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Record W1978858075 · doi:10.1130/b31193.1

Characterization and quantification of aquifer heterogeneity using outcrop analogs at the Canadian Forces Base Borden, Ontario, Canada

2015· article· en· W1978858075 on OpenAlexaboutno aff
Gary S. Weissmann, A. Pickel, K. C. McNamara, J. D. Frechette, Indra Kalinovich, R. M. Allen‐King, I. Janković

Bibliographic record

VenueGeological Society of America Bulletin · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
FundersStrategic Environmental Research and Development Program
KeywordsOutcropAquiferGeologyArchaeologyLibrary scienceHistoryPaleontologyComputer scienceGroundwaterGeotechnical engineering

Abstract

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Research Article| July 01, 2015 Characterization and quantification of aquifer heterogeneity using outcrop analogs at the Canadian Forces Base Borden, Ontario, Canada G.S. Weissmann; G.S. Weissmann † 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA †E-mail: weissman@unm.edu Search for other works by this author on: GSW Google Scholar A. Pickel; A. Pickel 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA Search for other works by this author on: GSW Google Scholar K.C. McNamara; K.C. McNamara 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA Search for other works by this author on: GSW Google Scholar J.D. Frechette; J.D. Frechette 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA Search for other works by this author on: GSW Google Scholar I. Kalinovich; I. Kalinovich 2Department of Geology, University at Buffalo, State University of New York, Buffalo, New York 14260, USA §Current address: Dillon Consulting Limited, 1558 Wilson Place, Winnipeg, Manitoba, R3T 0Y4, Canada, and Department of Civil Engineering, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada. Search for other works by this author on: GSW Google Scholar R.M. Allen-King; R.M. Allen-King 2Department of Geology, University at Buffalo, State University of New York, Buffalo, New York 14260, USA Search for other works by this author on: GSW Google Scholar I. Jankovic I. Jankovic 3Department of Civil, Structural, and Environmental Engineering, University at Buffalo, State University of New York, Buffalo, New York 14260, USA Search for other works by this author on: GSW Google Scholar Author and Article Information G.S. Weissmann † 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA A. Pickel 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA K.C. McNamara 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA J.D. Frechette 1Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, New Mexico 87131, USA I. Kalinovich §Current address: Dillon Consulting Limited, 1558 Wilson Place, Winnipeg, Manitoba, R3T 0Y4, Canada, and Department of Civil Engineering, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada. 2Department of Geology, University at Buffalo, State University of New York, Buffalo, New York 14260, USA R.M. Allen-King 2Department of Geology, University at Buffalo, State University of New York, Buffalo, New York 14260, USA I. Jankovic 3Department of Civil, Structural, and Environmental Engineering, University at Buffalo, State University of New York, Buffalo, New York 14260, USA †E-mail: weissman@unm.edu Publisher: Geological Society of America Received: 17 Aug 2014 Revision Received: 15 Jan 2015 Accepted: 09 Feb 2015 First Online: 08 Mar 2017 Online ISSN: 1943-2674 Print ISSN: 0016-7606 © 2015 Geological Society of America GSA Bulletin (2015) 127 (7-8): 1021–1035. https://doi.org/10.1130/B31193.1 Article history Received: 17 Aug 2014 Revision Received: 15 Jan 2015 Accepted: 09 Feb 2015 First Online: 08 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation G.S. Weissmann, A. Pickel, K.C. McNamara, J.D. Frechette, I. Kalinovich, R.M. Allen-King, I. Jankovic; Characterization and quantification of aquifer heterogeneity using outcrop analogs at the Canadian Forces Base Borden, Ontario, Canada. GSA Bulletin 2015;; 127 (7-8): 1021–1035. doi: https://doi.org/10.1130/B31193.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGSA Bulletin Search Advanced Search Abstract Accurate characterization of internal structures and geometries of aquifers is critical for evaluation of plume migration and dispersion of contaminants. For this reason, high-resolution transport study field sites, such as the Waterloo Groundwater Research Site at the Canadian Forces Base Borden, Ontario, Canada, have been established. However, geological characterization at this site is based primarily on cores and shallow geophysical data. Outcrop analog studies offer detailed horizontal data that can help to build quantified models of aquifer heterogeneity. We used a combination of ground-based light detection and ranging (LiDAR) and high-resolution photographs at a sand quarry cut into Borden aquifer sediment to evaluate and quantify the distribution of lithofacies and hydrofacies that control flow properties in the Borden aquifer. We exposed sixteen ∼20 m × 1.5 m outcrops, LiDAR surveyed, photographed, and field mapped lithofacies at each exposure, and segmented the lithofacies from photographs to produce maps of facies distributions. We grouped different lithofacies into hydrofacies based on overall facies geometry and estimated hydraulic properties. We used LiDAR scans and the segmented facies maps to produce a digital outcrop model (DOM) of the site. The resultant DOM combines lithofacies and hydrofacies derived from field observations with high-resolution (5 mm) LiDAR data to reconstruct hydrofacies distributions in a three-dimensional (3-D) geomodel. The DOM offers a relatively complete horizontal correlation structure that was used in transition probability geostatistical modeling to create realizations of hydrofacies distributions in the aquifer at the study site. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.221
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations17
Published2015
Admission routes1
Has abstractyes

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