Learning about climate change uncertainty enables flexible water infrastructure planning

Area of Science:

• Environmental science
• Climate change adaptation
• Water resource management

Background:

• Water resource planning faces uncertainty in long-term climate projections.
• Infrastructure projects like dams have long lifespans, coinciding with evolving climate data.
• Current planning models do not account for future learning and uncertainty reduction.

Purpose of the Study:

• To develop a novel planning framework for water resource infrastructure.
• To evaluate flexible versus static planning strategies under climate uncertainty.
• To incorporate the potential for learning about regional climate change over time.

Main Methods:

• Development of a new planning framework integrating future learning.
• Assessment of flexible infrastructure design for adaptability.
• Demonstration on a reservoir planning case study in Mombasa, Kenya.

Main Results:

• The framework identifies opportunities for incremental and adaptive investments.
• Flexible strategies can meet water supply needs without over-building.
• The approach enables adaptation investments to reach more vulnerable populations.

Conclusions:

• Flexible planning frameworks are crucial for managing long-term water resource uncertainty.
• Integrating learning into planning allows for more efficient and equitable resource allocation.
• This approach enhances climate change adaptation for vulnerable communities.