Thermal conductivity is an essential parameter in heat transfer models including soil‐water systems. Herein, an Internet of Things (IoT) tool and a computational method are advanced for vertically resolving in situ thermal conductivity values in soil‐groundwater systems. A demonstrative application of this approach at a former petroleum refinery is presented. A line heat source is co‐located with a vertical string of in situ temperature sensors. Five‐minute multiple level temperature data were collected before, during, and after a 100‐min long heating period. Vertically distributed temperature data are transformed into vertically discretized thermal conductivity values using an analytical solution. Results fall in the range of thermal conductivity values reported in the literature. Specifically, estimated thermal conductivity values from 0.3 to 7.3 m below ground surface range between 0.7 and 5.4 (W/m/C) with the highest values occurring in media with greater water content. Overall, the advanced method in this study provides a pragmatic approach for vertically resolving subsurface thermal conductivity values applicable for many scientific disciplines.

中文翻译：

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估算地下介质导热系数的方法

在包括土壤-水系统在内的传热模型中，导热系数是必不可少的参数。本文提出了一种物联网（IoT）工具和一种计算方法，用于垂直解析土壤-地下水系统中的原位热导率值。本文介绍了这种方法在以前的炼油厂的示范应用。管线热源与垂直位置的原位温度传感器位于同一位置。在加热100分钟之前，之中和之后，收集了五分钟的多级温度数据。使用分析解决方案将垂直分布的温度数据转换为垂直离散的热导率值。结果落在文献报道的热导率值范围内。具体来说，估算的导热系数值为0.3到7。低于地面3 m的范围介于0.7和5.4（W / m / C）之间，最高值出现在含水量更大的介质中。总的来说，这项研究中的先进方法为垂直解析地下热导率值提供了一种实用的方法，适用于许多科学领域。