AI for Coastal Erosion & Sea Level Impact Modeling
Predict shoreline change, inundation, and infrastructure risk using LIDAR/remote sensing and AI-enhanced hydrodynamic models.
Sea level rise and storms accelerate coastal erosion. AI can fuse DEM/LIDAR, shoreline change, waves, and surge models to forecast impacts, prioritize protection/retreat, and guide permitting. Outcomes: reduced asset loss, informed zoning, and better adaptation investment.
Natural buffers (wetlands/dunes) condition and value.
Protection/retreat options; cost-benefit and timelines.
Permit screening; setback and zoning guidance.
Wave/surge/tide feeds; climate scenarios.
Data QA: void filling, bias correction, versioning.
ML for shoreline change; hybrid with physics-based models.
Frequently asked questions
How do I combine Digital Elevation Models (DEMs), LiDAR data, wave, and surge data, and what is the baseline shoreline change used for?
Assemble DEM/LIDAR + wave/surge data; baseline shoreline change.
How can I build hybrid machine learning models combined with physics-based models, and how do I validate their accuracy?
Build hybrid ML+physics models; validate on historical events. This ensures the model's predictions are grounded in real-world data and accurately reflect past trends.
How can I generate risk maps that identify asset exposure, and what is the recommended approach for initial testing?
Deliver risk maps and asset exposure; pilot with one region. Starting with a single geographic area allows for focused refinement and validation before broader deployment.
How do I incorporate adaptation scenarios and cost-benefit analyses into the simulation process, and what other considerations are necessary?
Add adaptation scenarios and cost-benefit; integrate permitting. This involves evaluating different resilience strategies alongside their financial implications to ensure a comprehensive assessment.
▶ Try it live
Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.