343-4 An Automated Microlysimeter for Long-Term Monitoring of Soil Evaporation.

Poster Number 114

See more from this Division: S01 Soil Physics
See more from this Session: Measurement and Modeling of near-Surface Soil Water and Energy Fluxes: II
Wednesday, October 19, 2011
Henry Gonzalez Convention Center, Hall C
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Wutthida Rattanapichai, Kasetsart University, Bangkok, THAILAND, Scott B. Jones, Utah State University, Logan, UT, R. William Mace, Plants, Soils, and Climate, Utah State University, Logan, UT and Markus Tuller, Dept. Soil Water and Environmental Sciences, University of Arizona, Tucson, AZ
The global process of soil evaporation is of significance for a wide array of disciplines interested in monitoring and management of soil moisture. Applications are found in agricultural, environmental, meteorological, commercial, ecological and industrial sectors spanning from point-scale to watershed-scales and beyond. The question of how to accurately monitor soil evaporation has been thoroughly studied during the past century with many methods and models being developed. None however, adequately address the needs for spatially distributed-, long-term-, in situ- and real-time-monitoring of soil evaporation. We present an automated design based on the microlysimeter concept with enhancements of 1) a 60 cm deep lysimeter which is mounted on 2) a 10 kg load cell for real-time output of water loss. The sample extraction and lysimeter installation are facilitated by a 75 mm diameter coring tool with an internal acetate sleeve to hold the soil sample. An external PVC sleeve is installed into the hole left by sample extraction, which then houses the load cell attached to the bottom of the 60 cm sample. The deeper depth extends the useful life of the lysimeter beyond the approximately 10 day limit found in 30 cm lysimeters in a previous study. Laboratory and field results demonstrate the utility of the enhanced microlysimeter design.     
See more from this Division: S01 Soil Physics
See more from this Session: Measurement and Modeling of near-Surface Soil Water and Energy Fluxes: II
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