基于蓄满超渗时空动态组合的网格新安江模型

Grid-Xin’anjiang model based on spatio-temporal dynamic combination of saturation-excess and infiltration-excess runoff

为使网格新安江(Grid-XAJ)模型更好地应用于半干旱半湿润地区洪水模拟及预报,通过降雨和土壤含水量动态产流因子之间的判定关系,动态识别产流过程中网格的主导产流模式,构建基于蓄满超渗时空动态组合的网格新安江模型(Grid-XAJ-SIDE),并以半干旱的绥德流域为研究区域,将Grid-XAJ-SIDE模型与Grid-XAJ模型和网格格林-安普特模型(Grid-GA)进行对比验证。结果表明:3个模型径流深模拟结果都较好,合格率均在80.0%以上;Grid-XAJ-SIDE模型的洪峰合格率(66.7%)比Grid-XAJ模型(53.0%)和Grid-GA模型(40.0%)有明显提升;Grid-XAJ-SIDE模型能更好地考虑降雨、土壤含水量对产流时空分布的影响。

In order to improve the applicability of Grid-Xin’anjiang model(Grid-XAJ)in flood simulation and forecasting of the semi-arid and semi-humid areas, the dominant runoff generation mechanism of the basin grid in the process of runoff generation was dynamically identified by determining the relationship between rainfall and soil moisture in this study. The Grid-Xin’anjiang and saturation-infiltration double excess distributed model(Grid-XAJ-SIDE)was constructed based on the dynamic combination of saturation-excess and infiltration-excess runoff. The semi-arid Suide Watershed was selected for comparing the simulation results of the Grid-XAJ-SIDE, the Grid-XAJ and the Grid-GA models. The results show that the qualified rate of runoff simulation of the three models in the Suide watershed are all above 80.0%. Compared with the Grid-XAJ(53.0%)and Grid-GA(40.0%)models, the Grid-XAJ-SIDE(66.7%)model has a higher qualified rate for the flood peak simulation. Meanwhile, the Grid-XAJ-SIDE model can capture the control effects of rainfall and soil water content on the spatio-temporal distribution of runoff generation.