, Wei
    Lin, Gaochao
    Liu, Qingpeng
    Su, Xing
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [3] Distribution and characteristics of loess landslides induced by the 1654 Tianshui earthquake, Northwest of China
    Li, Xiaobo
    Yan, Lingyong
    Wu, Yiwen
    Peng, Da
    Duan, Junjie
    Bo, Jingshan
    LANDSLIDES, 2023, 20 (12) : 2775 - 2790
  • [4] Distribution and characteristics of loess landslides induced by the 1654 Tianshui earthquake, Northwest of China
    Xiaobo Li
    Lingyong Yan
    Yiwen Wu
    Da Peng
    Junjie Duan
    Jingshan Bo
    Landslides, 2023, 20 : 2775 - 2790
  • [5] Study on the Geotechnical Property Changes of Loess after Seismic Landslides-A Case Study of the Subao Loess Landslide in Ningxia, China
    Peng, Da
    Bo, Jingshan
    Chang, Chaoyu
    Li, Xiaobo
    Duan, Yushi
    Qi, Wenhao
    APPLIED SCIENCES-BASEL, 2023, 13 (19):
  • [6] Multiple Statistical Models Based Analysis of Causative Factors and Loess Landslides in Tianshui City, China
    Su, Xing
    Meng, Xingmin
    Ye, Weilin
    Wu, Weijiang
    Liu, Xingrong
    Wei, Wanhong
    2017 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENT POLLUTION AND PREVENTION (ICEPP 2017), 2018, 120
  • [7] Study on Prediction and Computer Simulation of Loess Landslide
    Jia, Yajun
    Chen, Cunli
    Zhang, Dengfei
    Wang, Ping
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 20 - 20
  • [8] Dynamic properties of Tianshui saturated remolded loess: A laboratory study
    Wang, Haojie
    Sun, Ping
    Liu, Enlong
    Li, Rongjian
    ENGINEERING GEOLOGY, 2020, 272
  • [9] Red clay/mudstone distribution, properties and loess–mudstone landslides in the Loess Plateau, China
    Changyu Liang
    Hui Zhang
    Tao Wang
    Environmental Earth Sciences, 2022, 81
  • [10] 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