Adaptive management of water resources based on an advanced entropy method to quantify agent information
Adaptive management of water resources based on an advanced entropy method to quantify agent information
复制标题
基于先进熵方法量化代理信息的水资源自适应管理
DOI：
10.2166/hydro.2019.007
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发表时间：
2019-05
影响因子：
2.7
通讯作者：
Tianxiao Li
中科院分区：
文献类型：
--
作者：
Kun Cheng;Shuai Wei;Qiang Fu;Wei Pei;Tianxiao Li
适应性管理是当前复杂水资源系统优化管理的重要方法。基于先进的复杂系统多智能体模型理论，采用信息熵理论对智能体状态进行跟踪和修正，并利用个体标准差对信息熵理论进行改进，实现了区域水资源适应性管理。以优化区域各因子适应性为目标，以2015年和2030年中国粮食主产区年可利用水资源总量和水资源利用效率要求为约束，对中国粮食主产区水资源进行管理。2015年引入适应性水资源管理后，相对于观测值，生活效益和经济效益分别提高了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。在2030年水资源利用效率目标下，采用适应性管理可使生活、经济和生态效益分别增加34.29%、21.14%和1.78%。研究结果表明，提出的自适应管理方法可以帮助管理者平衡各主体的利益，确定水资源管理决策的方向。
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.
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DOI：
10.5070/g31710273
发表时间：
1997-11
期刊：
--
影响因子：
--
作者：
Gene Bazan
通讯作者：
Gene Bazan
影响因子：
2.8
作者：
Amiri, Vahab;Rezaei, Mohsen;Sohrabi, Nasim
通讯作者：
Sohrabi, Nasim
影响因子：
--
作者：
SHANNON, CE
通讯作者：
SHANNON, CE
影响因子：
4.3
作者：
Hong Li;Chong-yu Xu;S. Beldring;L. Tallaksen;S. Jain
通讯作者：
Hong Li;Chong-yu Xu;S. Beldring;L. Tallaksen;S. Jain
DOI：
10.5860/choice.35-6184
发表时间：
1997-01
期刊：
Philosophica
影响因子：
--
作者：
J. Holland
通讯作者：
J. Holland