Basin-scale hydrological modeling for water resource authorities
Basin-scale hydrological modeling, groundwater assessment, and water availability studies that support river basin authorities in permitting, allocation, and long-term resource planning.
A basin authority's decisions — who may abstract, how much, and under what conditions — are only as sound as its picture of how much water the basin actually yields, and how that yield varies. That picture has to hold up when an applicant contests a refusal, and it has to remain valid as land use and climate shift beneath it.
We build basin-scale hydrological models that quantify water availability by sub-basin and season, supported by long-record frequency analysis where gauge data allows. The output supports permitting and allocation decisions with a stated evidence base rather than institutional precedent.
What makes this sector different
- Allocation decisions must be defensible against applicants with a commercial incentive to contest them.
- Land use change alters basin yield faster than gauge records reveal it.
- Surface and groundwater are managed separately but are physically one system.
- Long-term planning horizons require scenario analysis, not a single present-day assessment.
What we deliver
- Calibrated basin hydrological model with sub-basin water availability estimates
- Flood and low-flow frequency analysis from available gauge records
- Land use change assessment quantifying its effect on basin yield
- Scenario runs under projected land use and climate conditions
Common questions from water resource authorities
Which hydrological model do you use?
Most often SWAT for basin-scale water balance and land use scenarios, and HEC-HMS for event-based rainfall-runoff. The choice follows the question rather than habit: SWAT suits long-run yield and land use change, HEC-HMS suits design flood estimation. We state which and why in every study.
Can you quantify the effect of land use change on basin yield?
Yes. This pairs satellite-derived land cover classification across a time series with a hydrological model run under each land cover state, which isolates the yield change attributable to land use from the change attributable to rainfall variability. Doing only one of the two conflates the effects.