Optimized Combined Sampling Method (OCSM) for Enhancing Precision in Surrogate Models for Parameter Inversion in Groundwater Modeling

This repository contains the code for the Optimized Combined Sampling Method (OCSM) introduced in the paper "Enhancing Precision in Surrogate Models through Novel Combined Sampling Strategies for Parameter Inversion in Groundwater Modeling". OCSM is designed to improve the precision of surrogate models used in parameter inversion for groundwater modeling, while reducing computational costs.

Overview

The Optimized Combined Sampling Method (OCSM) improves the accuracy and efficiency of surrogate models for groundwater modeling by optimizing the sampling strategy. This approach combines different sampling techniques to enhance precision in parameter inversion tasks.

Requirements

• Python 3.x
• Required libraries (listed in requirements.txt)

To install dependencies, run:

pip install -r requirements.txt