A team of researchers led by Dr. Son Moon at the Korea Institute of Science and Technology (KIST) has developed an artificial intelligence technology that can accurately predict ion concentration in water, a crucial step towards improving social water welfare. This breakthrough is significant as approximately 2.2 billion people worldwide lack access to safe drinking water, with half experiencing severe water scarcity at some point during the year. The researchers utilized machine learning techniques, specifically random forest models, to predict ion concentrations in electrochemical water treatment processes. Their model was able to accurately predict electrical conductivity and individual ion concentrations (Na⁺, K⁺, Ca2⁺, and Cl-) with an R² value of approximately 0.9. This technology has the potential to be applied to national large-scale automatic water quality measurement networks, enabling real-time monitoring of specific ions in water. The research was supported by the Ministry of Science and ICT and published in the international journal Water Research.
↧