| 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m3，2030年供水量分别为88 825万、46 533万、46 310万和12 100万m3，分别较原始供水量节水322.09万和432.46万m3，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。 |
| 关键词: 水资源 优化配置 模拟退火遗传算法 咸阳市 |
| DOI： |
| 分类号: |
| 基金项目: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) |
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| Optimal allocation of water resources based on simulated annealing genetic algorithm |
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HE Guohua,XIE Jiancang,WANG Ni,et al
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| Abstract: |
| 【Objective】This study described the complex relationship of water resources system and solve the difficult allocation problem using simulation method to provide basis for reasonable development and utilization of regional water resources.【Method】The optimal allocation model for water resources was established with the consideration of economic,social,ecological and environmental benefits and it was solved by adopting the simulated annealing genetic algorithm.Then,the model was used to obtain the optimal configuration of water resources in Xianyang.【Result】Based on the established model and under the condition of 50% guaranteed rate,the estimated surface water,ground water,water transfer and wastewater reuse in 2020 for Xianyang were 69 020×104 m3,53 433×104 m3,23 435×104 m3,and 7 900×104 m3 and 88 825×104 m3,46 533×104 m3,46 310×104 m3,and 12 100×104 m3 in 2030,respectively.Compared with the original water supply,the total water supply was reduced by 322.09×104 m3 and 432.46×104 m3 in 2020 and 2030.Except for agricultural water,requirements of other water users could be met.【Conclusion】The optimal allocation results of water resources by established model using simulated annealing-genetic algorithm were reasonable and feasible,and they can be regarded as decision making basis.The simulated annealing-genetic algorithm has the advantage of fast convergence and optimization,and can be used in water resources allocation. |
| Key words: water resources optimal allocation simulated annealing genetic algorithm Xianyang |
