Final Report - 492 (Final Report)

Download File

Final_Report_-_492.pdf

Description

This report summaries research findings of Phase 2 of the project titled Improve Highway Safety by Reducing the Risks of Landslides, sponsored by National UTC – Safety 21 program. The report is organized in the following order. In the introduction section we will provide a brief background about geological hazards and objectives of the research project. We follow with geotechnical asset management and current status (Chapter 2). The updates on field and lab investigation were provided in Chapter 3. Applications of LiDAR data in detection and characterization of landslides in Prince George’s County were discussed in Chapter 4. To better understanding the roles of precipitation in triggering landslides soil moisture mapping procedures using Sentinel I data with ML approaches were proposed and tested with a case study in Prince George’s County Maryland (Chapter 5). The numerical model development for quantitative landslide risk assessment was discussed in Chapter 6, aiming at establishing a robust, interpretable, and quantitatively grounded framework for Landslide Risk Assessment (LRA) by integrating physics-based numerical modeling with machine learning approaches. At the last integrating GIS-Based susceptibility mapping and machine learning framework for landslide prediction and early warning in in Baltimore County, Maryland was introduced.

Citation

Publication Date

July 31, 2025