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000202688 0247_ $$2ISSN$$a1866-1793
000202688 020__ $$a978-3-95806-067-8
000202688 037__ $$aFZJ-2015-04872
000202688 041__ $$aEnglish
000202688 1001_ $$0P:(DE-Juel1)142576$$aQu, Wei$$b0$$eCorresponding author$$ufzj
000202688 245__ $$aCharacterization of soil water content variability at the catchment scale using sensor network and stochastic modelling$$f2015-07-31
000202688 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2015
000202688 300__ $$aXVI, 123 S.
000202688 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1438323567_453
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000202688 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v271
000202688 502__ $$aUniversität Bonn, Diss., 2015$$bDr.$$cUniversität Bonn$$d2015
000202688 520__ $$aWireless sensor network technology has recently been used for high spatial and temporal resolution soil water content measurements to facilitate better understanding of hydrological processes in catchment scale. Its performance strongly depends on the quality of the sensorsand the number of sensor nodes. In the first paper, the newly developed SPADE soil water content sensor was calibrated using a two-step laboratory-based procedure using dielectric reference liquids. The sensor accuracy was evaluated in terms of sensor-to-sensor variability and temperature effect. Using sensor-specific calibration significantly improved the estimation of apparent dielectric permittivity as compared to using a universal calibration function. The transferability of the temperature correction function from reference liquids to soils was successful and has been verified with undisturbed soil samples. A site-specific petrophysical model (complex refraction index model, CRIM) was used to convert apparent dielectric permittivity into soil water content using 15 soil samples from the Rollesbroichcatchment, with RMSE values of 0.028, 0.025, and 0.022 cm$^{3}$cm$^{-3}$ for 5, 20, and 50 cm, respectively. [...]
000202688 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
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