Water quality has become a significant problem for businesses, governments, farms, and environmental groups all over the ...

As an important hydrological parameter, dissolved oxygen (DO) concentration is a well-accepted indicator of water quality. This study deals with introducing and evaluating four novel integrative ...

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

River water quality data are essential for managing surface water resources and protecting terrestrial-aquatic ecosystems. While the number of compiled global river water quality datasets is growing, ...