A novel frequency-domain integrated sensor for in-situ estimating unsaturated soil hydraulic conductivity

• Published in: Journal of hydrology (Amsterdam) Vol. 610; p. 127939
• Main Authors: Xu, Qiang, Zhu, Yufan, Xiang, Yang, Yu, Song, Wang, Zhongyi, Yan, Xiaofei, Du, Taisheng, Cheng, Qiang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2022
• Subjects: In-situ estimation; Integrated sensor; Richards’ equation; Unsaturated soil hydraulic conductivity; van Genuchten and Campbell models; In-situ estimation; Richards’ equation; van Genuchten and Campbell models; Integrated sensor; Unsaturated soil hydraulic conductivity
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2022.127939

•Design a new integrated sensor to measure soil water potentials and water content.•The new sensor is low cost and reduces sensor-to-sensor uncertainties.•The novel sensor is combined with Richards’ equation to in-situ estimate Ku.•In-situ estimated Ku are validated by calculations from two soil hydraulic models.•The combined method using the sensor and Richards’ equation was applied in field. Unsaturated soil hydraulic conductivity (Ku) plays a significant role in agricultural, hydrological and ecological applications. However, the existing measurement technologies are failed to consecutively measure soil hydraulic conductivity in-situ, high cost or destructive to soil structure. Here we designed a novel frequency-domain integrated sensor that is combined with Richards’ equation to in-situ estimate Ku. The novel sensor has three perforated cylinder coaxial (PCC-1, PCC-2, PCC-3) probes and a stainless steel pin to measure soil water potentials at up (PCC-1), middle (PCC-2) and bottom (PCC-3) layers and soil water content at middle layer, respectively. After sensor calibration, drying experiments were conducted with sandy loam and clay loam. The Richards’ equation was used to in-situ estimate dynamics of Ku combining finite difference method with measurements of the novel sensor under certain assumptions, and thus neither additional parameters nor boundary condition was required. In order to assess the accuracy of the in-situ estimated Ku, the actual Ku were determined in laboratory using van Genuchten and Campbell hydraulic models as references. Then, a field experiment was conducted at an experimental farm to test the performance of the novel integrated sensor. The results showed that the in-situ estimated Ku in unsaturated range had a good agreement with the model calculated Ku in laboratory. The RMSEs (in log10) were 0.707 cm h−1 (van Genuchten) and 0.426 cm h−1 (Campbell) for sandy loam and 0.749 cm h−1 (van Genuchten) and 0.587 cm h−1 (Campbell) for clay loam. In near-saturated range, the in-situ estimated Ku were somewhat underestimated in comparison with the model calculated Ku. This may attribute to the limitation of accuracy of soil water potential sensor (TEROS 21) used for calibration, the insensitivity of drying method to the estimation of Ku or the effect of structural macropores or discontinuity of soil intrinsic hydraulic characteristics in near-saturated range. The overall trend of in-situ estimated Ku in the field is similar to that in laboratory. The consistent between the in-situ estimated and model calculated Ku in laboratory verified the availability and feasibility of the novel integrated sensor and the estimation of Ku in the field was achieved. In addition, the novel integrated sensor is low cost and reduces sensor-to-sensor uncertainties when multiple sensors were used, which has distinct advantages and potential application under field conditions.