土壤水分特征曲线模型参数的非线性传输函数研究
发布时间：2018-11-16 19:15
【摘要】：以黄土高原区土壤为研究对象,通过土壤水分特征曲线与土壤基本理化参数系列试验,获得了Van-Genuchten模型参数的实测数据样本,建立了土壤基本理化参数与Van-Genuchten模型参数之间一一对应的关系,创建了以土壤黏粒含量、粉粒含量、容重、有机质含量、全盐量为输入变量,Van-Genuchten模型参数为输出变量的非线性传输函数预报模型。研究表明:以土壤黏粒含量、粉粒含量、容重、有机质含量、全盐量为输入变量,对Van-Genuchten模型参数进行非线性预报是可行的;所建立的非线性预报模型精度较高,预测样本下Van-Genuchten模型参数α的实测值与预测值的相对误差的平均值为9.66%,参数n的实测值与预测值的相对误差的平均值为6.83%,检验样本参数α的实测值与预测值的相对误差的平均值为7.34%,参数n的实测值与预测值的相对误差的平均值为5.45%。研究成果为黄土地区提供一种便捷获取土壤水分特征曲线的途径。
[Abstract]:Taking the soil of Loess Plateau as the research object, the measured data samples of Van-Genuchten model parameters were obtained through the series experiments of soil moisture characteristic curve and basic physical and chemical parameters of soil. The one-to-one relationship between the basic physical and chemical parameters of soil and the parameters of Van-Genuchten model was established. The input variables were clay content, silt content, bulk density, organic matter content and total salt content. The Van-Genuchten model is a nonlinear transmission function prediction model with output variables. The results show that it is feasible to predict the parameters of Van-Genuchten model with clay content, silt content, bulk density, organic matter content and total salt content as input variables. The accuracy of the established nonlinear prediction model is high, and the average relative error between the measured value and the predicted value of the Van-Genuchten model parameter 伪 is 9.66. The average value of the relative error between the measured value and the predicted value of parameter n is 6.83, and the average of the relative error between the measured value and the predicted value of the test sample parameter 伪 is 7.34. The average relative error between the measured value and the predicted value of parameter n is 5.45. The research results provide a convenient way to obtain soil water characteristic curve in loess area.
【作者单位】： 太原理工大学水利科学与工程学院;
【基金】：国家自然科学基金资助项目(40671081) 山西省农田节水技术开发服务推广站项目
【分类号】：S152.7
本文编号：2336403
[Abstract]:Taking the soil of Loess Plateau as the research object, the measured data samples of Van-Genuchten model parameters were obtained through the series experiments of soil moisture characteristic curve and basic physical and chemical parameters of soil. The one-to-one relationship between the basic physical and chemical parameters of soil and the parameters of Van-Genuchten model was established. The input variables were clay content, silt content, bulk density, organic matter content and total salt content. The Van-Genuchten model is a nonlinear transmission function prediction model with output variables. The results show that it is feasible to predict the parameters of Van-Genuchten model with clay content, silt content, bulk density, organic matter content and total salt content as input variables. The accuracy of the established nonlinear prediction model is high, and the average relative error between the measured value and the predicted value of the Van-Genuchten model parameter 伪 is 9.66. The average value of the relative error between the measured value and the predicted value of parameter n is 6.83, and the average of the relative error between the measured value and the predicted value of the test sample parameter 伪 is 7.34. The average relative error between the measured value and the predicted value of parameter n is 5.45. The research results provide a convenient way to obtain soil water characteristic curve in loess area.
【作者单位】： 太原理工大学水利科学与工程学院;
【基金】：国家自然科学基金资助项目(40671081) 山西省农田节水技术开发服务推广站项目
【分类号】：S152.7
【相似文献】
相关期刊论文 前3条
1 张增强,孟昭福,张一平;对Elovich方程的再认识[J];土壤通报;2000年05期
2 石晓蕾;徐绍辉;廖凯华;;求van Genuchten模型参数的AM-MCMC方法[J];土壤;2012年02期
3 贺立源,项雅玲;农业环境中土壤取样误差研究[J];应用生态学报;1999年03期
相关硕士学位论文 前2条
1 石晓蕾;马尔科夫链蒙特卡罗法（MCMC）在van Genuchten模型参数不确定性分析中的应用[D];青岛大学;2012年
2 许一骅;领域知识引导的作物模型参数智能优化框架研究[D];南京农业大学;2015年
，本文编号：2336403
本文链接：https://www.wllwen.com/kejilunwen/nykj/2336403.html
