资源环境科技发展态势分析平台

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.