| Efficient water management is essential in regions facing persistent imbalances between water supply and demand. The Segura Hydrographic Confederation has developed a digital twin platform integrating Artificial Intelligence (AI) tools for efficient water resource management. This study presents an AI-based water quality monitoring module integrated in this platform, that explores three modeling approaches: ML-based water quality predictions, DL-based forecasting, and surrogate modeling. The study demonstrates that AI-enhanced water quality monitoring can support decision-making processes. |
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