Water, Год журнала: 2025, Номер 17(7), С. 936 - 936

Опубликована: Март 23, 2025

Groundwater, which constitutes 95% of the world’s freshwater resources, is widely used for drinking and domestic water supply, agricultural irrigation, energy production, bottled commercial use. In recent years, due to pressures from climate change excessive urbanization, a noticeable decline in groundwater levels has been observed, particularly arid semi-arid regions. The corresponding changes have analyzed using diverse range methodologies, including data-driven modeling techniques. Recent evidence shown notable acceleration utilization such advanced techniques, demonstrating significant attention by research community. Therefore, major aim present study conduct bibliometric analysis investigate application evolution machine learning (ML) techniques research. this sense, studies published between 2000 2023 were examined terms scientific productivity, collaboration networks, themes, methods. findings revealed that ML offer high accuracy predictive capacity, especially quality, level estimation, pollution modeling. United States, China, Iran stand out as leading countries emphasizing strategic importance management. However, outcomes demonstrated low international cooperation led deficiencies solving transboundary problems. aimed encourage more widespread effective use management environmental planning processes drew transparent interpretable algorithms, with potential yield rewarding opportunities increasing adoption technologies decision-makers.

Язык: Английский