This study provides a comprehensive review of the efforts utilized in the measurement of
water quality parameters (WQPs) with a focus on total dissolved solids (TDS) and total …

High-frequency water quality measurements in streams and rivers have expanded in scope
and sophistication during the last two decades. Existing technology allows in situ automated …

Stream nutrient concentrations exhibit marked temporal variation due to hydrology and other
factors such as the seasonality of biological processes. Many water quality monitoring …

Water quality control and management in water resources are important for providing clean
and safe water to the public. Due to their large area, collection, analysis, and management …

Due to the growing threat of climate change, new advances in water quality monitoring
strategies are needed now more than ever. Reliable and robust monitoring practices can be …

Total dissolved solids (TDS) concentration determination in water bodies is sophisticated,
time-consuming, and involves expensive field sampling and laboratory processes. TDS …

This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …

Anomaly detection (AD) in high-volume environmental data requires one to tackle a series of
challenges associated with the typical low frequency of anomalous events, the broad-range …

Eutrophication continues to be a concerning global water quality issue. Managing and
mitigating harmful algal blooms demands clear information on the conditions promoting …

Eutrophication has re-emerged in the lower Great Lakes basin resulting in critical water
quality issues. Models that accurately predict nutrient loading from streams are needed to …