A Proactive Approach for Short-Term Reservoir Operations
Potential Applications of Decision Making Under Deep Uncertainty to Strengthen Forecast Informed Reservoir Operations
Expert InsightsPublished May 27, 2025
Potential Applications of Decision Making Under Deep Uncertainty to Strengthen Forecast Informed Reservoir Operations
Expert InsightsPublished May 27, 2025
In this paper, the authors examine potential applications of Decision Making Under Deep Uncertainty (DMDU) methods on Forecast Informed Reservoir Operations (FIRO) to improve water management strategies and reservoir decisionmaking. Given the potential value that could come from incorporating rainfall ensemble forecasts into reservoir operations, and the corresponding deep uncertainty of these forecasts, the authors consider how these methods can help enhance the benefits and minimize the perils of prediction. The concepts discussed are aimed at informing worldwide water management agencies of future initiatives to integrate DMDU techniques with FIRO techniques for improved reservoir operations.
Using DMDU methods for short-term operational decisionmaking is new territory for the field and pushes the limits of existing approaches to reservoir management. Greater attention and new exploration of these methodological potentials can broaden options for navigating the tradeoffs and uncertainties in reservoir operations. Developments in this area are intended to ultimately improve reservoir operator decisionmaking and water management outcomes.
This research was funded by Seqwater and conducted by the Community Health and Environmental Policy Program within RAND Social and Economic Well-Being.
This publication is part of the RAND expert insights series. The expert insights series presents perspectives on timely policy issues.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.