ISSN 1003-8035 CN 11-2852/P
    QIAN Faqiao, DENG Yahong, MU Huandong, et al. Distributive characteristics of physical and mechaniscal parameters of the loess soils in Lüliang mountainous area[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(2): 61-70. DOI: 10.16031/j.cnki.issn.1003-8035.2022.02-08
    Citation: QIAN Faqiao, DENG Yahong, MU Huandong, et al. Distributive characteristics of physical and mechaniscal parameters of the loess soils in Lüliang mountainous area[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(2): 61-70. DOI: 10.16031/j.cnki.issn.1003-8035.2022.02-08

    Distributive characteristics of physical and mechaniscal parameters of the loess soils in Lüliang mountainous area

    • Loess is prone to geological hazards such as landslide, spalling and mud flow due to its special physical and mechanical properties and engineering characteristics. Therefore, it is of great significance to study regional distributive characteristics of loess parameters for geological hazard prevention and mitigation. The L1 loess stratum in Lüliang Mountains is taken as the research object. Based on field investigation and sampling at representative points, the soil properties of 340 groups of loess samples from 133 sites in the study area were tested in laboratory. Based on the obtained data, the distributive characteristics rules of soil properties of L1 loess strata in the study area were analyzed by statistical analysis and ArcGIS software platform. The results show that the distribution of clay content, natural water content, pore ratio, cohesion and internal friction angle have good regularity in north-south direction, but the regularities are slightly different between the eastern and western of the mountains. In addition, the regional distributive characteristics law of clay content, natural water content, cohesion and collapsibility coefficient is obvious. However, the internal friction angle is relatively discrete in regional distribution. The research results provide basic data for the evaluation of geological hazard susceptibility from the perspective of soil characteristics.
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