| Titre | Hydraulic tomography analysis of municipal well operation sata with geology-based groundwater models at the Mannheim Wellfield in Kitchener, Ontario, Canada |
| Télécharger | Téléchargement (publication entière) |
| Licence | Veuillez noter que la Licence du gouvernement
ouvert - Canada remplace toutes les licences antérieures. |
| Auteur | Tong, X; Illman, W A; Berg, S J; Luo, N |
| Source | Regional-Scale Groundwater Geoscience in Southern Ontario: An Ontario Geological Survey, Geological Survey of Canada, and Conservation Ontario Geoscientists Open House; par Russell, H A J; Ford, D;
Holysh, S; Priebe, E H; Commission géologique du Canada, Dossier public 8528, 2019 p. 28, https://doi.org/10.4095/313602 (Accès ouvert) |
| Année | 2019 |
| Séries alt. | Ontario Geological Survey, Open File Report 6349 |
| Éditeur | Ressources naturelles Canada |
| Éditeur | Gouvernement de l'Ontario |
| Réunion | Regional-Scale Groundwater Geoscience in Southern Ontario: Open House; Guelph; CA; février 27-28, 2019 |
| Document | dossier public |
| Lang. | anglais |
| DOI | https://doi.org/10.4095/313602 |
| Media | en ligne; numérique |
| Référence reliée | Cette publication est contenue dans Russell, H A
J; Ford, D; Holysh, S; Priebe, E H; (2019). Regional-Scale Groundwater Geoscience in Southern Ontario: An Ontario Geological Survey, Geological Survey of Canada, and Conservation Ontario Geoscientists Open House, Commission géologique du Canada,
Dossier public 8528 |
| Formats | pdf |
| Province | Ontario |
| SNRC | 40P/08 |
| Lat/Long OENS | -80.5000 -80.0000 43.5000 43.2500 |
| Sujets | eau souterraine; aquifères; ressources en eau souterraine; gestion des ressources; puits d'eau; modèles; analyses hydrauliques; conductivité hydraulique; niveaux des eaux souterraines; écoulement de la
nappe d'eau souterraine; géostatistiques; établissement de modèles; méthodologie; hydrogéologie; géomathématique |
| Diffusé | 2019 02 08 |
| Résumé | (disponible en anglais seulement)
The sustainable management of groundwater resources is essential to municipalities worldwide due to the increasing water demand from dramatic population growth.
Planning for the optimized use of groundwater resources requires a sound understanding of hydrogeology and reliable estimation of hydraulic parameters such as hydraulic conductivity (K) and specific storage (Ss). Traditionally, K estimates are
obtained through the application of empirical formulae to representative grain sizes, laboratory analysis of core samples, slug/bail tests and pumping tests. Reliable estimates of Ss are difficult to obtain and are typically obtained through the
analysis of pumping tests. The interpretation of pumping tests with analytical solutions with various simplifying assumptions has become the de facto standard in the consulting industry; however, research has shown that in non-idealized real-world
applications, biased K and Ss estimates may be obtained which can lead to poor predictions of independent stress events. Thus, there is a critical need for more robust methods to estimate hydraulic parameters.
A new approach using hydraulic
tomography (HT) to estimate K and Ss has been applied at the Mannheim East wellfield in Kitchener, Ontario. In particular, four different geological models with homogeneous geological layers are calibrated by coupling HydroGeoSphere (HGS) (Aquanty,
2018) and the parameter estimation code PEST (Doherty, 2005) using water-level variation records in observation wells collected during municipal well operations. The four geological models are well calibrated and yield reliable estimates that are
consistent with previously estimated values for the shallower layers where most data points are collected. However, K and Ss estimates for deeper layers with fewer observation points vary more significantly among the models. The comparison of
simulated and observed draw down for both model calibration and validation reveals that all four groundwater flow models with varying geology can capture the water-level fluctuation pattern quite well. However, rapid water-level variations at some
wells are not captured very well, which could be due to the presence of high K pathways and heterogeneity not captured by these geological models. Currently, we are developing a HT approach based on geostatistics to handle this issue for both
unconsolidated and fractured geologic media.
Overall, our research reveals that: 1) the HT analysis of municipal well records is feasible and yields reliable K and Ss estimates of individual geological units where drawdown records are available;
2) these estimates are obtained at the scale of its intended use of municipal well operations, unlike small-scale estimates typically obtained; 3) characterization and estimation can be conducted using existing data, thus removing the need for
dedicated pumping tests which leads to substantial cost savings; and 4) data collected during municipal well operations can be used for parameter estimation and groundwater modeling, thus they are critical and should be archived. |
| GEOSCAN ID | 313602 |
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