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TitleModeling the vertical succession of glaciofluvial sediments in a buried-valley aquifer using multivariate geostatistical simulation of grain-size distributions
AuthorDesbarats, A J; Russell, H A J; Pullan, S E; Sharpe, D R
SourceGIS and Spatial Analysis, Final Program IAMG 2005 ; by International Association for Mathematical Geology; 14.107, 2005, 6 pages
Alt SeriesEarth Sciences Sector, Contribution Series 2005162
MeetingGIS and Spatial Analysis - 2005 Annual Conference of the International Association for Mathematical Geology; Toronto; CA; August 21-26, 2005
Documentcomputer file
Mediaon-line; digital
NTS30M/05; 30M/11; 30M/12; 30M/13; 30M/14; 30M/15; 30M/16; 31D/01; 31D/02; 31D/03; 31D/04; 31D/06; 31C/04; 40P/09; 40P/16
AreaToronto; Rice Lake; Trenton; Brampton; Bolton; Markham; Oshawa; Alliston; Orangeville; Hamilton; Port Hope; Scugog; New Market; Guelph; Beaverton
Lat/Long WENS-80.0000 -78.0000 44.5000 43.2500
Subjectshydrogeology; mathematical and computational geology; buried valleys; aquifers; groundwater regimes; groundwater; grain size analyses; grain size distribution; glacial deposits; glaciofluvial deposits; sedimentary facies; statistical analysis; statistical methods; statistics; Oak Ridges Moraine; Cenozoic; Quaternary
IllustrationsSemivariograms; ternary diagrams
AbstractMin/Max Autocorrelation Factors (MAF) are used to perform spectral decomposition of auto- and cross-correlated grain-size distributions (GSD) from samples of glaciofluvial sediments taken along a borehole within a buried valley aquifer. The Sequential Gaussian method is then used to generate realizations of the MAF from which simulated GSDs are recovered by back-transformation. Univariate and bivariate statistics of the simulated GSDs are compared to those of the original data. Transition probabilities of categorical sediment types derived from simulated and original GSDs are also compared.