Adaptive River Basin Management
Balance flood risk, hydropower generation and community water demand across a climate-adapted river basin.
Why this matters
Balance flood risk, hydropower generation and community water demand across a climate-adapted river basin.
This model is adapted from an internal scenario-planning tool, distilled here into three linked calculations that mirror how real operators, engineers and analysts reason about the system.
How the model works
- Annual precipitation (mm) — Flood-risk index rises with runoff coefficient and precipitation intensity across an 8,600 km² basin.
- Hydropower capacity (MW) — Annual generation potential (GWh/yr) scaled against a 1,500 GWh reference ceiling for the basin.
- Adaptation investment ($M/yr) — Community adaptation index blending investment with per-capita water security for a 920,000-strong basin population.
Reading the results
Each control drives one of three underlying formulas taken from the source engineering model. Moving a slider recomputes its metric instantly and updates the 3D bar in the simulation — taller, brighter bars mean the system is closer to its optimum operating envelope. Try pushing each parameter to its extreme to see where the model breaks down or saturates.
Frequently Asked Questions
What is adaptive river basin management used for?
Balance flood risk, hydropower generation and community water demand across a climate-adapted river basin.
Is this a real-world engineering model or a toy?
The underlying formulas are simplified versions of real planning heuristics used in this domain — accurate enough to show the right trends and trade-offs, but not a substitute for full engineering simulation software.
Can I use my own numbers?
Yes — every slider in the simulation maps directly onto one of the model's input variables, so you can explore scenarios well outside the defaults shown here.
Why does the bar height saturate at the extremes?
Each metric is normalised to a 0–1 range against a realistic reference ceiling from the source model, so very large inputs will visually cap out even though the underlying number keeps growing.