WATER QUALITY MONITORING AND FORECASTING SYSTEM

Abstract

Water quality has become a major concern across the world due to rapid industrialization, urban expansion, agricultural activities, and the improper disposal of waste materials into natural water bodies. The increasing contamination of rivers, lakes, reservoirs, and groundwater sources directly affects human health, aquatic ecosystems, agriculture, and overall environmental sustainability. Traditional methods of monitoring water quality often require manual sample collection and laboratory analysis, which consume significant time, labor, and financial resources. These conventional approaches are not always capable of providing real-time predictions or early warnings regarding changes in water quality conditions. Therefore, the integration of intelligent technologies into environmental monitoring systems has become essential for improving the efficiency and accuracy of water quality assessment