17:15 〜 19:15
[HDS07-P05] Monitoring Groundwater Migration in Slopes Using ERT Method
キーワード：Electrical Resistivity Tomography, Slopes, Groundwater Flow
Slope failure poses significant risks, including loss of life, infrastructure damage, and landscape alterations. One of the key factors influencing slope stability is hydrogeological conditions, such as groundwater movement and precipitation. Electrical Resistivity Tomography (ERT) is a widely used geophysical technique for assessing slope conditions. This study aims to evaluate the effectiveness of ERT in monitoring groundwater movement before, during, and after rainfall events.
To achieve this, experiments were conducted using a slope tank model, where resistivity data readings were continuously recorded. Additionally, numerical analysis was performed using PLAXIS 2D to compare soil resistivity interpretations with computational results. The findings from both the physical model experiments and numerical simulations were then analyzed and compared.
The physical model experiments considered various factors that influence soil resistivity readings, including artificial rainfall, ERT configurations, and the materials used in the model. A low resistivity value was interpreted as an indication of high water content in the soil. The numerical analysis using PLAXIS 2D provided further insights into groundwater movement by assessing parameters such as groundwater head, pore water pressure, and degree of saturation.
The study results revealed a correlation between groundwater head, pore water pressure, and soil resistivity values. Specifically, higher groundwater head and pore water pressure corresponded to lower soil resistivity values. However, while ERT could visualize groundwater movement on the slope surface, it struggled to accurately quantify the volume and velocity of groundwater flow. Unlike PLAXIS 2D, which provides precise numerical values for each coordinate, ERT relies on a color scale for interpretation, limiting its accuracy in identifying groundwater dynamics.
In conclusion, while ERT is a useful tool for detecting groundwater movement in slopes, its accuracy remains lower compared to numerical methods like PLAXIS 2D. Further research and refinements in ERT techniques could enhance its reliability in slope stability monitoring.
To achieve this, experiments were conducted using a slope tank model, where resistivity data readings were continuously recorded. Additionally, numerical analysis was performed using PLAXIS 2D to compare soil resistivity interpretations with computational results. The findings from both the physical model experiments and numerical simulations were then analyzed and compared.
The physical model experiments considered various factors that influence soil resistivity readings, including artificial rainfall, ERT configurations, and the materials used in the model. A low resistivity value was interpreted as an indication of high water content in the soil. The numerical analysis using PLAXIS 2D provided further insights into groundwater movement by assessing parameters such as groundwater head, pore water pressure, and degree of saturation.
The study results revealed a correlation between groundwater head, pore water pressure, and soil resistivity values. Specifically, higher groundwater head and pore water pressure corresponded to lower soil resistivity values. However, while ERT could visualize groundwater movement on the slope surface, it struggled to accurately quantify the volume and velocity of groundwater flow. Unlike PLAXIS 2D, which provides precise numerical values for each coordinate, ERT relies on a color scale for interpretation, limiting its accuracy in identifying groundwater dynamics.
In conclusion, while ERT is a useful tool for detecting groundwater movement in slopes, its accuracy remains lower compared to numerical methods like PLAXIS 2D. Further research and refinements in ERT techniques could enhance its reliability in slope stability monitoring.