干旱区研究

Arid Zone Research >

2022 , Vol. 39 >Issue 1: 94 - 103

DOI: https://doi.org/10.13866/j.azr.2022.01.10

Applicability assessment of two meteorological datasets in areas lacking data with the Hutubi River Basin as an example

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  • 1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, Jiangsu, China
    2. College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China

Received date: 2021-08-31

  Revised date: 2021-10-22

  Online published: 2022-01-24

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Abstract

In ungauged areas, a lack of observational data (e.g., precipitation and temperature data) can affect the accuracy of flood forecasting, which in turn affects the implementation of flood control, drought relief, and water resources planning. Therefore, it is necessary to conduct applicability analysis of existing precipitation and temperature data in ungauged areas. By applying the HBV (Hydrologiska Byråns Vattenbalansavdelning) model, including a snowmelt runoff simulation, to the area upstream of the Shimen hydrological station in the Hutubi River Basin, and based on a comparison of simulated snowmelt flood runoff and measured runoff, a dataset including gridded daily precipitation and temperature in China and observational data from meteorological stations were analyzed and compared. The applicability of the snowmelt runoff simulation was also analyzed. Results showed that the snowmelt runoff simulation was more effective when used with the hydrological model driven by grid data than with the hydrological model driven by station observation data. The Nash coefficients of the snowmelt runoff from the hydrological model driven by grid data and the hydrological model driven by station observation data were 0.792 and 0.433, respectively, within the verification period. In addition, some characteristics of the snowmelt floods in the Hutubi River Basin were analyzed and the possible causes of errors in the simulated snowmelt runoff were also assessed based on differences in driving data. These results can help improve the accuracy of snowmelt flood forecasts in areas that lack data on snowmelt characteristics.

Key words： precipitation data; ungauged area; snowmelt flood; runoff forecast; applicability assessment; Hutubi River Basin

Cite this article

SUN Mingyue,LYU Haishen,ZHU Yonghua,LIN Yu,ZHANG Meijie . Applicability assessment of two meteorological datasets in areas lacking data with the Hutubi River Basin as an example[J]. Arid Zone Research, 2022 , 39(1) : 94 -103 . DOI: 10.13866/j.azr.2022.01.10

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