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APPARENT THERMAL DIFFUSIVITY OF SOIL DETERMINED BY ANALYSIS OF DIURNAL TEMPERATURES (FOURIER SERIES, NONLINEAR REGRESSION).

机译:通过日温度分析(傅立叶级数,非线性回归)确定土壤的表观热扩散率。

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摘要

A method of indirect measurement of the apparent thermal diffusivity of soil, in situ, was developed, tested, and evaluated. The method was based on an analysis of diurnal variations in soil temperature measured at several depths near the surface of an undisturbed mineral soil (a silty clay loam), near Baton Rouge, Louisiana. A thermocouple insertion technique was developed and implemented to precisely locate the sensors in undisturbed soil, thereby reducing experimental error in soil temperature measurement.;The results of the nonlinear regression method were compared with three simpler methods which used daily maximum and minimum soil temperature data as input. The nonlinear regression method, which used hourly values of soil temperature, was substantially more precise. The results from the nonlinear regression method also agreed fairly well with the estimated range of thermal diffusivity predicted by the De Vries (1963) method. Overall, the method was easy to perform experimentally, required somewhat complex computation, and yielded precise results.;The apparent thermal diffusivity was determined from an implicit relationship derived from transient one dimensional heat conduction theory. Nonlinear regression analysis was used to select the estimate of apparent thermal diffusivity as a function of observed soil temperature profiles. The regression model included a Fourier series representation of the upper boundary condition. Increasing the number of harmonics in the series beyond one did not have a significant effect on the estimate of apparent thermal diffusivity. Exclusion of observations of temperature near the surface affected the estimate of apparent thermal diffusivity, which could be an indication of nonhomogeneous soil properties. Further evidence of nonhomogeneity on some days was detected by noting that the residuals from the regression, varied sinusoidally in time (with a 24 h period) at one or more depths. Best results were obtained when nearly periodic temperatures were observed, during a succession of sunny, rain-free days.
机译:开发,测试和评估了一种间接测量土壤表观热扩散率的方法。该方法基于对路易斯安那州巴吞鲁日附近未受干扰的矿物土壤(粉质粘土壤土)表面几个深度处测得的土壤温度的日变化的分析。开发并实施了热电偶插入技术,以将传感器精确定位在未受扰动的土壤中,从而减少了土壤温度测量中的实验误差。;将非线性回归方法的结果与三种简单方法进行了比较,该方法使用了每日最高和最低土壤温度数据作为输入。使用每小时土壤温度值的非线性回归方法要精确得多。非线性回归方法的结果也与De Vries(1963)方法预测的热扩散率估计范围非常吻合。总体而言,该方法易于进行实验,需要进行一些复杂的计算,并且产生精确的结果。;表观热扩散率是根据瞬态一维热传导理论得出的隐式关系确定的。非线性回归分析被用来选择视在热扩散率的估计值作为观察到的土壤温度曲线的函数。回归模型包括上边界条件的傅立叶级数表示。将系列中的谐波数增加到一个以上对表观热扩散率的估计没有显着影响。排除地表附近温度的观测值影响了表观热扩散率的估计,这可能表明土壤性质不均匀。通过注意到回归中的残差在一个或多个深度上随时间(以24小时为周期)呈正弦变化而检测到了某些天非均匀性的进一步证据。在连续的晴天,无雨天期间,观察到接近周期性的温度,可获得最佳结果。

著录项

  • 作者

    COSTELLO, THOMAS ANTHONY.;

  • 作者单位

    Louisiana State University and Agricultural & Mechanical College.;

  • 授予单位 Louisiana State University and Agricultural & Mechanical College.;
  • 学科 Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 1986
  • 页码 207 p.
  • 总页数 207
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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