考虑土壤结构变形的Kostiakov入渗模型参数非线性预报模型

Kostiakov-Lewis Parameter Nonlinear Prediction Model Considering Soil Structure Deformation

以山西黄土高原区头水地及以后各次灌水的土地为研究对象,通过实施大量大田耕作土壤水分入渗试验,获取了Kostiakov三参数累积入渗量模型的实测大样本,考虑每个生产周期第一次灌水过程中表层土壤结构的变形特性,建立了Kostiakov三参数累积入渗量模型的参数与土壤理化参数间的非线性关系函数。研究表明,常规土壤理化参数土壤含水率、密度、黏粒含量、粉粒含量和有机质作为土壤入渗参数非线性预报模型的输入变量是合理的,所建立的非线性关系模型高度相关,土壤入渗参数的实测值与预测值的相对误差可控制在9%以下;考虑到第一次灌水过程中表层土壤结构的变形特性,对表层土壤结构进行修正,更加真实地反映土壤结构对入渗参数的影响,并为各灌水时期提供科学合理的节水依据。

Using the plowing soil and each sub-irrigation land of Shanxi Province in the Loess Plateau as the research object, through the implementation of a large number of field tillage soil infiltration test, a large measured sample of Kostiakov-Lewis model was ob- tained. Taking into account the deformation characteristics of soil structure during the first irrigation in each production Cycle, the nonlinear relationship of Kostiakov-Lewis model between infiltration parameters and conventional physicochemical parameters of soil was established. The study results showed that： It was reasonable to use soil water content, bulk density, clay content, silt content and organic matter content as input parameters of nonlinear prediction model, and the non-linear relationship model was highly correlated. The relative errors of the measured value and the predicted value of prediction parameters could be controlled below 9%; taking into account the deformation characteristics of soil structure during the first irrigation, the surface soil structure was corrected. It could be more truly reflect the effects of soil structure on infiltration parameters and provided a scientific and rational water-saving basis for each irrigation period.