Improving stewardship of soil and water resources often requires forming greater understanding of soil processes. To form such understanding, advances in techniques for measuring soil properties and processes are needed. The purpose of this research was to evaluate and improve heat pulse techniques for measuring soil water flux (Jw), soil water content (theta), and soil volumetric heat capacity (C). A new mathematical analysis was developed revealing a simple linear relationship between Jw and the natural logarithm of the ratio of the temperature increases downstream and upstream from a line heat source. In laboratory experiments the standard deviation of repeated measures of Jw was 46% lower using the new analysis procedure versus a previous more cumbersome procedure. Linear relationships (r2 \u3e 0.99) existed between Jw measured using the heat pulse technique and Jw measured at the outlet of the soil columns for Jw ranging from 0.1 to 40 cm h-1. The heat pulse sensors were found to be 25 to 75% less sensitive to Jw than predicted by the standard heat transfer model. A reduced convection model that accurately accounted for the measured data was proposed. The emerging dual-probe heatpulse (DPHP) technique for measuring theta was evaluated under field conditions. Soil water content measured by the DPHP sensors (thetaDPHP ) was on average 0.040 m3 m-3 larger than theta measured by soil sampling (thetaSS). Linear regressions of thetaDPHP versus theta SS yielded r2 values \u3e0.84 and slopes of 0.75. Errors in -SS were a possible cause of these low slopes. A simple matching point procedure was introduced which reduced the average difference between thetaDPHP and theta SS and reduced the average standard deviation of theta DPHP from 0.063 to 0.026 m3 m -3. The heat pulse technique for determining C was also evaluated under field conditions. Heat pulse sensors permitted C measurements with a frequency capable of fully describing the temporal variations in C. Heat pulse measurements of C and independent estimates agreed to within 8% on average. The results of this research indicate that heat pulse sensors are versatile tools for scientists to use in obtaining measurements of important soil properties and processes.
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机译:改善土壤和水资源的管理常常需要对土壤过程有更深入的了解。为了形成这样的理解,需要用于测量土壤性质和过程的技术的进步。这项研究的目的是评估和改进用于测量土壤水通量(Jw),土壤含水量(theta)和土壤体积热容(C)的热脉冲技术。开发了一种新的数学分析方法,揭示了Jw与线热源下游和上游温度升高比率的自然对数之间的简单线性关系。在实验室实验中,与以前较繁琐的程序相比,使用新的分析程序对Jw重复测量的标准偏差降低了46%。使用热脉冲技术测得的Jw与土壤柱出口测得的Jw之间的线性关系(r2 \ u3e 0.99),Jw范围为0.1至40 cm h-1。发现热脉冲传感器对Jw的敏感度比标准传热模型预测的敏感度低25%至75%。提出了一种对流模型,该模型可以准确地解释测量数据。在现场条件下评估了新兴的双探针热脉冲(DPHP)技术来测量theta。用DPHP传感器(thetaDPHP)测量的土壤含水量平均比通过土壤采样(thetaSS)测量的theta大0.040 m3 m-3。 thetaDPHP与theta SS的线性回归得出r2值\ u3e0.84,斜率为0.75。 -SS的错误可能是这些低斜率的原因。引入了一个简单的匹配点程序,该程序减少了theDDPHP和theta SS之间的平均差异,并将theta DPHP的平均标准偏差从0.063减少到0.026 m3 m -3。还在现场条件下评估了用于确定C的热脉冲技术。热脉冲传感器允许以能够完全描述C随时间变化的频率进行C测量。C的热脉冲测量和独立估计的平均值平均在8%以内。这项研究的结果表明,热脉冲传感器是科学家用于获取重要土壤性质和过程的测量值的多功能工具。
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