Road landslide information management and forecasting system base on GIS

Area of Science:

• Geotechnical Engineering
• Geographic Information Science
• Disaster Management

Background:

• Road geological hazards, particularly landslides, pose significant risks to infrastructure and safety.
• Effective supervision and management of these hazards are crucial for transportation networks.

Purpose of the Study:

• To develop a Road Landslides Information Management and Forecasting System (RLIMFS) utilizing Geographic Information System (GIS).
• To provide a tool for visual inquiry, assessment, and prediction of road landslides.

Main Methods:

• Integration of spatial and attribute information of road geological hazards.
• Development of a GIS-based platform incorporating mathematical prediction models.
• Application and testing of the system in Guizhou, China, a region prone to landslides.

Main Results:

• The system enables visual inquiry of road landslide information via regional road or monitoring networks.
• It facilitates the assessment and prediction of landslide development using field monitoring data and spatial analysis.
• The RLIMFS effectively assists communication managers in decision-making for landslide control.

Conclusions:

• The developed RLIMFS is a valuable tool for managing and forecasting road landslides.
• The system enhances the ability to control landslides and mitigate human vulnerability.
• GIS technology is instrumental in creating effective landslide management and forecasting systems.