Property-Level
Water & Flood Risk
Combining 2m Digital Terrain Models with 1-in-100-year rainfall simulations to deliver flood risk intelligence at individual property level — for insurers, lenders and government agencies.
Water Risk Capabilities
Five integrated components delivering comprehensive water and flood risk intelligence at property resolution.
Flood Risk Mapping
Property-level flood risk derived from 2m Digital Terrain Models combined with 1-in-100-year rainfall simulation across South Africa.
- Flow Direction layers
- Drainage Network mapping
- Maximum Depth rasters
- Flood Risk zone classification
Water Surge Modelling
Dam discharge scenario modelling to assess downstream flood risk from infrastructure failure or controlled releases.
- Dam discharge scenarios
- Downstream impact corridors
- Asset exposure assessment
- Risk zone delineation
Rainfall Analysis
Extreme Value Theory applied to 4–11km daily historical rainfall datasets to derive statistically robust return period estimates.
- Extreme Value Theory (EVT)
- 4–11km daily historical data
- Return period calculations
- 1-in-10 to 1-in-200 year events
Future Climate Projections
Downscaled CMIP6 climate model projections at 25km resolution with customisable Shared Socioeconomic Pathway (SSP) scenarios.
- CMIP6 downscaled to 25km
- SSP5-8.5 and custom pathways
- Mid-century and end-century horizons
- Uncertainty quantification
Micro-Landslide Assessment
Slope section analysis and aspect point mapping to predict landslide susceptibility on a property-by-property basis.
- Slope section analysis
- Aspect point mapping
- Directional predictions
- Before/after property comparisons
Science-Backed Methodology
Our water risk models are built on the highest resolution elevation data available for South Africa — a 2m Digital Terrain Model that captures micro-topographic features critical to accurate flood delineation.
Rainfall inputs are derived through Extreme Value Theory applied to decades of historical daily gauge data, calibrated at 4–11km resolution. This statistical rigour ensures return period estimates are defensible for insurance pricing and lending decisions.
Future climate projections leverage the latest CMIP6 global climate model ensemble, downscaled to 25km resolution to preserve South African regional patterns. Multiple SSP scenarios allow users to stress-test portfolios under different warming trajectories.
Who Uses Water Risk Data?
Insurers
Flood risk scoring for residential and commercial property underwriting at individual property level.
Banks & Lenders
Portfolio flood exposure assessment and climate risk disclosure for lending books.
Government
Flood plain management, infrastructure planning and disaster risk reduction strategies.
Engineers & Planners
Site feasibility, development constraints and stormwater infrastructure design.
Water Risk in Practice
Advanced Flood Modelling
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Vaal Dam Water Surge Scenario
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Extreme Rainfall & Forward-Looking Climate Scenarios
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Integrate water risk into your workflows
API access and bulk data delivery available. Talk to our team about your specific use case.