基于土壤物理基本参数的土壤导热率模型

发布时间：2018-01-11 06:26

  本文关键词：基于土壤物理基本参数的土壤导热率模型　出处：《农业工程学报》2016年02期 　论文类型：期刊论文

  更多相关文章： 土壤 模型 含水率 土壤物理基本参数 土壤导热率模型 改进模型

【摘要】：土壤物理基本参数是影响土壤导热率的重要因素,为了获取土壤的颗粒组成、有机质含量与土壤导热率计算模型中参数之间的关系,该文分析了陕西省9个地区的土壤质地对土壤导热率的影响,对不同土壤导热率估算模型的准确性进行评价,并在C?té-Konrad模型和Lu-Ren模型的基础上,建立了基于土壤物理基本参数的改进模型,结果表明:改进的C?té-Konrad模型与改进的Lu-Ren模型可以用来拟合不同质地的土壤导热率,且具有较好的拟合精度,决定系数R2均在0.92以上,相对误差(relative error,Re)均低于9.6%;对于砂粒含量或粉粒含量较高的土壤导热率,改进的C?té-Konrad模型模拟结果的均方根误差(root-mean-square error,RMSE)≤0.1183、R2≥0.9259以及Re≤9.55%,均优于C?té-Konrad模型、Lu-Ren模型和改进Lu-Ren模型;对于砂粒和粉粒含量均较低的土壤导热率,改进Lu-Ren模型模拟结果的RMSE≤0.0815、R2≥0.9326,Re≤8.21%,均明显优于其他3种模型。两种改进的模型分别建立了模型参数与颗粒组成、有机质含量之间的关系,能够更加详细描述土壤物理基本参数与导热率之间的关系,并且针对不同的土壤质地,选取合适的改进模型能够更加准确地计算土壤导热率。
[Abstract]:The basic parameters of soil physics are the important factors affecting the soil thermal conductivity. In order to obtain the particle composition of the soil, the relationship between the organic matter content and the parameters in the calculation model of soil thermal conductivity is discussed. This paper analyzes the influence of soil texture on soil thermal conductivity in nine regions of Shaanxi Province, and evaluates the accuracy of different soil thermal conductivity estimation models. Based on t 茅 -Konrad model and Lu-Ren model, an improved model based on the basic parameters of soil physics is established. T 茅 -Konrad model and improved Lu-Ren model can be used to fit the soil thermal conductivity of different textures, and the coefficient of determination R2 is above 0.92. The relative error is lower than 9.6; For the soil thermal conductivity with higher sand content or silt content, the improved C? The root-mean-square error (RMSE) of the simulation results of t 茅 -Konrad model is less than 0.1183. R2 鈮，

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