Too little data, too much data
Groundwater projects often suffer from two opposite complaints. Some users say they have too little data. Others say they have too much data and not enough billable time to process it. Both problems often share the same cause: no system context for deciding what matters.
System context changes uncertainty
Inside a realistic groundwater system, uncertainties are not equal. Some parameters barely change the answer. Others control the result. Fast sensitivity analysis lets users discover which is which.
When not to sweat
Sometimes users feel they need much more data before they can make a decision. Sensitivity testing may reveal that the decision is stable across plausible ranges of recharge, hydraulic conductivity, or boundary assumptions. In that case, additional data may add little decision value.
When to focus hard
Other times users feel they have enough information, but sensitivity analysis shows that the prediction is highly sensitive to one poorly constrained parameter or conceptual feature. That is where field work, monitoring, calibration, or expert review should focus.
Management value
This changes data collection, remediation design, monitoring, and management. Not every uncertainty deserves equal concern. Not every dataset deserves equal effort. IGW-NET helps prioritize effort based on system response rather than intuition alone.