Hydrological parameters are scale dependent. Efficient monitoring techniques capable of measuring hydrological parameters, such as soil moisture content (θ), over a wide range of spatial scales are essential for understanding the complexity of water and energy movement across the landscape. Techniques to measure θ over spatial scales in the range from centimeters to thousands of meters, however, are sorely lacking. Recent improvements in the distributed temperature sensing (DTS) technology supported the development of novel techniques to fill that gap. However, improvements in the accuracy and applicability of DTS techniques are still needed. This study investigates the possibility of improving the accuracy of the fiber optics dual‐probe heat‐pulse (FO‐DPHP) DTS technique by using a new design to maintain the spacing between the FO‐DPHP probes and by introducing a novel data interpretation approach. The accuracy of the novel FO‐DPHP design was tested at different θ in a sand column experiment. The FO‐DPHP measurements obtained using traditional and novel data interpretation approaches were compared against independent measurements from several calibrated soil water content (EC5) sensors. Monte‐Carlo analyses were also performed to assess the impact of DTS measurement errors on the accuracy achieved using the data interpretation approaches. The novel design and data interpretation approach allowed for accurate measurements of soil thermal properties and θ without the need to perform a hard‐to‐achieve soil‐specific calibration. Measured θ had mean errors and standard deviations <0.03 and <0.01 m³ m⁻³, respectively, for moisture conditions ranging from dry to near saturation. The standard deviation in the measured heat capacity was <0.01 MJ m⁻³ K⁻¹.

中文翻译：

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使用新型加热光纤方法高分辨率测量土壤热性质和水分

水文参数取决于规模。能够在广泛的空间范围内测量水文参数（例如土壤水分含量（θ））的高效监控技术 对于理解水和能源在整个景观中流动的复杂性至关重要。θ测量技术但是，非常缺乏从几厘米到几千米的空间尺度。分布式温度感测（DTS）技术的最新改进支持填补这一空白的新技术的发展。但是，仍然需要提高DTS技术的准确性和适用性。这项研究探讨了通过使用新的设计来保持FO-DPHP探针之间的间距并引入一种新颖的数据解释方法来提高光纤双探针热脉冲（FO-DPHP）DTS技术的准确性的可能性。新型FO‐DPHP设计的精度在不同的θ下进行了测试在沙柱实验中 使用传统和新颖的数据解释方法获得的FO-DPHP测量值与来自几个校准的土壤含水量（EC5）传感器的独立测量值进行了比较。还进行了蒙特卡洛分析，以评估DTS测量误差对使用数据解释方法获得的准确性的影响。新颖的设计和数据解释方法无需进行难以实现的土壤特定校准即可准确测量土壤的热性质和θ。测得的θ具有平均误差和标准偏差<0.03和<0.01 m ³  m ^-3分别适用于从干燥到接近饱和的湿度条件。测得的热容的标准偏差为<0.01 MJ m ^-3  K ^-1。