土壤水分入渗参数的非线性预报模型  

Nonlinear Prediction Model of Soil water Infiltration Parameter

作　　者：郭华[1] 樊贵盛[1] 

机构地区：[1]太原理工大学水利科学与工程学院,太原030024

出　　处：《灌溉排水学报》2016年第10期78-82,共5页Journal of Irrigation and Drainage

基　　金：国家自然科学基金项目(40671081);山西省科技攻关项目(20100311124);文峪河水库高效调度运行方案研究(2010-2012)

摘　　要：以山西地区黄土高原区土壤为研究对象,通过实施大量大田耕作土壤水分入渗试验,获取了Kostiakov二参数入渗模型参数的实测大样本,建立了各个土壤水分入渗参数与土壤理化参数间的非线性关系模型;通过MATLAB软件,实现了Kostiakov入渗模型系数的求解。结果表明,常规土壤理化参数土壤含水率、体积质量、粉粒、砂粒和有机质质量分数作为非线性预报模型的输入参数是合理的,所建立的非线性关系模型高度相关,预测参数的实测值与预测值的相对误差可控制在8%以下。因此,用土壤常规理化参数对土壤水分入渗参数进行非线性预报是可行的。The soil of the Loess Plateau in Shanxi province was used as the research object, through lots of field tillage soil infiltration tests, a large measured sample of Kostiakov model was obtained to establish the nonlinear relationship model between each infiltration parameter and soil physicochemical parameters, and the Kostiakov model was solved by MATLAB software. The results showed that： it was reasonable to use soil water content, soil bulk density, soil silt content, soil sand content and soil organic matter content as input parameters, and the nonlinear relationship model was highly correlated. The relative errors between the measured value and the predicted value could be controlled below 8%. Thus, using soil conventional physicochemical parameters to predict nonlinear soil water infiltration parameter is feasible.

关 键 词：土壤转换函数 大田耕作土壤 Kostiakov模型参数 多元非线性 水分入渗 

分 类 号：S152.7[农业科学—土壤学] TV93[农业科学—农业基础科学]