000185678 001__ 185678
000185678 005__ 20210129214712.0
000185678 037__ $$aFZJ-2014-07103
000185678 1001_ $$0P:(DE-Juel1)129548$$aVanderborght, Jan$$b0$$eCorresponding Author$$ufzj
000185678 1112_ $$a7th European Modelling Workshop$$cVienna$$d2014-10-21 - 2014-10-23$$wAustria
000185678 245__ $$aInterpretation of groundwater concentration measurements using flow and transport models.
000185678 260__ $$c2014
000185678 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1420444545_23891$$xInvited
000185678 3367_ $$033$$2EndNote$$aConference Paper
000185678 3367_ $$2DataCite$$aOther
000185678 3367_ $$2ORCID$$aLECTURE_SPEECH
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000185678 3367_ $$2BibTeX$$aINPROCEEDINGS
000185678 520__ $$aConcentrations measurements in samples taken from groundwater observation wells are used to monitor the evolution of the groundwater quality. Groundwater monitoring wells may be of interest to evaluate the impact of agricultural practices on groundwater quality. However, a direct interpretation of groundwater concentration measurements is impaired by several factors. Land management at the soil surface is uniform neither in space nor in time leading to spatio-temporal imprints of management practices on groundwater concentrations. In order to unravel these imprints, groundwater flow and transport models are indispensable. In this contribution, we discuss several processes that should be considered when interpreting groundwater concentration measurements in an observation well with a certain filter depth and length. First, simple analytical approaches that give a first impression about the origin of the sampled groundwater and its age are discussed. In their simplest form, these approaches consider only advective transport in a uniform aquifer. Using numerical flow and transport simulations, the impact of mixing processes and heterogeneity of aquifer properties on groundwater concentrations are presented in a second part. Since numerical simulations of 3-D processes are computationally expensive, analytical solutions of 3-D transport equations or of first-order approximations of stochastic transport equations are presented in a third part.
000185678 536__ $$0G:(DE-HGF)POF2-246$$a246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246)$$cPOF2-246$$fPOF II$$x0
000185678 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x1
000185678 7001_ $$0P:(DE-Juel1)156216$$aEngelhardt, Irina$$b1$$ufzj
000185678 7001_ $$0P:(DE-Juel1)129469$$aHerbst, Michael$$b2$$ufzj
000185678 7001_ $$0P:(DE-Juel1)129466$$aHardelauf, Horst$$b3$$ufzj
000185678 7001_ $$0P:(DE-Juel1)129561$$avan der Kruk, Jan$$b4$$ufzj
000185678 7001_ $$0P:(DE-Juel1)129483$$aKlotzsche, Anja$$b5$$ufzj
000185678 7001_ $$0P:(DE-Juel1)158035$$aGüting, Nils$$b6$$ufzj
000185678 7001_ $$0P:(DE-Juel1)129549$$aVereecken, Harry$$b7$$ufzj
000185678 7001_ $$0P:(DE-HGF)0$$aDiels, Jan$$b8
000185678 773__ $$y2014
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000185678 9132_ $$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$$x0
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000185678 9141_ $$y2014
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