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Publishing Language: Chinese

Design flood calculation of watershed with lack of data based on hydrological model

Yongtuo WU1Zhijia LI2( )Zhenya QI1Ruixuan TONG2Zijing YANG2Yingchun HUANG3
Shandong Electric Power Engineering Consulting Institute Corporation Ltd. , Jinan 250013, China
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
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Abstract

From the perspective of physical mechanism of rainfall-runoff behaviour, three small watersheds in different hydrometeorological regions were selected and the design storms were calculated based on the attenuation formula of rainstorm in this study. According to the characteristics of the underlying surface of the basin, the model parameters were deduced, and the hydrological model was constructed to realize the design flood calculation. The results of using the hydrological model to estimate design floods were compared with those of the reasoning formula method. The results show: the design flood obtained by the hydrological model method is similar to that obtained by the inference formula method, with relative errors of flood peak and flood volume not exceeding 30%; the hydrological model method takes into account the variation of soil infiltration capacity during rainfall processes and the uncertainty of the catchment process at various points within the watershed; the uneven spatiotemporal distribution of hydrological model parameters is more in line with the actual runoff generation and concentration laws of the basin, improving the reliability of design flood calculation in the complex situation.

CLC number: P338.1 Document code: A Article ID: 1000-1980(2023)06-0001-08

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Journal of Hohai University (Natural Sciences)
Pages 1-8

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Cite this article:
WU Y, LI Z, QI Z, et al. Design flood calculation of watershed with lack of data based on hydrological model. Journal of Hohai University (Natural Sciences), 2023, 51(6): 1-8. https://doi.org/10.3876/j.issn.1000-1980.2023.06.001

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Received: 12 October 2022
Published: 25 November 2023
© 2023 Journal of Hohai University (Natural Sciences)