2014
DOI: 10.1002/2014wr015338
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Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty

Abstract: While optimality is a foundational mathematical concept in water resources planning and management, ''optimal'' solutions may be vulnerable to failure if deeply uncertain future conditions deviate from those assumed during optimization. These vulnerabilities may produce severely asymmetric impacts across a region, making it vital to evaluate the robustness of management strategies as well as their impacts for regional stakeholders. In this study, we contribute a multistakeholder many-objective robust decision … Show more

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Cited by 195 publications
(148 citation statements)
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References 73 publications
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“…Collins et al, 2012;Ning et al, 2012). As a result, one usually finds that the uncertainty in the final predicted impacts is also quite large and that a wide range of possible outcomes is feasible, which is of little practical use for decision-making or for identifying an "optimal" management solution (Bankes, 2002;Wilby and Dessai, 2010;Hallegatte et al, 2012;Herman et al, 2014). To reduce the range of possible outcomes, a smaller subset of the many possible potential future scenarios can be selected.…”
Section: Introductionmentioning
confidence: 99%
“…Collins et al, 2012;Ning et al, 2012). As a result, one usually finds that the uncertainty in the final predicted impacts is also quite large and that a wide range of possible outcomes is feasible, which is of little practical use for decision-making or for identifying an "optimal" management solution (Bankes, 2002;Wilby and Dessai, 2010;Hallegatte et al, 2012;Herman et al, 2014). To reduce the range of possible outcomes, a smaller subset of the many possible potential future scenarios can be selected.…”
Section: Introductionmentioning
confidence: 99%
“…The land is mostly classified as Bel secano,^which is defined by its low productivity, high susceptibility to erosion, and low carrying capacity for livestock. Most of the households in these communities do not have access to surface water for irrigation (Hearne and Donoso 2014). In consequence, the economic return is highly variable and strongly dependent on rainfall and ground water, forcing the farmers to rely on fast-cash rain-fed crops such as wheat.…”
Section: Agricultural Communities In the Semi-desert Regions Of Chilementioning
confidence: 99%
“…Prospect theory (PT) introduces important aspects from cognitive psychology into more Btraditional^econometric models, including considerations of risk perception and risk attitude, which cause it to deviate from standard expected utility approaches (Wakker 2010). It describes in mathematical terms how people make decisions, not just by choosing among alternative options that involve probabilistic events but also by assuming that people make behavioral choices that are biased by the context, social or physical, to avoid losses or to seek gains (Hastie and Dawes 2010). The theory has been used to understand human decisions in multiple arenas to represent uncertain and ambiguous alternatives, such as international relationships (Goldgeier and Tetlock 2001), financial risk management (Fiegenbaum 1990), and insurance markets (Sydnor 2010), and it has been applied recently to problems related to natural resource management in variable environments (PodestĂĄ et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…It considers that future condition represents a wide range of plausible states. The Boptimal^solution under one state would be suboptimal if the state changes (Bankes 2002;Herman et al 2014). Hence, RDM discusses the decision performance in a vast state of future scenarios and chooses a performance as a robust decision to face the future uncertainty (Steinschneider and Brown 2012;Herman et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The Boptimal^solution under one state would be suboptimal if the state changes (Bankes 2002;Herman et al 2014). Hence, RDM discusses the decision performance in a vast state of future scenarios and chooses a performance as a robust decision to face the future uncertainty (Steinschneider and Brown 2012;Herman et al 2014). Groves and Lempert (2007) identified key scenarios which are most important to the decision makers and found such cases with statistical analysis to generate a robust long-term water planning in California.…”
Section: Introductionmentioning
confidence: 99%