Adaptive water management is a promising management paradigm for rivers that addresses the uncertainty of decision consequences. However, its implementation into current practice is still a challenge. An optimization assessment can be framed within the adaptive management cycle allowing the definition of environmental flows (e-flows) in a suitable format for decision making. In this study, we demonstrate its suitability to mediate the incorporation of e-flows into diversion management planning, fostering the realization of an adaptive management approach. We used the case study of the Pas River, Northern Spain, as the setting for the optimization of surface water diversion. We considered e-flow requirements for three key river biological groups to reflect conditions that promote ecological conservation. By drawing from hydrological scenarios (i.e., dry, normal, and wet), our assessment showed that the overall target water demand can be met, whereas the daily volume of water available for diversion was not constant throughout the year. These results suggest that current the decision making needs to consider the seasonal time frame as the reference temporal scale for objectives adjustment and monitoring. The approach can be transferred to other study areas and can inform decision makers that aim to engage with all the stages of the adaptive water management cycle.

中文翻译：

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应用优化支持河流的自适应水管理

自适应水管理是河流的有希望的管理范例，可以解决决策后果的不确定性。但是，将其实施到当前实践中仍然是一个挑战。可以在自适应管理周期内构建优化评估框架，从而允许以适合决策的格式定义环境流（e流）。在这项研究中，我们证明了其适合调解将电子流纳入分流管理计划中的情况，从而促进了自适应管理方法的实现。我们以西班牙北部的帕斯河为例，对地表水的优化分配进行了研究。我们考虑了三个主要河流生物群体的电子流量要求，以反映促进生态保护的条件。通过从水文情景中得出结论（即，干燥，正常和潮湿），我们的评估表明可以满足总体目标用水需求，而全年可用于分流的每日水量并非恒定不变。这些结果表明，当前的决策需要考虑将季节性时间框架作为目标调整和监测的参考时间尺度。该方法可以转移到其他研究领域，并且可以为旨在参与适应性水管理周期所有阶段的决策者提供信息。这些结果表明，当前的决策过程需要考虑将季节性时间框架作为目标调整和监测的参考时间尺度。该方法可以转移到其他研究领域，并且可以为旨在参与适应性水管理周期所有阶段的决策者提供信息。这些结果表明，当前的决策需要考虑将季节性时间框架作为目标调整和监测的参考时间尺度。该方法可以转移到其他研究领域，并且可以为旨在参与适应性水管理周期所有阶段的决策者提供信息。