[HTML][HTML] Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …

MG Uddin, A Rahman, FR Taghikhah, AI Olbert - Water Research, 2024 - Elsevier
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …

[HTML][HTML] Groundwater level prediction with machine learning to support sustainable irrigation in water scarcity regions

W Li, MM Finsa, KB Laskey, P Houser, R Douglas-Bate - Water, 2023 - mdpi.com
Predicting groundwater levels is challenging, especially in regions of water scarcity where
data availability is often limited. However, these regions have substantial water needs and …

[HTML][HTML] Uncertainty in Environmental Micropollutant Modeling

H Ahkola, N Kotamäki, E Siivola, J Tiira… - Environmental …, 2024 - Springer
Water pollution policies have been enacted across the globe to minimize the environmental
risks posed by micropollutants (MPs). For regulative institutions to be able to ensure the …

Transformative Potential of AI and Remote Sensing in Sustainable Groundwater Management

D Singh, V Sharma - Proceedings of International Conference on Recent …, 2023 - Springer
Groundwater is a critical global resource. Over-exploitation, contamination risks, and climate
change are major threats for sustainability of groundwater. Historically, groundwater …

Comparative estimation of a random error component of automatic well level gauges based on processing measurements of earth-tidal level of groundwater

ТЮ Заведий, НР Адонин, ОН Кокорев… - Bulletin of the Tomsk …, 2024 - izvestiya.tpu.ru
Актуальность. Внедрение автономных цифровых уровнемеров позволяет существенно
расширить спектр задач, решаемых в различных областях геологии и экологии: с …