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流域暴雨洪涝预测模型比较分析

周琦 江春波 刘昭伟

水力发电学报2026,Vol.45Issue(9):14-26,13.
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水力发电学报2026,Vol.45Issue(9):14-26,13.DOI:10.11660/slfdxb.20260902

流域暴雨洪涝预测模型比较分析

Comparison and analysis of watershed rainstorm and flood prediction models

周琦 1江春波 1刘昭伟2

作者信息

  • 1. 清华大学 水利水电工程系,北京 100084||清华大学 水圈科学与水利工程全国重点实验室,北京 100084
  • 2. 清华大学 水利水电工程系,北京 100084||清华大学 水圈科学与水利工程全国重点实验室,北京 100084||清华四川能源互联网研究院,成都 610213
  • 折叠

摘要

Abstract

A flood prediction model is usually an integration of a hydrologic module,a one-dimensional(1D)module,a two-dimensional(2D)hydrodynamic module,and others for surface water flow simulation.This paper compares the related models updated in the domestic and international literature,and develops a dynamic two-way coupling of hydrologic and 2D hydrodynamic models(DBCM and DCM2D),to achieve its performances-such as computational efficiency and accuracy-higher than the previous models.DBCM divides the watershed into non-inundation and inundation zones,spatially nonoverlapping,with the former calculated on coarse grids for hydrologic modeling,while the latter on fine grids for 2D hydrodynamic modeling.These two sets of zones are joined and coupled through movable interfaces,by applying the conservation rules of water volume and momentum.DBCM overcomes the deficiencies of the previous models that couple the two sets but breaking the conservation rules,and thus achieves better accuracy.DCM2D is an expanded DBCM by adding a 1D hydrodynamic module,and therefore achieves an internally bidirectional coupling of the distributed hydrologic module and the 1D and 2D hydrodynamic modules.These new models are aimed to better describe the real flood process while considering both computational accuracy and efficiency.

关键词

流域洪涝预测/DCM2D/DBCM/双向耦合/精度与效率

Key words

watershed flood prediction/DCM2D/DBCM/two-way coupling/computational accuracy and efficiency

分类

建筑与水利

引用本文复制引用

周琦,江春波,刘昭伟..流域暴雨洪涝预测模型比较分析[J].水力发电学报,2026,45(9):14-26,13.

基金项目

京津冀环境综合治理国家科技重大专项项目(2025ZD1202102) (2025ZD1202102)

国家自然科学基金面上项目(52179068) (52179068)

清华四川能源互联网研究院有组织科研项目(35130240067) (35130240067)

水力发电学报

1003-1243

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