在西营河九条岭站以上流域内,利用2011—2018年格点降水和气温数据集的逐日资料,通过降水径流成因关系探索出格点降水异常点修正方法,并将融雪模块与三水源新安江模型耦合,研究流域日径流模拟过程。采用确定性系数和相对误差两个评估准则进行模拟效果的评价,将降水修正后以及融雪耦合后的模拟效果与未改进的模型模拟效果进行比较,分析融雪模块耦合后的新安江模型在西营河流域的适用性。结果表明：参照降水径流成因关系进行的格点降水修正提高了径流模拟的精度,75%的年份模拟径流的确定性系数有所提高。耦合融雪的新安江模型在研究区模拟较好,75%以上年份的模拟比未改进时模拟效果好,87%以上年份的模拟确定性系数达0.6以上。耦合融雪的新安江模型为西营河流域融雪径流的预报预警提供决策参考。

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.