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000134440 0247_ $$2doi$$a10.1007/s12665-013-2304-4
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000134440 1001_ $$0P:(DE-Juel1)136836$$aAltdorff, Daniel$$b0$$eCorresponding author
000134440 245__ $$aDelineation of fluvial sediment architecture of subalpine riverinesystems using noninvasive hydrogeophysical methods
000134440 260__ $$aBerlin$$bSpringer$$c2013
000134440 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1370931875_12507
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000134440 520__ $$aRiver management and restoration measures  are of increasing importance for integrated water resources  management (IWRM) as well as for ecosystem services.  However, often river management mainly considers engineering  and construction aspects only and the hydrogeological  settings as the properties and functions of ancient  fluvial systems are neglected which often do not lead to the  desired outcome. Knowledge of the distribution of sediment  units could contribute to a more efficient restoration.  In this study, we present two noninvasive approaches for  delineation of fluvial sediment architecture that can form a  basis for the restoration, particularly in areas where site  disturbance is not permitted. We investigate the floodplain  of a heavily modified low-mountain river in Switzerland  using different hydrogeophysical methods. In the first  approach, we use data from electromagnetic induction  (EMI) with four different integral depths (0.75–6 m) and  gamma-spectrometry as well as the elevation data as input  for a K-means cluster algorithm. The generated cluster map  of the surface combines the main characteristics from  multilayered input data and delineates areas of varying soil  properties. The resulting map provides an indication of  areas with different sedimentary units. In the second  approach, we develop a new iterative method for the  generation of a geological structure model (GSM) by  means of various EMI forward models. We vary the geological  input parameters based on the measured data until  the predicted EMI maps match the measured EMI values.  Subsequently, we use the best matched input data for the  GSM generation. The derived GSM provides a 3D delineation  of possible ancient stream courses. A comparison  with an independent ground penetrating radar (GPR) profile  confirmed the delineations on the cluster map as well as  the vertical changes of the GSM qualitatively. Thus, each  of the approaches had the capacity for detecting sedimentary  units with distinct hydraulic properties as an indication  of former stream courses. The developed methodology  presents a promising tool for the characterization of test  sites with no additional subsurface information.
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000134440 7001_ $$0P:(DE-HGF)0$$aEpting, J.$$b1
000134440 7001_ $$0P:(DE-Juel1)129561$$avan der Kruk, Jan$$b2
000134440 7001_ $$0P:(DE-HGF)0$$aDietrich, P.$$b3
000134440 7001_ $$0P:(DE-HGF)0$$aHuggenberger, P.$$b4
000134440 773__ $$0PERI:(DE-600)2493699-6$$a10.1007/s12665-013-2304-4$$n2$$p633-644$$tEnvironmental earth sciences$$v69$$x1866-6280
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000134440 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)136836$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000134440 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)136836$$aDepartment of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research (UFZ), Leipzig$$b0
000134440 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aUniversity of Basel$$b1
000134440 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129561$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
000134440 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aDepartment of Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research (UFZ), Leipzig$$b3
000134440 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aUniversity of Basel$$b4
000134440 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
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000134440 9141_ $$y2013
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