土壤水分特征曲线Gardner模型参数预报研究
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摘要
为实现基于土壤基本理化参数的土壤水分特征曲线预测,以黄土高原地区农田土壤为研究对象,进行土壤水分特征曲线的系列试验,并配套测定了土壤基本理化参数,获取了Gardner模型参数与土壤基本理化参数间一一对应关系的数据样本。在分析研究各土壤理化参数与Gardner模型参数间单因素关系的基础上,创建了以土壤黏粒含量、粉粒含量、干密度、有机质含量为输入变量的水分特征曲线Gardner模型参数多元非线性预报模型。结果表明:以土壤黏粒含量、粉粒含量、干密度、有机质含量为输入因子,对Gardner模型参数进行预测是可行的,建模样本的拟合相对误差平均值小于11%,用检验样本进行预测的相对误差平均值小于10%,预测精度较高。
In order to predict the soil moisture characteristics based on the soil basic physical and chemical parameters, based on the study of farmland soil in the Loess Plateau area, the soil moisture characteristic curve series experiment was carried out, and the basic physical and chemical parameters were measured. The data samples of Gardner model parameters and soil basic physical and chemical parameters were obtained. Based on the analysis of the single factor influence and relationship between the soil physical and chemical parameters and the Gardner model parameters, a multi parameter nonlinear prediction model of soil moisture characteristic curve Gardner model with soil clay content, silt content, bulk density and organic matter content as input variables was established. The results show that it is feasible to predict the parameters of Gardner model with soil clay content, powder content, bulk density and organic matter content as the input factor. The relative error between the predicted value and the measured value is 11% or less, the average relative error of the test sample is 10% or less and the prediction accuracy is better. The research results can provide theoretical and technical support for the convenient acquisition of soil moisture characteristics curve.
In order to predict the soil moisture characteristics based on the soil basic physical and chemical parameters, based on the study of farmland soil in the Loess Plateau area, the soil moisture characteristic curve series experiment was carried out, and the basic physical and chemical parameters were measured. The data samples of Gardner model parameters and soil basic physical and chemical parameters were obtained. Based on the analysis of the single factor influence and relationship between the soil physical and chemical parameters and the Gardner model parameters, a multi parameter nonlinear prediction model of soil moisture characteristic curve Gardner model with soil clay content, silt content, bulk density and organic matter content as input variables was established. The results show that it is feasible to predict the parameters of Gardner model with soil clay content, powder content, bulk density and organic matter content as the input factor. The relative error between the predicted value and the measured value is 11% or less, the average relative error of the test sample is 10% or less and the prediction accuracy is better. The research results can provide theoretical and technical support for the convenient acquisition of soil moisture characteristics curve.
引文
[1]雷志栋,杨诗秀,谢传森.土壤水动力学[M].北京:清华大学出版社,1988:17-22.
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[3]VEREECKEN H J,MAES J,FEYEN J,et al.Estimating the Soil Moisture Retention Characteristic From Texture,Bulk Density and Carbon Content[J].Soil Science,1989,148(6):389-403.
[4]韩勇鸿,樊贵盛,孔令超.田间持水率土壤传输函数研究[J].农业机械学报,2013,44(9):62-67.
[5]李晓鹏,张佳宝,吉丽青,等.土壤传递函数在计算土壤饱和导水率中的应用[J].灌溉排水学报,2009,28(2):70-73.
[6]宋孝玉,李亚娟,李怀有,等.土壤水分特征曲线单一参数模型的建立及应用[J].农业工程学报,2008,24(12):12-15.
[7]肖恩邦,孙保平,陈串,等.陕北黄土区人工刺槐林地土壤水势特征[J].水土保持学报,2017,31(3):129-133.
[8]杜红普,刘波,王华军,等.基于土水特征曲线预测多孔介质毛细上升过程[J].工程地质学报,2013,21(3):345-350.
[9]伍海兵,方海兰,彭红玲,等.典型新建绿地上海辰山植物园的土壤物理性质分析[J].水土保持学报,2012,26(6):85-90.
[10]GARDNER W R,HILLEL D,BENYAMINI Y.Post-Irrigation Movement of Soil Water:I.Redistribution[J].Water Resources Research,1970,6(3):851-861.
[11]GARDNER W R,HILLEL D,BENYAMINI Y.Post-Irrigation Movement of Soil Water:P.Simulations Redistribution and Evaporation[J].Water Resources Rrsearch,1970,6(4):1114-1153.
[2]朱安宁,张佳宝,陈效民,等.封丘地区土壤传递函数的研究[J].土壤学报,2003,40(1):53-58.
[3]VEREECKEN H J,MAES J,FEYEN J,et al.Estimating the Soil Moisture Retention Characteristic From Texture,Bulk Density and Carbon Content[J].Soil Science,1989,148(6):389-403.
[4]韩勇鸿,樊贵盛,孔令超.田间持水率土壤传输函数研究[J].农业机械学报,2013,44(9):62-67.
[5]李晓鹏,张佳宝,吉丽青,等.土壤传递函数在计算土壤饱和导水率中的应用[J].灌溉排水学报,2009,28(2):70-73.
[6]宋孝玉,李亚娟,李怀有,等.土壤水分特征曲线单一参数模型的建立及应用[J].农业工程学报,2008,24(12):12-15.
[7]肖恩邦,孙保平,陈串,等.陕北黄土区人工刺槐林地土壤水势特征[J].水土保持学报,2017,31(3):129-133.
[8]杜红普,刘波,王华军,等.基于土水特征曲线预测多孔介质毛细上升过程[J].工程地质学报,2013,21(3):345-350.
[9]伍海兵,方海兰,彭红玲,等.典型新建绿地上海辰山植物园的土壤物理性质分析[J].水土保持学报,2012,26(6):85-90.
[10]GARDNER W R,HILLEL D,BENYAMINI Y.Post-Irrigation Movement of Soil Water:I.Redistribution[J].Water Resources Research,1970,6(3):851-861.
[11]GARDNER W R,HILLEL D,BENYAMINI Y.Post-Irrigation Movement of Soil Water:P.Simulations Redistribution and Evaporation[J].Water Resources Rrsearch,1970,6(4):1114-1153.