PLT7 - Coupling Hydro-Dynamic and Geotechnical Models with Hyperspectral Imaging for Resilient Dam

Abstract Description: Seepage stands as a major issue that can cause significant problems in levees. During high water events, water follows the path of least resistance through the clay blanket, carrying soil particles with it and causing backward erosion piping (BEP). BEP can lead to catastrophic failures if not detected and mitigated early. In the past, erosion assessments have relied on surface indicators such as visible soil displacement, vegetation loss, and seepage patterns, which might not be sufficient for identifying subsurface erosion mechanisms. To address this limitation, this study introduces a non-invasive geotechnical and remote sensing approach to detect and monitor erosion hotspots across seasonal variations at a dam site located in Ross R Barnett Reservoir, Mississippi. Advanced, non-destructive techniques Electrical Resistivity Imaging (ERI), Multichannel Analysis of Surface Waves (MASW) are utilized to monitor the dam site. Hyperspectral Imaging (HSI) and LiDAR analysis are also included for comprehensive analysis, ERI is used to assess variations in subsurface moisture content and soil resistivity, providing insights into potential internal piping. MASW evaluates shear wave velocity profiles, identifying changes in soil stiffness and mechanical properties. GPR enables high-resolution imaging of subsurface discontinuities, detecting voids and weakened zones indicative of progressive erosion. HSI complements these geophysical methods by capturing spectral signatures of surface materials, monitoring soil composition, vegetation health, and moisture retention over time. By analyzing seasonal changes in geophysical parameters and hyperspectral indices, this study establishes a quantitative correlation between erosion progression and environmental factors. The integration of geotechnical methods with hyperspectral imaging enhances real-time erosion monitoring, offering a high-resolution, non-invasive risk assessment framework for flood control infrastructure. This approach provides a valuable tool for early detection, proactive maintenance, and improved resilience against erosion-induced failures.