A5029530499- Geophysical and Geoelectrical Methods
- Groundwater flow and contamination studies
- Hydrology and Watershed Management Studies
- Geophysical Methods and Applications
- Reservoir Engineering and Simulation Methods
- Seismic Imaging and Inversion Techniques
- Hydrological Forecasting Using AI
- Groundwater and Isotope Geochemistry
- Seismic Waves and Analysis
- Mineral Processing and Grinding
- Flood Risk Assessment and Management
- Neural Networks and Applications
- Geophysics and Gravity Measurements
- Atmospheric and Environmental Gas Dynamics
- Tropical and Extratropical Cyclones Research
- Non-Destructive Testing Techniques
National Centre for Groundwater Research and Training
2017-2024
University of Calgary
2007-2010
Electrical resistivity imaging surveys are used to monitor variations in pore fluid chemistry and saturation as well time‐lapse changes. Temperature the near surface can produce larger magnitude changes electrical conductivity than due slow moving solute plumes or spatial soil moisture. Relationships between temperature based on previous studies conducted over 25–200°C do not explain 0–25°C laboratory data. A modification dependence within a petrophysical model is proposed that may allow...
In order to develop and test a methodology for incorporating time‐lapse electrical resistivity imaging (ERI) into the monitoring of salt‐affected soil groundwater, multifaceted study including imaging, push tool conductivity (PTC), core analysis was conducted monitor movement saline contaminant plume over span 3 years. The survey done on field site containing soils groundwater depths 7 m. contained tile drain system at approximately 2 m below ground level. Temperature saturation changes were...
Variations in temperature during time-lapse electrical resistivity imaging (ERI) surveys introduce changes conductivity (EC). When the goal of ERI survey is to image EC due saturation or pore water salinity, compensation must be made for effect variations. A temperature-compensation method can approximate data with variations removed. First uncompensated are inverted. The inversion model then adjusted a standard image. Forward simulations performed using and equivalent model....
Abstract. It has been advocated that history matching numerical models to a diverse range of observation data types, particularly including environmental tracer concentrations and their interpretations derivatives (e.g., mean age), constitutes an effective appropriate means improve model forecast reliability. This study presents two regional-scale modeling case studies directly rigorously assess the value discrete tritium concentration observations tritium-derived residence time (MRT)...
Over the next century, coastal regions are under threat from projected rising sea levels and potential emergence of groundwater at land surface (groundwater inundation). The economic social damages this largely unseen, often poorly characterised natural hazard substantial. To support risk-based decision making in response to emerging hazard, we present a Bayesian modelling framework (or workflow), which maps spatial distribution level uncertainty inundation Intergovernmental Panel on Climate...
Abstract. It has been advocated that history-matching numerical models to a diverse range of observation data types, particularly including environmental tracer concentrations and their interpretations/derivatives (e.g., mean age), constitutes an effective appropriate means improve model forecast reliability. This study presents two regional-scale modeling case studies directly rigorously assess the value discrete tritium concentration observations tritium-derived residence time (MRT)...
Numerical groundwater modelling to support mining decisions is often challenging and time consuming. Simulation of open pit for model calibration or prediction requires models that include unsaturated flow, large magnitude hydraulic gradients require transient simulations with varying material properties boundary conditions. This combination factors typically results in long simulation times and/or some level numerical instability. In practice, run instability can result reduced effort...
Article impact statement : The software presented in the article helps to run highly parameterized groundwater model calibrations and uncertainty analysis.
type transform count initial value upper bound lower standard deviation coastal boundary conductance log 14 0.576089 to 5 -3 1.33333 river-bed 67 -0.767135 5.69897 1.44983 mixed 271 3.28756 500000 0.001 83333.3 drain 1 -2.28602 2 0.833333 horizontal hydraulic conductivity 235 -1.43573 4 -4 0.69897 0.333333 1.1165 horizontal-vertical anisotropy factor 187 0.897056 3 0 0.5 porosity -1 -0.823909 0.362682 (irrigation well) abstraction rate multiplier none 98.9137