面向关中地区水网韧性提升的水库群优化调配研究
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(1.西安理工大学水利水电学院,陕西 西安 710048;2.西安理工大学电气工程学院,陕西 西安 710048;3.陕西省水利电力勘测设计研究院,陕西 西安 710001;4.河海大学水文水资源学院,江苏 南京 210098 )

作者简介:

黄生志(1988—),男,教授,博士,主要从事气象变化与风险调控研究。E-mail:huangshengzhi7788@126.com

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基金项目:

国家重点研发计划项目(2022YFC3202305);陕西省自然科学基础研究计划重点项目(2023JC-XJ-19)


Optimization and allocation of reservoir groups for enhancing the resilience of water network in Guanzhong area
Author:
Affiliation:

(1.School of Water Resources and Hydropower Engineering, Xi’an University of Technology, Xi’an 710048, China;2.School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China;3.Shaanxi Provincial Hydroelectric Survey and Design Institute, Xi’an 710001, China;4.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China)

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    摘要:

    为研究水网建设及水网优化调配技术对陕西省关中地区水资源系统韧性演变的影响,基于复杂网络理论构建了水资源系统韧性评价指标体系,分别以2020年、2035年为基准年和规划水平年,计算了水网建设前后基准年和规划水平年采用优化调配技术的水资源系统韧性;结合引汉济渭工程、东庄水库与古贤水库供水工程、关中地区主要8座大中型调蓄水库、地下水资源及非常规水源的联合调配,构建了关中地区水库群水网的优化调度模型与优化配置模型,并采用动态规划法和遗传算法对模型进行求解,分析了基准年与规划水平年水资源的供需平衡情况。结果表明:经水库群联合优化调配后,基准年关中地区除杨陵的水资源系统韧性均有所提升,整体韧性从31.11提高至32.22,提高了3.57%;规划水平年水资源系统的韧性从44.05提升至44.51,较优化调配前提高了1.04%;水网建设后水资源系统的韧性从31.11提高到44.05,提高了41.59%。

    Abstract:

    In order to study the influence of water network construction and water network optimization and allocation technology on the evolution of water resources system resilience in Guanzhong area of Shaanxi Province,an evaluation index system for water resources system resilience was constructed based on the complex network theory. The water resources system resilience before and after the construction of the water network in the base year and planning year of 2020 and 2035 is calculated by using the optimized allocation technology. Optimized dispatch model and optimized configuration model of the water network of the Guanzhong reservoir group were constructed combining with the Hanjiang-to-Weihe River Water Diversion Project, the Dongzhuang and Guxian reservoir water supply projects, eight major medium-to-large-scale regulating reservoirs in Guanzhong area, groundwater resources, and unconventional water sources. The model is solved by dynamic programming and genetic algorithm,and the balance between water supply and demand in the base year and planning year is analyzed. The results show that after the joint optimization and allocation of the reservoir group, the water resources system resilience in Guanzhong area has been improved except for Yangling, with the overall resilience improving from 31.11 to 32.22, an increase of 3.57%; the resilience of the water resources system in the planning year is increased from 44.05 to 44.51, a 1.04% improvement compared to the pre-optimization allocation scenario; the resilience of the water resources system increased from 31.11 to 44.05, an increase 41.59%, after the construction of the water network.

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黄生志,闫俊,郭怿,等.面向关中地区水网韧性提升的水库群优化调配研究[J].水资源保护,2025,41(5):258-267.(HUANG Shengzhi, YAN Jun, GUO Yi, et al. Optimization and allocation of reservoir groups for enhancing the resilience of water network in Guanzhong area[J]. Water Resources Protection,2025,41(5):258-267.(in Chinese))

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  • 在线发布日期: 2025-09-21
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