Subsurface Topographic Modeling Using Geospatial and Data Driven Algorithm

Key Questions

1. What is depth to bedrock?

Depth to bedrock (DTB) is the distance between the ground surface and the top of the bedrock layer. It provides information on the spatial variation and topographical interface between unconsolidated sediments and the stiff bedrock layer.

2. How does gene expression programming work?

Gene expression programming (GEP) is an evolutionary algorithm that uses computer programs of different sizes and shapes encoded as linear chromosomes to solve optimization problems. It evolves these programs through processes like mutation, transposition and recombination to find optimal solutions.

3. What are the applications of subsurface bedrock modeling?

Subsurface bedrock modeling has applications in dam construction, foundation design, groundwater evaluation, natural hazard assessments, and modeling landscape evolution. It helps assess risks and optimize engineering designs.

4. How does the GEP model compare to ordinary kriging?

The GEP model achieved 82.53% accuracy compared to 74.6% for ordinary kriging, showing a 9.61% improvement. GEP provided more cost-effective and accurate predictions of depth to bedrock compared to ordinary kriging.

5. Why is accurate bedrock modeling important for dam construction?

Accurate bedrock modeling is crucial for dam construction as it impacts structural stability, foundation design, and hydrogeological properties. It helps optimize designs, reduce risks, and avoid unexpected problems during planning and construction.

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