A TDR array probe for monitoring near-surface soil moisture distribution

Wenyi Sheng, Rong Zhou, Morteza Sadeghi, Ebrahim Babaeian, David A. Robinson, Markus Tuller, Scott B. Jones

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Near-surface soil conditions (i.e., moisture and temperature) moderate mass and energy exchange at the soil–atmosphere interface. While remote sensing offers an effective means for mapping near-surface moisture content across large areas, in situ measurements, targeting those specific remotely sensed soil depths, are poorly understood and high-resolution near-surface measurement capabilities are lacking. Time domain reflectometry (TDR) is a well-established, accurate measurement method for soil dielectric permittivity and moisture content. A TDR array was designed to provide centimeter-resolution measurements of near-surface soil moisture. The array consists of nine stainless steel TDR rods spaced 1 cm apart, acting as waveguide pairs to form eight two-rod TDR probes in series. A critical aspect of the design was matching the spacing of the coaxial cable–TDR rod transition to avoid unwanted reflections in the waveforms. The accuracy of the TDR array permittivity measurement (±1 permittivity unit) was similar to that of conventional TDR as verified in dielectric liquids. Electric field numerical simulations showed minimal influence of adjacent rods during a given rod-pair measurement. The evaporation rate determined by the TDR array compared well with mass balance data in a laboratory test. Near-surface soil moisture profile dynamics were monitored at centimeter-depth resolution using the TDR array in a field experiment where volumetric moisture content estimates (0–8 cm) were within 2% of conventional three-rod TDR probes averaging across 0 to 8 cm and from 1- to 3-cm depths.

Original languageEnglish (US)
JournalVadose Zone Journal
Volume16
Issue number4
DOIs
StatePublished - Apr 2017
Externally publishedYes

Bibliographical note

Funding Information:
This project was funded by the National Science Foundation (NSF) Grant no. 1521469 awarded to Utah State University and the University of Arizona. Additional support was provided by the National Natural Science Foundation of China (NSFC) Grant no. 31401295 and by the Utah Agricultural Experiment Station, Utah State University, Logan, approved as UAES Journal Paper no. 8940. The China Scholarship Council (Grant no. 201404910296) provided financial support for Wenyi Sheng as a postdoctoral fellow at Utah State University. We would like to acknowledge Dr. Norman Wagner at the Institute of Material Research and Testing (MFPA) for his assistance with the HFSS simulation.

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