Assess robustness and flexibility of Pareto optimal water supply sequences in multiple 10 year planning horizons, selecting a plan using an explicit efficiency-robustness tradeoff.

The analysis identifies optimal sequences for adding to an urban water supply for a set of scenarios with differing climate change, population and discount rates. Sensitivity analysis shows how the performance of each sequence for multiple criteria varies across the scenarios, and which uncertain variables have greater influence, to inform selection of an optimal sequence plan.

Vulnerability analysis building on decision scaling theory is used to identify changes in temperature and precipitation that would lead to flood or irrigation failures under current reservoir operations and optimal feedback control policies that increase the range of states under which minimum performance requirements are met.

Robust Decision Making (RDM) is used in the context of regional urban water management and groundwater supply management to evaluate long-term planning strategies under climate change and planning uncertainties. The application of scenario discovery using PRIM helps identify management conditions in which the different plans perform poorly and their associated risk factors.

A two-parameter flow duration curve toy model is used to answer the question "Will regular flooding of ecological assets occur?" using eight stress testing techniques.

The Lake Problem is a stylized decision problem regarding pollution control often used to demonstrate approaches for supporting decision making under uncertainty.

Planning of reservoir releases or operational rules is moving away from historical inflows and demand estimates to consider possible future climates and operation conditions, while also playing a key role in adaptation of water resource systems more generally.

Urban water resource planning involves selecting supply and demand management options for future scenarios, especially climate changes and population growth.