000110576 001__ 110576
000110576 005__ 20181203020918.0
000110576 0247_ $$2doi$$a10.1016/j.advwatres.2007.07.002
000110576 022__ $$a0309-1708
000110576 037__ $$aARTICLE
000110576 245__ $$aIssues in characterizing heterogeneity and connectivity in non-multiGaussian media
000110576 260__ $$c2008
000110576 269__ $$a2008
000110576 336__ $$aJournal Articles
000110576 520__ $$aThe performances of kriging, stochastic simulations and sequential self-calibration inversion are assessed when characterizing a non-multiGaussian synthetic 2D braided channel aquifer. The comparison is based on a series of criteria such as the reproduction of the original reference transmissivity or head fields, but also in terms of accuracy of flow and transport (capture zone) forecasts when the flow conditions are modified. We observe that the errors remain large even for a dense data network. In addition some unexpected behaviours are observed when large transmissivity datasets are used. In particular, we observe an increase of the bias with the number of transmissivity data and an increasing uncertainty with the number of head data. This is interpreted as a consequence of the use of an inadequate multiGaussian stochastic model that is not able to reproduce the connectivity of the original field.
000110576 700__ $$aKerrou, Jaouher
000110576 700__ $$aRenard, Philippe
000110576 700__ $$aHendricks Franssen, Harrie-Jan
000110576 700__ $$aLunati, Ivan
000110576 773__ $$j31$$k1$$q147-159$$tAdvances in Water Resources
000110576 909C0 $$0252157$$pLASEP$$xU11248
000110576 909CO $$ooai:infoscience.tind.io:110576$$particle
000110576 917Z8 $$x148230
000110576 937__ $$aLASEP-ARTICLE-2007-007
000110576 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000110576 980__ $$aARTICLE