本文關(guān)鍵詞：基于土壤物理基本參數(shù)的土壤導(dǎo)熱率模型　出處：《農(nóng)業(yè)工程學(xué)報(bào)》2016年02期 　論文類型：期刊論文

  更多相關(guān)文章： 土壤 模型 含水率 土壤物理基本參數(shù) 土壤導(dǎo)熱率模型 改進(jìn)模型

【摘要】：土壤物理基本參數(shù)是影響土壤導(dǎo)熱率的重要因素,為了獲取土壤的顆粒組成、有機(jī)質(zhì)含量與土壤導(dǎo)熱率計(jì)算模型中參數(shù)之間的關(guān)系,該文分析了陜西省9個(gè)地區(qū)的土壤質(zhì)地對(duì)土壤導(dǎo)熱率的影響,對(duì)不同土壤導(dǎo)熱率估算模型的準(zhǔn)確性進(jìn)行評(píng)價(jià),并在C?té-Konrad模型和Lu-Ren模型的基礎(chǔ)上,建立了基于土壤物理基本參數(shù)的改進(jìn)模型,結(jié)果表明:改進(jìn)的C?té-Konrad模型與改進(jìn)的Lu-Ren模型可以用來擬合不同質(zhì)地的土壤導(dǎo)熱率,且具有較好的擬合精度,決定系數(shù)R2均在0.92以上,相對(duì)誤差(relative error,Re)均低于9.6%;對(duì)于砂粒含量或粉粒含量較高的土壤導(dǎo)熱率,改進(jìn)的C?té-Konrad模型模擬結(jié)果的均方根誤差(root-mean-square error,RMSE)≤0.1183、R2≥0.9259以及Re≤9.55%,均優(yōu)于C?té-Konrad模型、Lu-Ren模型和改進(jìn)Lu-Ren模型;對(duì)于砂粒和粉粒含量均較低的土壤導(dǎo)熱率,改進(jìn)Lu-Ren模型模擬結(jié)果的RMSE≤0.0815、R2≥0.9326,Re≤8.21%,均明顯優(yōu)于其他3種模型。兩種改進(jìn)的模型分別建立了模型參數(shù)與顆粒組成、有機(jī)質(zhì)含量之間的關(guān)系,能夠更加詳細(xì)描述土壤物理基本參數(shù)與導(dǎo)熱率之間的關(guān)系,并且針對(duì)不同的土壤質(zhì)地,選取合適的改進(jìn)模型能夠更加準(zhǔn)確地計(jì)算土壤導(dǎo)熱率。
[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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