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Brown, P. A., Rey, N. A. C. (1989) Statistical analysis of the geological–hydrogeological conditions within part of the Eye–Dashwa Pluton, Atikokan, northwestern Ontario. Canadian Journal of Earth Sciences, 26 (2) 345-356 doi:10.1139/e89-033

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Reference TypeJournal (article/letter/editorial)
TitleStatistical analysis of the geological–hydrogeological conditions within part of the Eye–Dashwa Pluton, Atikokan, northwestern Ontario
JournalCanadian Journal of Earth Sciences
AuthorsBrown, P. A.Author
Rey, N. A. C.Author
Year1989 (February 1)Volume26
Issue2
PublisherCanadian Science Publishing
DOIdoi:10.1139/e89-033Search in ResearchGate
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Mindat Ref. ID480385Long-form Identifiermindat:1:5:480385:4
GUID0
Full ReferenceBrown, P. A., Rey, N. A. C. (1989) Statistical analysis of the geological–hydrogeological conditions within part of the Eye–Dashwa Pluton, Atikokan, northwestern Ontario. Canadian Journal of Earth Sciences, 26 (2) 345-356 doi:10.1139/e89-033
Plain TextBrown, P. A., Rey, N. A. C. (1989) Statistical analysis of the geological–hydrogeological conditions within part of the Eye–Dashwa Pluton, Atikokan, northwestern Ontario. Canadian Journal of Earth Sciences, 26 (2) 345-356 doi:10.1139/e89-033
In(1989, February) Canadian Journal of Earth Sciences Vol. 26 (2) Canadian Science Publishing
Abstract/Notes The occurrence and distribution of fracture-filling material within the Eye–Dashwa granite indicate that the dominant fracture system formed shortly after emplacement and cooling of the pluton at 2678 ± 67 Ma. Subsequent reactivation of these ancient fractures was accompanied by sequentially younger and lower temperature filling materials. These reopened ancient fractures are best developed in the upper 300–400 m of the rock mass and are commonly conduits for present-day groundwater flow.Multiple linear regression analysis performed on the geological variables defined from boreholes ATK-1, -2, -3, -4, and -5 identified a highly significant correlation between a number of these variables and hydraulic conductivity values measured in 25 m test sections of the boreholes. The correlation is expressed as[Formula: see text]here log Kerm is the log of hydraulic conductivity; log(DEPTH) is the log-transformed depth to the lower end of the packer interval; log(CLAY) is the log-transformed frequency of clay-filled fractures per 25 m interval; log(VEIN) is the log-transformed frequency of veins per 25 m interval. The equation has a multiple r value of 0.82, explains 67% of the variance of hydraulic conductivity, and has a random exceedence probability (Q) of 9 × 10−12 (i.e., it is highly significant).The predictive capability of the regression design was tested with seven new test data and found to be a valid estimator of the hydrogeological conditions within these test intervals.


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