Inverse modeling of heterogeneous aquifers based on parameterization with spatial interpolation

Mantoglou, A

dc.contributor.author	Mantoglou, A	en
dc.date.accessioned	2014-03-01T01:51:54Z
dc.date.available	2014-03-01T01:51:54Z
dc.date.issued	2002	en
dc.identifier.issn	00017132	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26500
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0036973542&partnerID=40&md5=a0054b2153971b13915ade7efeea0bcc	en
dc.subject.other	conference proceeding	en
dc.subject.other	flow modeling	en
dc.subject.other	groundwater	en
dc.subject.other	aquifer characterization	en
dc.subject.other	conference proceeding	en
dc.subject.other	flow modeling	en
dc.subject.other	inverse analysis	en
dc.subject.other	parameterization	en
dc.title	Inverse modeling of heterogeneous aquifers based on parameterization with spatial interpolation	en
heal.type	journalArticle	en
heal.publicationDate	2002	en
heal.abstract	The objective of inverse aquifer modeling is to estimate the aquifer parameters from discrete measurements of piezometric head. Transmissivity is an important parameter in aquifer modeling that is highly variable in space. The piezometric head measurements on the other hand are finite and often contaminated with errors. By parameterizing transmissivity variability in terms of few parameters assists transmissivity estimators to learn from useful information contained in the data and limits the influence of the errors. Three different parameterizations based on spatial interpolation are presented, and their characteristics and effectiveness are assessed in a simulation case study.	en
heal.journalName	Acta Universitatis Carolinae, Geologica	en
dc.identifier.volume	46	en
dc.identifier.issue	2-3	en
dc.identifier.spage	247	en
dc.identifier.epage	252	en