Soil Moisture Measurements: Comparison of Instrumentation Performances |
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Authors: | Ventura Francesca Facini Osvaldo Piana Stefano Rossi Pisa Paola |
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Affiliation: | 1Assistant Professor, Dept. of Agroenvironmental Science and Technology, Univ. of Bologna, v. Fanin 44, 40137 Bologna, Italy (corresponding author). E-mail: fventura@agrsci.unibo.it 2Researcher, National Research Council, Institute of Biometeorolgy, v. Gobetti 101, 40129 Bologna, Italy. E-mail: o.facini@ibimet.cnr.it 3Technician, Dept. of Agroenvironmental Science and Technology, Univ. of Bologna, v. Fanin 44, 40137 Bologna, Italy. E-mail: spiana@agrsci.unibo.it 4Full Professor, Dept. of Agroenvironmental Science and Technology, Univ. of Bologna, v. Fanin 44, 40137 Bologna, Italy. E-mail: ppisa@agrsci.unibo.it
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Abstract: | It has long been recognized that reliable, robust, and automated instrumentation for the measurement of soil moisture content can be extremely useful, if not essential, in hydrological, environmental, and agricultural applications. A number of automated techniques for point measurement of soil water content have been developed to operational level over the past few decades. While each of those techniques has been individually calibrated by the gravimetric method, typically under laboratory conditions, there have been few studies that made a direct comparison between the various techniques, particularly under field conditions. This paper compares ECH2O probes, EC-5 (both sensors based on capacitance measurements, developed by Decagon Devices) and time domain reflectometer sensors (CS616 Campbell Scientific Water Content Reflectometer), with gravimetric data and with each other, under field conditions. Data were collected during two field experiments characterized by different soils and a wide range of soil moistures, resulting from irrigation/drying cycle. Results show that all the tested probes give acceptable results after being calibrated in the field. The capacitive sensors can be used in each type of soil with the same calibration equation, independently from depth, with root mean square error (RMSE) ranging between 2.5 and 3.6%. Time Domain Reflectometry probes showed a dependence on depth but a lower RMSE (1.6%). |
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Keywords: | Soil water Measurements Calibration Comparative studies Instrumentation |
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