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Titolo:
Geostatistical mapping of leakance in a regional aquitard, Oak Ridges Moraine area, Ontario, Canada
Autore:
Desbarats, AJ; Hinton, MJ; Logan, CE; Sharpe, DR;
Indirizzi:
Geol Survey Canada, Ottawa, ON K1A 0E8, Canada Geol Survey Canada Ottawa ON Canada K1A 0E8 a, Ottawa, ON K1A 0E8, Canada
Titolo Testata:
HYDROGEOLOGY JOURNAL
fascicolo: 1, volume: 9, anno: 2001,
pagine: 79 - 96
SICI:
1431-2174(200102)9:1<79:GMOLIA>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
HYDRAULIC CONDUCTIVITY; AQUIFER SYSTEM; TILL; PERMEABILITY; TORONTO; MODEL; FLOW;
Keywords:
geostatistics; hydraulic properties; confining units; upscaling; Canada;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
52
Recensione:
Indirizzi per estratti:
Indirizzo: Desbarats, AJ Geol Survey Canada, 601 Booth St, Ottawa, ON K1A 0E8, CanadaGeol Survey Canada 601 Booth St Ottawa ON Canada K1A 0E8 ada
Citazione:
A.J. Desbarats et al., "Geostatistical mapping of leakance in a regional aquitard, Oak Ridges Moraine area, Ontario, Canada", HYDROGEOL J, 9(1), 2001, pp. 79-96

Abstract

The Newmarket Till forms a regionally extensive aquitard separating two major aquifer systems in the Greater Toronto area, Canada. The till is incised, and sometimes eroded entirely, by a network of sand- and gravel-filled channels forming productive aquifers and, locally, high-conductivity windowsbetween aquifer systems. Leakage through the till may also be substantial in places. This study investigates the spatial variability of aquitard leakance in order to assess the relative importance of recharge processes to the lower aquifers. With a large database derived from water-well records andcontaining both hard and soft information, the Sequential Indicator Simulation method is used to generate maps of aquitard thickness and window probability. These can be used for targeting channel aquifers and for identifying potential areas of recharge to the lower aquifers. Conductivities are modeled from sparse data assuming that their correlation range is much smallerthan the grid spacing. Block-scale leakances are obtained by upscaling nodal values based on simulated conductivity and thickness fields. Under the "aquifer-flow" assumption, upscaling is performed by arithmetic spatial averaging. Histograms and maps of upscaled leakances show that heterogeneities associated with aquitard windows have the largest effect on regional groundwater flow patterns.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 05/04/20 alle ore 22:33:06