Explainable Artificial Intelligence in Hydrology: A Review

Key Points

• Explainable artificial intelligence improves transparency in machine learning applications for hydrology.
• Machine learning algorithms were analyzed to understand their decision-making processes in water resource management.
• Reviewing various case studies highlighted effective data analysis techniques employed in hydrological predictions.
• The findings suggest that integrating explainable AI could enhance decision-making in hydrological studies.