基于GWAS模型的武安市水资源优化配置
作者:
作者单位:

(1.河北工程大学河北省智慧水利重点实验室,河北 邯郸 056038;2.河海大学水文水资源与水利工程科学 国家重点实验室,江苏 南京 210098;3.河海大学水安全与水科学协同创新中心,江苏 南京 211100;4.邯郸市水资源管理中心,河北 邯郸 056005)

作者简介:

栾清华(1978—),女,教授,博士,主要从事水文学及水资源研究。E-mail:carol97011202@163.com 通信作者:何立新(1966—),男,教授,博士,主要从事水文水资源、水环境生态和农业水利研究。E-mail:helixin@hebeu.edu.cn

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中图分类号:

TV213.4

基金项目:

国家自然科学基金(51879066)


Optimal allocation of water resources in Wu'an City based on GWAS model
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Affiliation:

(1.Hebei Province Key Laboratory of Wisdom Water Conservancy, Hebei University of Engineering, Handan 056038, China;2.State Key Laboratory of Hydrology and Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;3.Cooperative Innovation Center for Water Safety and Hydro Science, Hohai University, Nanjing 211100, China;4.Handan Water Resources Management Center, Handan 056005, China)

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    摘要:

    为缓解河北武安市水资源供需不平衡的突出矛盾,立足水资源精细化管理的需求,构建了武安市GWAS(general water allocation and simulation )模型,并开展规划年(2025年与2030年)不同情景下武安市各乡镇水资源优化配置研究。结果表明:2025年和2030年,平水情景(P=50%)下模型优化配置水量基本可以满足各乡镇水量需求,枯水情景(P=75%)下各乡镇存在不同程度的缺水情况;全市普遍农业缺水,2025年平枯情景农业缺水率分别为6.45%和44.11%,2030年平枯情景农业缺水率分别为5.05%和42.47%;优化后的供水结构改善效果显著,地下水供水量占比在各规划年平枯情景下均有所下降。

    Abstract:

    To alleviate the prominent contradiction between water resource supply and demand imbalance of water resources in Wu'an City, Hebei Province, based on the demand for refined water resource management, a regional GWAS (general water allocation and simulation) model of Wu'an was constructed, and the optimal allocation of water resources in various townships of Wu'an City under different scenarios in the planning years (2025 and 2030) was carried out. The results show that in 2025 and 2030, the optimized allocation of water in the model can basically meet the water demand of various townships in the city in the normal scenario (P=50%), while in the dry scenario (P=75%), there are varying degrees of water shortages in each town. There is a widespread agricultural water shortage in the whole city. In 2025, the agricultural water shortage rates in the normal and dry scenarios are 6.45% and 44.11%, respectively, and which are 5.05% and 42.47%, respectively, in 2030. The optimized water supply structure has significantly improved, and the proportion of groundwater supply has decreased in all planning years under normal and dry scenarios.

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栾清华,高昊悦,刘红亮,等.基于GWAS模型的武安市水资源优化配置[J].水资源保护,2023,39(3):32-42.(LUAN Qinghua, GAO Haoyue, LIU Hongliang, et al. Optimal allocation of water resources in Wu'an City based on GWAS model[J]. Water Resources Protection,2023,39(3):32-42.(in Chinese))

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  • 收稿日期:2022-05-04
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  • 在线发布日期: 2023-05-30
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