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Published in Vadose Zone Journal 2:595-601 (2003)
© 2003 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA


SPECIAL SECTION - ADVANCES IN MEASUREMENT AND MONITORING METHODS

Quantifying Ephemeral Streambed Infiltration from Downhole Temperature Measurements Collected Before and After Streamflow

Charles E. Dowman, Va, Ty P.A. Ferré*,c, John P. Hoffmannb, Dale F. Ruckerc and James B. Callegaryc

a USGS, Water Resources Discipline, 520 North Park Ave. Ste. 221, Tucson, AZ 85719 and University of Arizona, Department of Hydrology and Water Resources, 1133 E. North Campus Dr. Bldg. 11, Tucson, AZ 85721
b USGS, Water Resources Discipline, 520 North Park Ave., Ste. 221, Tucson, AZ 85719
c University of Arizona, Department of Hydrology and Water Resources, 1133 E. North Campus Dr. Bldg. 11, Tucson, AZ 85721

Correspondence: * Corresponding author (ty{at}hwr.arizona.edu).

Received for publication 16 December 2002. A constant flux infiltration experiment was conducted to determine the feasibility of using downhole temperature measurements to estimate infiltration flux. Temperatures measured using a downhole thermistor within a 15.4-m-deep borehole compare well with temperatures measured with buried thermocouples in an adjacent borehole to 5 m depth. Numerical forward model simulations were conducted using VS2DI. A numerical sensitivity analysis showed that the temperature profile was most sensitive to the average temperature of the infiltrating water, the infiltration flux, and the specific heat capacity of dry soil. The high sensitivity of these variables allows for a simple sequential optimization to be used to estimate the average temperature of the infiltrating water, the water flux, and the specific heat capacity of dry soil from numerical inversion of temperature measurements. Downhole temperature measurements could be a useful complement to shallow streambed temperature methods, allowing for better quantification of the contribution of streambed infiltration to basin-scale recharge.

Abbreviations: TDR, time domain reflectometry







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