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000201147 0247_ $$2ISSN$$a1873-0604
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000201147 1001_ $$0P:(DE-Juel1)129505$$aMoghadas, Davood$$b0
000201147 245__ $$aEstimation of the near surface soil water content during evaporation using air-launched ground-penetrating radar
000201147 260__ $$aHouten$$bEAGE$$c2014
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000201147 520__ $$aEvaporation is an important process in the global water cycle and its variation affects the near surface soil water content, which is crucial for surface hydrology and climate modelling. Soil evaporation rate is often characterized by two distinct phases, namely, the energy limited phase (stage-I) and the soil hydraulic limited period (stage-II). In this paper, a laboratory experiment was conducted using a sand box filled with fine sand, which was subject to evaporation for a period of twenty three days. The setup was equipped with a weighting system to record automatically the weight of the sand box with a constant time-step. Furthermore, time-lapse air-launched ground penetrating radar (GPR) measurements were performed to monitor the evaporation process. The GPR model involves a full-waveform frequency-domain solution of Maxwell’s equations for wave propagation in three-dimensional multilayered media. The accuracy of the full-waveform GPR forward modelling with respect to three different petrophysical models was investigated. Moreover, full-waveform inversion of the GPR data was used to estimate the quantitative information, such as near surface soil water content. The two stages of evaporation can be clearly observed in the radargram, which indicates qualitatively that enough information is contained in the GPR data. The fullwaveform GPR inversion allows for accurate estimation of the near surface soil water content during extended evaporation phases, when a wide frequency range of GPR (0.8–5.0 GHz) is taken into account. In addition, the results indicate that the CRIM model may constitute a relevant alternative in solving the frequency-dependency issue for full waveform GPR modelling. 
000201147 536__ $$0G:(DE-HGF)POF2-246$$a246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246)$$cPOF2-246$$fPOF II$$x0
000201147 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x1
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000201147 7001_ $$0P:(DE-Juel1)129476$$aJadoon, Khan Zaib$$b1
000201147 7001_ $$0P:(DE-Juel1)129548$$aVanderborght, Jan$$b2$$ufzj
000201147 7001_ $$0P:(DE-HGF)0$$aLambot, Sebastian$$b3
000201147 7001_ $$0P:(DE-Juel1)129549$$aVereecken, Harry$$b4$$ufzj
000201147 773__ $$0PERI:(DE-600)2247665-9$$a10.3997/1873-0604.2014017$$gVol. 12, no. 2036$$n5$$p623-633$$tNear surface geophysics$$v12$$x1873-0604$$y2014
000201147 909CO $$ooai:juser.fz-juelich.de:201147$$pVDB:Earth_Environment$$pVDB
000201147 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129548$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
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000201147 9132_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
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000201147 9141_ $$y2015
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