基于分布式水文水动力耦合模型的秦淮河流域洪水模拟
作者:
作者单位:

(河海大学水文水资源学院,江苏 南京210098 )

作者简介:

王雨洁(1999—),女,硕士研究生,主要从事水文预报研究。E-mail:yvjiewang@foxmail.com

中图分类号:

TV122+.2

基金项目:

江苏省水利科技项目(2022002);国家自然科学基金项目(52079035)


Flood simulation in the Qinhuai River Basin based on a coupled distributed hydrological and hydrodynamic model
Author:
Affiliation:

(College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China )

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    摘要:

    为更准确地模拟秦淮河流域洪水演进情况,采用松散耦合方法,结合水文、水动力过程,构建了分布式水文模型与一维、二维水动力耦合模型,该模型在上游采用网格新安江模型,下游则结合一维与二维水动力模型模拟复杂水流动态,在河道采用一维模型,在主要城区采用二维模型进行模拟,形成全流域的分布式水文水动力耦合模型。验证结果表明:该模型能够有效模拟2015—2020年间的5场洪水,模拟结果的平均纳什效率系数达0.932,验证了模型的高精度与可靠性。以20200713号洪水为例模拟了下游南京市城区的淹没情况,发现秦淮河下游城区多处区域(如郑淮路、凤凰东街、武定门闸区域等)存在显著淹没风险,最大淹没水深均超过0.5 m。

    Abstract:

    To more accurately simulate flood propagation in the Qinhuai River Basin, a loose coupling approach was employed to integrate hydrological processes with one-dimensional (1D) and two-dimensional (2D) hydrodynamic processes. A coupled distributed hydrological-hydrodynamic model was developed by combining the grid-Xin’anjiang model for upstream hydrological simulation with 1D and 2D hydrodynamic models to simulate downstream flow dynamics. Specifically, a 1D model was applied to river channels, while a 2D model was utilized to simulate flood inundation in complex urban environments. This study proposes a comprehensive distributed hydrological-hydrodynamic coupling model that effectively represents the entire basin’s behavior. The results demonstrate that the model effectively simulates five flood events from 2015 to 2020, achieving an average Nash-Sutcliffe Efficiency Coefficient of 0.932, indicating high accuracy and reliability. As a case study, the 20200713 flood event was analyzed, revealing critical flood risks in areas such as Zhenghuai Road, Fenghuang East Street, and the Wudingmen Sluice area with maximum inundation depths exceeding 0.5 meters.

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王雨洁,李致家,姚成,等.基于分布式水文水动力耦合模型的秦淮河流域洪水模拟[J].河海大学学报(自然科学版),2025,53(2):11-18, 114.(WANG Yujie, LI Zhijia, YAO Cheng, et al. Flood simulation in the Qinhuai River Basin based on a coupled distributed hydrological and hydrodynamic model[J]. Journal of Hohai University (Natural Sciences),2025,53(2):11-18, 114.(in Chinese))

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历史
  • 收稿日期:2024-05-17
  • 在线发布日期: 2025-03-26