Weather and Climate

Runoff simulation in an arid area using the Xin’anjiang model coupled with snowmelt

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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: 2021-08-18

  Revised date: 2021-10-08

  Online published: 2022-03-30

Abstract

Using datasets of the daily grid-based precipitation and temperature from 2011 to 2018 in the upstream research area of Jiutiaoling hydrological station in the Xiying River Basin, we simulated the daily runoff process in the study basin. We propose a new method for the identification and correction of abnormal grid precipitation, which is based on the relationship between precipitation and runoff. Moreover, we created a combination of the snowmelt module and the three water source model of the Xin’anjiang model, then analyzed the applicability of the Xin’anjiang model coupled with the snowmelt module in the Xiying River Basin. Two evaluation criteria, deterministic coefficient and relative error, were used to evaluate the simulation results. The simulation results, after precipitation correction and considering snowmelt, were compared with those without precipitation correction or snowmelt consideration. The correction of grid precipitation data, based on the relationship between precipitation and runoff, improved the accuracy of the runoff simulation, and produced an improved simulation certainty coefficient in 75% of the years. The Xin’anjiang model with a snowmelt module produced a better simulation of the Xiying River Basin than that without a snowmelt module in 75% of the years. Additionally, the simulated certainty coefficient was above 0.6 for more than 87% of the years. This study can act as a reference for the application of the model in the Xiying River Basin.

Cite this article

ZHANG Meijie,LYU Haishen,LIU Di,ZHU Yonghua,SUN Mingyue . Runoff simulation in an arid area using the Xin’anjiang model coupled with snowmelt[J]. Arid Zone Research, 2022 , 39(2) : 379 -387 . DOI: 10.13866/j.azr.2022.02.05

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