摘要
为了研究在小样本、贫信息条件下,包括土壤密度、体积含水量、黏粒和有机质含量在内的土壤理化参数与土壤入渗特性之间的关系,以方山县土壤入渗试验为背景,选用两参数Kostiakov入渗模型,通过对入渗参数k、α物理意义的分析,运用灰色关联理论,对土壤理化参数中各参数与土壤入渗参数的关联度大小进行了灰色排序,结果表明对于入渗参数k、α而言,与其关联程度由大到小均为土壤密度>黏粒含量>土壤含水量>有机质含量。并在此基础上建立了入渗参数k、α的GM(0,5)灰色预测模型,通过对预测值与实测值间的误差分析,表明其预测精度可以满足要求,由此所建立的土壤入渗参数灰色预测模型可行。
In order to study the relationship between soil physical parameters, including soil bulk density, soil moisture content, clay and soil organic matter content, and the soil infiltration characteristics under the condition of small sample, poor information, a soil infiltration experiments in Fangshan county is conducted. The Two Parameter Kostiakov infiltration model is chosen, the physical meaning of infiltration parameters k and a is analyzed, and gray sorting of the correlation degree between the soil physical parameters and the soil infiltration parameters is conducted on the basis of the theory of gray correlation. The results show that for the infiltration parameters k and a, the sequence for the soil physical parameters according to the correlation degree from big to small is the soil bulk density, clay content, soil moisture content, organic matter content. Then the gray prediction model GM （0, 5） for infiltration parameters including k and a is established, the analysis of the error between the predicted values and the measured values shows that the prediction accuracy can meet the requirements and the established gray prediction model for soil infiltration parameters is feasible.
出处
《节水灌溉》
北大核心
2015年第11期64-67,共4页
Water Saving Irrigation
基金
国家自然科学基金项目(40671081)
山西省科技攻关项目(20100311124)
