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土壤最大持水量S,饱和入渗率Ksat和吸力S_0是从模拟降雨实验中同时收集的.统计结果表明:S和Ksat是高度相关的.在S值估计中,决定系数r~2和标准差,可以通过在回归分析中增加吸力而得到进一步地改善,况且顺序的和部分的F测验表明:在预测S时,Ksat比S_0重要得多.Molokai土壤系列S的回归方程用于预测其它土壤的径流曲线值CN,其结果是令人满意的(r=0.8258和e=5.3187).
The maximum soil water content S, saturated soil infiltration rate Ksat and suction S_0 were collected simultaneously from simulated rainfall experiments. The statistical results show that S and Ksat are highly correlated. In the S value estimation, the coefficient r 2 and the standard deviation , Can be further improved by increasing the suction in the regression analysis Moreover, the sequential and partial F tests show that Ksat is significantly more important than S_0 in predicting S. The regression equation for the Molokai soil series S is used to predict the The runoff curve value CN, the result is satisfactory (r = 0.8258 and e = 5.3187).