A Review of Advanced Soil Moisture Monitoring Techniques for Slope Stability Assessment

探地雷达 含水量 反射计 电阻率层析成像 环境科学 边坡稳定性 土壤科学 水分 时域 岩土工程 遥感 地质学 雷达 工程类 计算机科学 气象学 电阻率和电导率 电信 物理 电气工程 计算机视觉
作者
Yongsheng Yao,J.Q. Fan,Jue Li
出处
期刊:Water [Multidisciplinary Digital Publishing Institute]
卷期号:17 (3): 390-390 被引量:16
标识
DOI:10.3390/w17030390
摘要

Slope failures caused by changes in soil moisture content have become a growing global concern, resulting in significant loss of life and economic damage. To ensure the stability of slopes, it is necessary to accurately monitor the moisture content and understand the complex interactions between soil, water, and slope behavior. This paper provides a comprehensive overview of advanced soil moisture detection techniques for unsaturated soil slopes, including point-scale measurements and geophysical methods. It first introduces the fundamental concepts of the soil–water characteristic curve (SWCC) and its influence on the shear strength and stability of unsaturated soil slopes. It then delves into the working principles and applications of various point-scale measurement techniques, such as time-domain reflectometry (TDR), frequency-domain reflectometry (FDR), and neutron probe methods. Additionally, this paper explores the use of geophysiDear Editor: The author has checked that the name and affiliation are accuratecal methods, including ground-penetrating radar (GPR), electrical resistivity tomography (ERT), and electromagnetic induction (EMI), for the non-invasive assessment of soil moisture conditions and slope stability monitoring. This review highlights the advantages of integrating multiple geophysical techniques, combined with traditional geotechnical and hydrological measurements, to obtain a more comprehensive understanding of the subsurface conditions and their influence on slope stability. Several case studies are presented to demonstrate the successful application of this integrated approach in various slope monitoring scenarios. The continued advancement in these areas will contribute to the development of more accurate, reliable, and widely adopted solutions for the assessment and management of slope stability risks.
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