A simulation‐optimization model to control seawater intrusion in coastal aquifers using abstraction/recharge wells
Source abstract
Abstract
SUMMARY Seawater intrusion is one of the most serious environmental problems in many coastal regions all over the world. Mixing a small quantity of seawater with groundwater makes it unsuitable for use and can result in abandonment of aquifers. Therefore, seawater intrusion should be prevented or at least controlled to protect groundwater resources. This paper presents development and application of a simulation‐optimization model to control seawater intrusion in coastal aquifers using different management scenarios; abstraction of brackish water, recharge of freshwater, and combination of abstraction and recharge. The model is based on the integration of a genetic algorithm optimisation technique and a coupled transient density‐dependent finite element model. The objectives of the management scenarios include determination of the optimal depth, location and abstraction/recharge rates for the wells to minimize the total costs for construction and operation as well as salt concentrations in the aquifer. The developed model is applied to analyze the control of seawater intrusion in a hypothetical confined coastal aquifer. The efficiencies of the three management scenarios are examined and compared. The results show that combination of abstraction and recharge wells is significantly better than using abstraction wells or recharge wells alone as it gives the least cost and least salt concentration in the aquifer. The results from this study would be useful in designing the system of abstraction/recharge wells to control seawater intrusion in coastal aquifers and can be applied in areas where there is a risk of seawater intrusion. Copyright © 2011 John Wiley & Sons, Ltd.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Groundwater flow and contamination studies · Water Systems and Optimization · Groundwater and Isotope Geochemistry
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Computational Geomechanics Group, College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter EX4 4QF UK
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