盐碱荒地土壤入渗参数的多元非线性预报模型  

Nonlinear Prediction Model of Infiltration Parameters of Saline-Alkali Wasteland

作　　者：程诗念 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7期144-148,共5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(2007031070)

摘　　要：为给盐碱荒地改良提供技术支撑,以原生盐碱荒地土壤为研究对象,进行了大田原位系列入渗试验,获取了累计入渗量与入渗历时对应关系的试验资料,依据Kostiakov入渗模型,构建了入渗模型参数与同步土壤理化参数的样本集。利用土壤传输函数法,建立了以土壤基本理化参数为输入变量的Kostiakov二参数入渗模型参数k和α的多元非线性预报模型。结果表明:以土壤含水率、干容重、黏粒含量、粉粒含量、有机质含量、含盐量为输入变量对入渗系数k进行多元非线性预报和以土壤含水率、干容重、黏粒含量、有机质含量、含盐量为输入变量对入渗指数α进行多元非线性预报是可行的,两参数预报模型的相对误差平均值分别为5.5%和8.3%。In order to provide technical support for the improvement of saline-alkali wasteland,series of situ infiltration experiments were carried out based on the native saline soil.The study got the test data about the corresponding relationship between the cumulative infiltration volume and the infiltration duration and obtained the parameters of Kostiakov infiltration model by fitting,and built the sample set between infiltration model parameters and basic soil physic-chemical parameters.Using the transfer function,it established the nonlinear prediction model about the infiltration parameters k and α of Kostiakov infiltration model to put the basic soil physic-chemical parameters as input variables.The results show that putting the soil moisture content,bulk density,clay content,silt content,organic matter content and salt content as input variables to predict infiltration coefficient k and putting the soil moisture content,bulkdensity,clay content,organic matter content and salt content as input variable stop predict infiltration index α are feasible,and the average of the relative error of the two parameters prediction model is 5.5% and 8.3% respectively.

关 键 词：盐碱土壤 Kostiakov入渗模型参数 土壤传输函数法 非线性预报 

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