Shallow Soil Landslide Identification Using DEM Topographic Factors
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Solution Overview
Problem
Current methods for early warning of shallow soil landslides are inefficient due to reliance on complex monitoring of rainfall, surface displacement, and pipeline strain, leading to low identification efficiency and affected disaster prevention.
Innovation Solution
An early identification method using topographic digital elevation model (DEM) data to calculate slope, plane curvature, and topographic factor, allowing for quantitative assessment of landslide risk based on slope angles, cross-sectional depression, and curvature characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex monitoring of rainfall, surface displacement, and pipeline strain is used for early warning, then monitoring coverage is improved, but identification efficiency deteriorates and the system becomes complicated
Solution Approach 1:
The patent extracts and focuses on the most critical topographic factors (slope, cross-sectional depression, plane curvature) from the complex monitoring system, eliminating the need to monitor rainfall, surface displacement, and pipeline strain. This extraction principle simplifies the system while maintaining effective landslide identification capability.
Solution Approach 2:
Instead of monitoring dynamic parameters (rainfall, displacement, strain) to predict landslides, the patent inverts the approach by using static topographic characteristics to identify landslide-prone areas. This inversion transforms the problem from dynamic monitoring to static analysis, significantly improving efficiency.
2Ease of manufacture
If digital topographic maps with unified DEM scale are used to calculate slopes and curvatures, then processing is simplified, but accuracy deteriorates due to scale differences in landslide masses
Solution Approach 1:
The patent applies local quality by determining the scale of each landslide mass individually and using that specific scale for calculating slopes and curvatures in that particular area. This ensures that each calculation uses the appropriate DEM resolution, maintaining high accuracy while still using digital maps for processing.
3Measurement precision
If field measurement method is used for topographic conditions, then measurement accuracy is improved, but scalability deteriorates and early warning of large-scale landslides becomes difficult
Solution Approach 1:
The patent replaces the mechanical field measurement system with a digital topographic analysis system. By using DEM data and automated calculations of topographic factors, the system maintains measurement accuracy while enabling large-scale landslide warning that was impossible with manual field methods.
Data Source
AI summary
This is an early identification method for a shallow soil landslide, belonging to the technical field of landslide prevention and control engineering. The present invention accurately determines and identifies a shallow soil landslide in a quantitative manner, improving the early identification efficiency of a landslide and helping to improve the disaster prevention effect.