新安江海河模型参数物理意义分析及应用
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(1.河海大学水文水资源学院,江苏 南京210098;2.南京信息工程大学水文与水资源工程学院,江苏 南京210044;3.河北省水文勘测研究中心, 河北 石家庄050031 )

作者简介:

李巧玲(1982—),女,副教授,博士,主要从事水文物理规律模拟与水文预报研究。E-mail: liqiaolinghhu@hhu.edu.cn

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基金项目:

国家自然科学基金项目(52079035);河北省水利厅科技项目(2022-40)


Physical interpretation parameters of Xin’anjiang-Haihe model and its application
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(1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;2.School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210044, China;3.Hebei Hydrological Survey and Research Center, Shijiazhuang 050031, China )

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    摘要:

    为明确新安江-海河模型参数的物理意义,提高其模拟精度,以海河黄壁庄水库以上区间流域为研究区构建了新安江-海河模型,基于流域下垫面特征及地下水开采情况、水利设施等人类活动影响因素定性分析了新安江-海河模型参数的物理意义,明晰了参数在产汇流过程中的作用,提出了基于下渗公式和水量平衡法的流域渗漏量计算公式,并确定了模型参数。结果表明:地表拦蓄水库库容可认为是水利设施等人类活动对于地面径流的储存量;地下拦蓄水库库容受地下水超采等因素影响,可认为是场次洪水降雨结束后的流域平均缺水量;渗漏系数是洪水过程在坡地汇流阶段,渗漏量与流域产流量的比值。基于确定的参数进行洪水模拟,并与原新安江模型模拟结果进行对比,发现微水流域的洪水径流深合格率提高了42.9%,洪峰流量合格率提高了28.6%;平山流域的洪水径流深合格率提高了33.4%,洪峰流量合格率提高了33.3%。

    Abstract:

    To explore the physical meaning of model parameters in Xin’anjiang-Haihe model and improve the simulation accuracy, by taking a part of Haihe River Basin above the Huangbizhuang reservoir as an example, the Xin’anjiang-Haihe model was established. The physical meaning of model parameters was qualitatively analyzed based on factors such as land surface characteristics, groundwater extraction, and water management facilities to clarify their roles in the runoff generation and flow concentration processes. Formulas for calculating the basin leakage based on the infiltration equation and water balance method were proposed to determine related model parameters. Subsequently, the model with calibrated parameters was used to conduct the flood simulation. The analysis revealed that the surface storage capacity of reservoirs could be considered as the storage capacity for surface runoff, while the subsurface storage capacity, influenced by factors such as groundwater over-extraction, represented the average water deficit in the basin after a storm event. The leakage coefficient represented the ratio between the leakage and the basin runoff during the flow concentration process. The simulation results of the model showed that compared with the original Xin’anjiang model, the proposed method improved the qualification rate of flood runoff depth increased by 42.9% and the qualification rate of peak discharge increased by 28.6% in Weishui basin, and by 33.4% for flood runoff depth and 33.3% for peak discharge in Pingshan basin.

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李巧玲,李旻喆,李致家,等.新安江海河模型参数物理意义分析及应用[J].河海大学学报(自然科学版),2025,53(1):1-9.(LI Qiaoling, LI Minzhe, LI Zhijia, et al. Physical interpretation parameters of Xin’anjiang-Haihe model and its application[J]. Journal of Hohai University (Natural Sciences),2025,53(1):1-9.(in Chinese))

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  • 收稿日期:2024-03-31
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  • 在线发布日期: 2025-01-22
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