备耕头水地土壤水分入渗参数非线性预报模型  

Nonlinear Prediction Model of Head Plowing 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,山西太原030024

出　　处：《人民黄河》2017年第4期140-144,148,共6页Yellow River

基　　金：国家自然科学基金资助项目(40671081);山西省科技攻关项目(20100311124)

摘　　要：以山西黄土高原区备耕头水地水分入渗试验为依据,考虑灌水过程中表层土壤结构的变形特性,建立了Kostiakov三参数累计入渗量模型参数与土壤理化参数间的非线性关系模型。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、沙粒含量和有机质含量)作为备耕头水地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可靠,土壤入渗参数预测值相对误差可控制在10%以内;考虑到灌水过程中表层土壤结构由疏松变密实,对表层土壤结构进行修正能更加真实地反映备耕土壤水分的入渗过程,更加精准地对入渗模型的参数作出预报。Using the plowing soil of Shanxi Province in the Loess Plateau as the research object,considering the influence of plowing soilmoisture infiltration experimental under different textures having on soil structure,the nonlinear relationship between infiltration parametersand conventional physicochemical parameters of soil was established by MATLAB software. The results show that：it is reasonable to use soilwater content,soil bulk density,soil silt content,soil sand content and soil organic matter content as input parameters of nonlinear predictionmodel,and the non-linear relationship model is highly correlated. The relative errors between the measured value and the predicted value ofprediction parameters can be controlled within 10%;taking into account the structure of the surface soil becoming dense during irrigation,thesurface soil structure is corrected. Prediction model can truly reflect the plowing of soil water infiltration process and can accurately forecastinfiltration parameters.

关 键 词：备耕头水地 Kostiakov三参数入渗模型 多元非线性 水分入渗参数 表层土壤 

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