Adaptive Allocation Modeling for a Complex System of Regional Water and Land Resources Based on Information Entropy and its Application

Adaptive Allocation Modeling for a Complex System of Regional Water and Land Resources Based on Information Entropy and its Application
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基于信息熵的区域水土资源复杂系统自适应配置模型及其应用

DOI:
10.1007/s11269-015-1099-3
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发表时间:
2015-11-01
影响因子:
4.3
通讯作者:
Zhao, Ke
Zhao, Ke
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Cheng, Kun;Fu, Qiang;Zhao, Ke

文献摘要

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目前,在复杂的水土资源系统优化配置中,将水土资源作为单独的资源来处理,这可能会对水土资源系统产生负面影响。运用复杂适应系统理论,建立了区域水土资源复杂系统的适应性配置模型。将水土资源的使用者视为适应主体,将各主体对水土资源的竞争与协同作为模型演化的驱动力。采用嵌套遗传算法对模型进行精确求解,实现区域水土资源联合优化配置。以黑龙江省佳木斯市为例进行了实例研究,结果表明,模型的演化与自适应智能体的实际行为是一致的。优化配置结果实施后,研究区的经济效益有望提高3.34%,水资源综合用户满意度指数从0.61提高到0.73,生态部门的生态足迹提高了5.6%。研究结果为实现区域水土资源的可持续利用提供了重要指导。
Currently, water and land resources are treated as separate resources in allocation optimization for complex systems of water and land resources, which may have negative impacts on these water-land resource systems. In our study, an adaptive allocation model was established for a complex system of regional water and land resources using complex adaptive systems theory. The users of water and land resources were treated as adaptive agents, and the competition and synergy among various agents toward water and land resources were used as the driving forces for the evolution of the model. The model was accurately solved using a nested genetic algorithm to achieve the optimal joint allocation of regional water and land resources. A case study was conducted in the city of Kiamusze in Heilongjiang Province, and the results indicated that the evolution of the model was consistent with the actual behaviors of adaptive agents. Moreover, after the implementation of the optimized allocation results, the economic benefits in the study area were expected to increase by 3.34 %, and the comprehensive user satisfaction index regarding water increased from 0.61 to 0.73; moreover, the ecological footprint of the ecological sector increased by 5.6 %. Our results provide important guidance for achieving the sustainable use of regional water and land resources.