000062963 001__ 62963
000062963 005__ 20200423204622.0
000062963 0247_ $$2DOI$$a10.1029/2007WR006740
000062963 0247_ $$2WOS$$aWOS:000258344200005
000062963 0247_ $$2Handle$$a2128/19878
000062963 037__ $$aPreJuSER-62963
000062963 041__ $$aeng
000062963 082__ $$a550
000062963 084__ $$2WoS$$aEnvironmental Sciences
000062963 084__ $$2WoS$$aLimnology
000062963 084__ $$2WoS$$aWater Resources
000062963 1001_ $$0P:(DE-HGF)0$$aSuciu, N.$$b0
000062963 245__ $$aMemory effects induced by dependence on initial conditions and ergodicity of transport in heterogenous media
000062963 260__ $$aWashington, DC$$bAGU$$c2008
000062963 300__ $$aW08501
000062963 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000062963 3367_ $$2DataCite$$aOutput Types/Journal article
000062963 3367_ $$00$$2EndNote$$aJournal Article
000062963 3367_ $$2BibTeX$$aARTICLE
000062963 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000062963 3367_ $$2DRIVER$$aarticle
000062963 440_0 $$05958$$aWater Resources Research$$v44$$x0043-1397
000062963 500__ $$aRecord converted from VDB: 12.11.2012
000062963 520__ $$aFor transport in statistically homogeneous random velocity fields with properties that are routinely assumed in stochastic groundwater models, the one-particle dispersion (i.e., second central moment of the ensemble average concentration for a point source) is a "memory-free'' quantity independent of initial conditions. Nonergodic behavior of large initial plumes, as manifest in deviations of actual solute dispersion from one-particle dispersion, is associated with a "memory term'' consisting of correlations between initial positions and displacements of solute molecules. Reliable numerical experiments show that increasing the source dimensions has two opposite effects: it reduces the uncertainty related to the randomness of center of mass, but, at the same time, it yields large memory terms. The memory effects increase with the source dimension and depend on its shape and orientation. Large narrow sources oriented transverse to the mean flow direction yield ergodic behavior with respect to the one-particle dispersion of the longitudinal dispersion and nonergodic behavior of the transverse dispersion, whereas for large longitudinal sources, the longitudinal dispersion behaves nonergodically, and the transverse dispersion behaves ergodically. Such memory effects are significantly large over hundreds of heterogeneity scales and should therefore be considered in practical applications, for instance, calibration of model parameters, forecasting, and identification of the contaminant source.
000062963 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000062963 588__ $$aDataset connected to Web of Science
000062963 650_7 $$2WoSType$$aJ
000062963 7001_ $$0P:(DE-HGF)0$$aVamos, C.$$b1
000062963 7001_ $$0P:(DE-Juel1)129549$$aVereecken, H.$$b2$$uFZJ
000062963 7001_ $$0P:(DE-HGF)0$$aSabelfeld, K.$$b3
000062963 7001_ $$0P:(DE-HGF)0$$aKnabner, P.$$b4
000062963 773__ $$0PERI:(DE-600)2029553-4$$a10.1029/2007WR006740$$gVol. 44, p. W08501$$pW08501$$q44<W08501$$tWater resources research$$v44$$x0043-1397$$y2008
000062963 8567_ $$uhttp://dx.doi.org/10.1029/2007WR006740
000062963 8564_ $$uhttps://juser.fz-juelich.de/record/62963/files/Suciu_et_al-2008-Water_Resources_Research.pdf$$yOpenAccess
000062963 8564_ $$uhttps://juser.fz-juelich.de/record/62963/files/Suciu_et_al-2008-Water_Resources_Research.gif?subformat=icon$$xicon$$yOpenAccess
000062963 8564_ $$uhttps://juser.fz-juelich.de/record/62963/files/Suciu_et_al-2008-Water_Resources_Research.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000062963 8564_ $$uhttps://juser.fz-juelich.de/record/62963/files/Suciu_et_al-2008-Water_Resources_Research.jpg?subformat=icon-700$$xicon-700$$yOpenAccess
000062963 8564_ $$uhttps://juser.fz-juelich.de/record/62963/files/Suciu_et_al-2008-Water_Resources_Research.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000062963 909CO $$ooai:juser.fz-juelich.de:62963$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000062963 9131_ $$0G:(DE-Juel1)FUEK407$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000062963 9141_ $$y2008
000062963 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000062963 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000062963 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer review
000062963 9201_ $$0I:(DE-Juel1)VDB793$$d31.10.2010$$gICG$$kICG-4$$lAgrosphäre$$x1
000062963 9201_ $$0I:(DE-82)080011_20140620$$gJARA$$kJARA-ENERGY$$lJülich-Aachen Research Alliance - Energy$$x2
000062963 9201_ $$0I:(DE-Juel1)VDB1045$$gJARA$$kJARA-SIM$$lJülich-Aachen Research Alliance - Simulation Sciences$$x3
000062963 970__ $$aVDB:(DE-Juel1)99965
000062963 980__ $$aVDB
000062963 980__ $$aConvertedRecord
000062963 980__ $$ajournal
000062963 980__ $$aI:(DE-Juel1)IBG-3-20101118
000062963 980__ $$aI:(DE-82)080011_20140620
000062963 980__ $$aI:(DE-Juel1)VDB1045
000062963 980__ $$aUNRESTRICTED
000062963 9801_ $$aFullTexts
000062963 981__ $$aI:(DE-Juel1)IBG-3-20101118
000062963 981__ $$aI:(DE-Juel1)VDB1045
000062963 981__ $$aI:(DE-Juel1)VDB1047