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Automatic, real‐time monitoring of soil moisture in a remote field area with time domain reflectometry
Author(s) -
Herkelrath W. N.,
Hamburg S. P.,
Murphy Fred
Publication year - 1991
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/91wr00311
Subject(s) - water content , reflectometry , soil science , environmental science , soil water , moisture , time domain , hydrology (agriculture) , calibration , standard deviation , remote sensing , data logger , geology , geotechnical engineering , meteorology , geography , mathematics , computer science , computer vision , statistics , operating system
A multiplexing time domain reflectoinetry (TDR) system for real‐time monitoring of volumetric soil moisture content was developed. The system was tested at a remote field site in the Hubbard Brook Experimental Forest in New Hampshire. The average value of soil moisture content in the top 500 mm of soil was measured every 4 hours for 1 year at 12 locations within a 12‐ by 18‐m plot. The system functioned well except when the air temperature dropped below −15°C, which caused the data logger tape recorder to stop. Calibrations run on undisturbed soil cores did not compare well with published curves developed for mineral soils, probably because of high soil organic matter content. The standard error of estimate of soil moisture content, indicated by the calibrations, was 0.02 cm 3 /cm 3 . The standard deviation of repeated moisture content measurements made in the field was 0.003 cm 3 /cm 3 . The effect of cable length on the TDR signal was investigated. It was found that long cables tend to attenuate the signal, ultimately making the measurement impractical. However, cable length had little effect on the calibration up to a length of 27 m. The coefficient of variation of the moisture content measurements taken at any given time ranged from 0.12 to 0.21 during the test period. As predicted by a stochastic analysis of soil moisture flow in heterogeneous soil, the spatial variability of the measurements decreased as average soil moisture increased.