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Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

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Published on: November 13, 2017

Numerical solution for water table rise estimation behind deep underground dam.

¹Department of Hydrogeology, Faculty of Earth Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. a_hames@hotmail.com

|September 29, 2011

Summary

This summary is machine-generated.

A new numerical method accurately predicts groundwater level changes from underground dams without needing dam details or downstream data. This approach simplifies modeling transient groundwater dynamics for effective water resource management.

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Area of Science:

Hydrogeology
Numerical Modeling
Water Resource Management

Background:

Underground dams are crucial for managing groundwater resources, but accurately modeling their impact on transient groundwater levels is complex.
Existing models often require extensive data on dam properties and surrounding aquifer geometry, limiting their practical application.

Purpose of the Study:

To develop a simplified yet robust numerical approach for simulating transient groundwater level changes caused by underground dams.
To create a method that does not necessitate knowledge of dam hydraulic properties or downstream aquifer conditions.

Main Methods:

Coupling the general groundwater flow equation with a modified equation for lower boundary nodes.
Developing a numerical approach that assumes no flow through the dam structure.
Validating the method against simulations of the full groundwater flow equation for various scenarios.

Main Results:

The developed numerical method accurately simulates transient groundwater level changes due to underground dams.
The model demonstrates robustness across different time scales (up to 50 years) and aquifer characteristics.
Outputs show good agreement with results from the full groundwater flow equation simulations.

Conclusions:

The proposed numerical method offers a computationally efficient and data-light alternative for analyzing underground dam impacts on groundwater levels.
This approach enhances the ability to predict and manage groundwater resources in areas with underground dam construction.
The findings support the use of this method in hydrogeological studies and water resource planning.