摘要
针对灌区地表水地下水联合利用优化配置问题,将Python版本的MODFLOW模型FolPy和多目标优化框架Pymoo中的多目标遗传算法NSGA-Ⅲ进行紧密耦合,综合考虑经济、环境的协调发展,构建一个灌区水资源多目标模拟优化模型,并设计了一个假想算例进行灌区水资源多目标优化配置,考虑经济、产量和地下水位下降三个目标进行求解,以验证模拟优化模型的有效性和可靠性。研究结果表明,基于FloPy和Pymoo可以构建紧密耦合的水资源模拟优化模型,能够同时处理三个目标函数之间的复杂关系,并获得倾向于不同目标的多个水资源配置方案,便于决策者根据当地实际情况进行决策,为灌区水资源的可持续高效安全利用提供了强有力的技术手段。
Focusing on the optimal conjunctive allocation of surface water and groundwater utilization in the irrigation district,the Python version MODFLOW model-FolPy and the multi-objective optimization framework Pymoo’s multi-objective genetic algorithm NSGA-Ⅲare closely coupled,and the coordinated development of economy and environment is comprehensively considered to construct an multi-objective water resources simulation and optimization model.A hypothetical example considering three objectives which are economy,production and groundwater level drop is designed to verify the validity and reliability of the simulation optimization model.The research results show that based on FloPy and Pymoo,a tightly coupled water resources simulation optimization model can be constructed,which can handle the complex relationship between the three objective functions at the same time,and obtain multiple water resources allocation schemes that tend to different goals,which is convenient for decision makers.Making decisions based on actual local conditions provides powerful technical means for the sustainable,efficient and safe use of water resources in irrigation district.
作者
康燕楠
降亚楠
苏振辉
KANG Yannan;JIANG Yanan;SU Zhenhui(College of Water Resources and Architectural Engineering,Northwest A&F University,Yangling,Shaanxi 712100,China;Key Laboratory of Agriculture Soil and Water Engineering in Arid and Semiarid of Ministry of Education,Northwest A&F University,Yangling,Shaanxi 712100,China)
出处
《水利与建筑工程学报》
2021年第3期17-23,共7页
Journal of Water Resources and Architectural Engineering
基金
国家重点研发计划(2016YFC0400305
2016YFC0401306)
国家自然科学基金项目(51409219)。
