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首页> 外文期刊>Journal of Hydroinformatics >Adaptive management of water resources based on an advanced entropy method to quantify agent information
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Adaptive management of water resources based on an advanced entropy method to quantify agent information

机译：基于高级熵方法的水资源自适应管理量化主体信息

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摘要

Adaptive management is currently an important method to optimize the management of complex water resources systems. Regional water resources adaptive management was conducted based on the advanced theory of a complex system multi-agent model; the state of an agent was tracked and modified by information entropy theory, which was improved by using individual standard deviations. With the goal of optimizing the adaptation of each agent of the region, water resources in the major grain production area of China were managed under the constraints of the total annual available water resources and water use efficiency requirements for 2015 and 2030. By introducing the adaptive water resources management in 2015, the domestic benefits and economic benefits increased by 2.90% and 14.81%, respectively, with respect to observed values. The ecological benefits declined by 3.63%, but ecological water demand was fully satisfied, and the ecological water environment was improved. Given the water use efficiency targets in 2030, applying adaptive management resulted in an increase of domestic, economic, and ecological benefits of 34.29%, 21.14%, and 1.78%, respectively. The results show that the adaptive management method presented can help managers to balance the benefits of various agents to determine the direction of water resources management decisions.
机译：自适应管理是当前优化复杂水资源系统管理的重要方法。基于复杂系统多主体模型的高级理论进行了区域水资源适应性管理。信息熵理论跟踪并修改了代理的状态，并通过使用单个标准偏差对其进行了改进。为了优化该区域各主体的适应性，在2015年和2030年的年度可用水资源总量和用水效率要求的约束下，对中国主要粮食生产地区的水资源进行了管理。在水资源管理方面，2015年的国内收益和经济收益分别比观察值增加了2.90％和14.81％。生态效益下降3.63％，但生态需水得到充分满足，生态水环境得到改善。考虑到2030年的用水效率目标，实施适应性管理将使家庭，经济和生态效益分别增加34.29％，21.14％和1.78％。结果表明，提出的自适应管理方法可以帮助管理者平衡各种主体的利益，从而确定水资源管理决策的方向。

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