Multiobjective optimization of the groundwater exploitation layout in coastal areas based on multiple surrogate...

Area of Science:

• Hydrogeology
• Environmental Engineering
• Computational Science

Background:

• Seawater intrusion is a critical issue in coastal regions, threatening freshwater resources.
• Effective groundwater management is essential to balance exploitation and minimize saltwater intrusion.
• Optimizing groundwater extraction layouts is key to sustainable coastal water management.

Purpose of the Study:

• To propose an optimization method for groundwater exploitation layouts in coastal areas.
• To develop a multiobjective groundwater management model balancing exploitation and intrusion.
• To enhance computational efficiency using surrogate models for groundwater simulations.

Main Methods:

• Numerical simulation of variable-density groundwater flow.
• Construction of a multiobjective optimization model.
• Application of nondominated sorted genetic algorithm-II (NSGA-II).
• Development of surrogate models using kriging, support vector regression (SVR), and kernel extreme learning machines (KELM).

Main Results:

• Surrogate models significantly reduce computational time for seawater intrusion management.
• The SVR-based surrogate model demonstrated superior performance.
• The optimized groundwater exploitation layout aligns with actual hydrogeological conditions.

Conclusions:

• The proposed method offers a reliable approach for optimizing groundwater exploitation in coastal zones.
• Surrogate modeling enhances the efficiency of complex groundwater management simulations.
• SVR is an effective technique for developing accurate surrogate models in hydrogeological studies.