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以黄淮海平原封丘地区的潮土和风沙土为研究对象,根据大量的土壤基本物理性质和土壤持水数据,利用多元逐步回归分析方法,建立了轻质土壤在不同基质势下土壤含水量(θ)的传递函数模型,并进行了模型验证。结果表明,利用轻质土壤的基本物理性质估计其水分特征曲线是一种简便可行的方法,并且,在回归方程中,增加-30kPa含水量项可提高-30kPa以上土壤含水量的估计精度;增加-1500kPa含水量项可以明显提高-100kPa至-1500kPa间土壤含水量的估计精度。
Based on a large amount of soil physical properties and soil water retention data, a multi-step regression analysis method was used to establish the soil moisture content of light soil under different matrix potentials (θ) transfer function model, and the model validation. The results showed that using the basic physical properties of light soil to estimate its water characteristic curve was a simple and feasible method. And in the regression equation, increasing the water content of -30 kPa could improve the estimation accuracy of soil water content above -30 kPa, The water content of -1500 kPa can significantly improve the estimation accuracy of soil moisture content between -100 kPa and -1500 kPa.