Influence of Groundwater Hydraulic Gradient on Bank Storage Metrics
Chani Welch, Glenn A Harrington1,2, Peter G Cook1,3
1National Centre for Groundwater Research and Training, School of the Environment, Flinders University, G.P.O. Box 2100, Adelaide, SA 5001, Australia.
Ground Water
|October 10, 2014
Summary
River-aquifer interactions are complex, with bank storage influenced by hydraulic gradients and aquifer properties. Understanding these dynamics is crucial for managing water resources and predicting exchange volumes.
Area of Science:
- Hydrogeology
- Environmental Science
- Water Resource Management
Background:
- The hydraulic gradient between rivers and aquifers is highly variable and significantly impacts bank storage.
- River-aquifer exchange is a complex process influenced by unsaturated zone interfaces, hydraulic conductivity, and penetration depth.
Purpose of the Study:
- To investigate bank storage dynamics under varying hydraulic gradients using a numerical model.
- To determine the factors controlling the proportion of water exchange through river banks versus river beds.
- To assess the accuracy of existing analytical solutions for estimating total exchange.
Main Methods:
- A two-dimensional numerical model of a variably saturated aquifer slice perpendicular to a river was employed.
- The model simulated water exchange at the river-aquifer interface, considering unsaturated zone processes.
- Model outputs were analyzed to understand the influence of hydraulic conductivity, partial penetration, and hydraulic gradient on bank storage.
Main Results:
- Bank storage is maximized without a hydraulic gradient and increases with hydraulic conductivity.
- In the presence of a hydraulic gradient, high hydraulic conductivity does not always lead to maximum exchange flux or penetration.
- Flood wave characteristics do not affect ambient groundwater discharge; high gradients are needed to reduce bank storage during large floods.
Conclusions:
- Existing analytical solutions can estimate total exchange within 50% if unsaturated zone processes are not dominant.
- Accurate measurement of bank storage is challenging due to technological limitations and complex exchange processes.
- Proxies like time series concentration data require further development for quantitative and representative bank storage assessment.
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