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Rival framings: A framework for discovering how problem formulation uncertainties shape risk management trade‐offs in water resources systems
Ist Teil von
Water resources research, 2017-08, Vol.53 (8), p.7208-7233
Ort / Verlag
Washington: John Wiley & Sons, Inc
Erscheinungsjahr
2017
Link zum Volltext
Quelle
Wiley Online Library
Beschreibungen/Notizen
Managing water resources systems requires coordinated operation of system infrastructure to mitigate the impacts of hydrologic extremes while balancing conflicting multisectoral demands. Traditionally, recommended management strategies are derived by optimizing system operations under a single problem framing that is assumed to accurately represent the system objectives, tacitly ignoring the myriad of effects that could arise from simplifications and mathematical assumptions made when formulating the problem. This study illustrates the benefits of a rival framings framework in which analysts instead interrogate multiple competing hypotheses of how complex water management problems should be formulated. Analyzing rival framings helps discover unintended consequences resulting from inherent biases of alternative problem formulations. We illustrate this on the monsoonal Red River basin in Vietnam by optimizing operations of the system's four largest reservoirs under several different multiobjective problem framings. In each rival framing, we specify different quantitative representations of the system's objectives related to hydropower production, agricultural water supply, and flood protection of the capital city of Hanoi. We find that some formulations result in counterintuitive behavior. In particular, policies designed to minimize expected flood damages inadvertently increase the risk of catastrophic flood events in favor of hydropower production, while min‐max objectives commonly used in robust optimization provide poor representations of system tradeoffs due to their instability. This study highlights the importance of carefully formulating and evaluating alternative mathematical ions of stakeholder objectives describing the multisectoral water demands and risks associated with hydrologic extremes.
Key Points
We advance a rival framings framework for designing and evaluating alternative water systems management policies
Testing multiple problem framings reduces the probability of formulating policies with unintended consequences
Minimizing expected flood damages may be ineffective in preventing severe flooding