基于模拟退火遗传算法的水资源优化配置研究

发布时间：2017-12-28 01:02

本文关键词：基于模拟退火遗传算法的水资源优化配置研究　出处：《西北农林科技大学学报(自然科学版)》2016年06期 　论文类型：期刊论文

【摘要】：【目的】通过模拟模型描述水资源系统的复杂关系,解决水资源配置难题,为区域水资源合理开发利用提供决策依据。【方法】建立以经济、社会、生态环境综合效益为最优的水资源优化配置模型,并采用模拟退火遗传算法对模型进行求解,最后以咸阳市为例进行水资源优化配置。【结果】基于所建立的水资源优化配置模型对咸阳市的水资源进行优化配置,在50%保证率情况下,咸阳市2020年地表水、地下水、外调水、中水的供水量分别为69 020万、53 433万、23 435万和7 900万m~3,2030年供水量分别为88 825万、46 533万、46 310万和12 100万m~3,分别较原始供水量节水322.09万和432.46万m~3,除农业用水稍有欠缺外,其他用水户的用水要求均可以得到满足。【结论】基于模拟退火遗传算法的水资源优化配置模型配水结果合理可行,可以作为研究区水资源配置的决策依据。模拟退火遗传算法收敛速度快,寻优能力强,可以应用于水资源优化配置领域。
[Abstract]:[Objective] to describe the complex relationship between water resources system and solve the problem of water resources allocation through simulation models, and to provide decision-making basis for the rational development and utilization of regional water resources. [method] the optimal allocation model of water resources is established based on the comprehensive benefits of the economic, social and ecological environment. The simulated annealing genetic algorithm is applied to solve the model. Finally, taking Xianyang as an example, the optimal allocation of water resources is carried out. [results] the city of Xianyang, the optimal allocation of water resources optimal allocation of water resources based on the model, when the guarantee rate is 50% under the condition of water supply in Xianyang city in 2020, surface water and groundwater, water transfer, water was 690 million 200 thousand, 534 million 330 thousand, 234 million 350 thousand and 79 million m~ 32030 annual water supply were 888 million 250 thousand, 465 million 330 thousand, respectively. 463 million 100 thousand and 121 million m~3, respectively, compared with the original water supply water by 3 million 220 thousand and 900 and 4 million 324 thousand and 600 m~3, in addition to agricultural water is slightly lacking, other water using requirements can be met. [Conclusion] the water allocation optimization model based on simulated annealing genetic algorithm is reasonable and feasible, and it can be used as a decision-making basis for water resources allocation in the study area. The simulated annealing genetic algorithm has fast convergence speed and strong optimization ability, and can be applied to the field of optimal allocation of water resources.
【作者单位】：西安理工大学水利水电学院;黄河水利委员会西峰水文水资源勘测局;
【基金】：国家自然科学基金项目(51479160;51209170) 陕西省水利科技计划项目(2013SLKJ-05)
【分类号】：TV213.4
【正文快照】： 近年来,随着经济发展和人民生活水平的提高,我国用水总量不断增加,水资源供需矛盾进一步加剧,水资源状况整体向不利的方向演变。水资源与能源、环境并列成为影响我国经济社会可持续发展的三大制约因素[1]。为了缓解用水短缺给我国带来的发展压力,越来越多的专家学者开始致力于

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