OGS-GSC collaboration on regional groundwater studies 2014-2019: conclusion
Notice bibliographique
Résumé
The Ontario Geological Survey (OGS) and Geological Survey of Canada (GSC) groundwater collaboration in Southern Ontario will be complete at the end of March 2019. The objective of the collaboration was to maximize technical and human resources to meet objectives of the OGS groundwater initiative and the GSC Groundwater Geoscience Program. To that end the initial collaborative effort involved a GAP analysis in March 2015 which provided guidance for aspects of the subsequent 4 year collaboration. In November 2015 a workshop was held with other provincial ministries, conservation authorities and academia to review a path forward on an improved data framework for sustainable groundwater management. The overall project was orientated along the following principal themes i) Framework for Sustainable Groundwater Use, ii) Supporting Great Lakes Water Accords, iii) Methods Development for Regional Groundwater Studies, iv) 4. Case Studies, v) Science and Technology Exchange. Recognizing the extensive work completed as part of provincial Source Protection Program the project focused on development of two regional three-dimensional geological models of the bedrock and surficial geology. These models support a fully coupled regional groundwater - surface-water model being developed with Aquanty Inc. The models are supported by OGS, GSC and other provincial, private sector, and academic work and provide a framework for past and future datasets and groundwater understanding. To support this work a number of data collection studies (reflection seismic, downhole geophysics, chemostratigraphic analysis, hydrochemistry) data collation (Municipal well attributes, OGS section data, borehole logs), and data QA and QC activities were completed. To address concerns about groundwater - surface-water in the Great Lakes Water Accord a conceptual framework was developed as a management guide for watershed practitioners. Methods development focused on a number of areas related to remote sensing and soil moisture downscaling, application of portable X-ray fluorescence spectrometry to determine regional geochemistry, stochastic modelling methods at a watershed scale, and reflection seismic and downhole geophysics. In addition, in the South Nation River watershed a hydrogeophysics study was initiated to investigate the propagation of hydraulic properties through an esker cross-section by the integration of geophysical and hydraulic data within a machine learning environment. A key concern raised in the gap analysis was science and technology communication by the OGS and GSC. In response to that concern an annual open house was initiated in late winter of the four subsequent years and coordinated with Conservation Ontario. This was complemented by coordination with academia on a special issue of the Canadian Journal of Earth Sciences on surficial geology and applications to groundwater. A final summary volume of GSC work will be published in the spring of 2019 as a GSC publication. The OGS and GSC will continue to publish after the formal collaborative project ends, through their respective online sites GeologyOntario, GeoScan, and the Groundwater Information Network (GIN).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,040 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,009 | 0,004 |
| Science ouverte | 0,004 | 0,016 |
| Intégrité de la recherche | 0,006 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».