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为研究新安江模型河网消退系数C_s与下垫面之间的关系,以皖南山区29个中小流域为研究对象,首先采用SCE-UA算法率定河网消退系数C_s值;其次利用DEM资料提取各流域内的10个下垫面因子特征值;最后通过逐步回归分析、通径分析探讨C_s与各流域下垫面特征的综合关系。研究结果表明,下垫面因子中,流域平均高差和流域面积对C_s产生直接影响,而流域平均坡度表现为间接影响;采用逐步回归分析方法计算得到的C_s值与模型率定得到的C_s值相比,精度较高,具有统计意义,且不依赖于实测资料,可为模型在无资料地区推广应用提供依据。
In order to study the relationship between the regression coefficient C_s of the Xin’anjiang model and the underlying surface, 29 small and medium watersheds in the mountain area of southern Anhui were selected as the research objects. The SCE-UA algorithm was used to calibrate the C_s value of the river network regression coefficient. Secondly, In the end, through the stepwise regression analysis and the path analysis, the comprehensive relationship between C_s and the characteristics of the underlying surface of each basin was discussed. The results showed that among the underlying surface factors, the mean height difference and catchment area had a direct impact on C_s, while the average gradient of the catchment showed an indirect effect. The C_s value calculated by stepwise regression analysis and the C_s value Compared with the high accuracy, with statistical significance, and does not depend on the measured data, which can provide a basis for the model to promote the use of non-data areas.