Abstract
This project focuses on the condition of surface water in urban areas, an important aspect of smart cities. Water quality monitoring has an important role in health and environmental management. This study aims at creating a prediction model for water quality based on real-time data which will help policy and decision makers.
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CITATION STYLE
Coraggio, E., Han, D., Liu, W., & Tryfonas, T. (2019). HYDROINFORMATICS OF SMART CITIES: REAL-TIME WATER QUALITY MONITORING AND PREDICTION. In Proceedings of the IAHR World Congress (pp. 6234–6237). International Association for Hydro-Environment Engineering and Research. https://doi.org/10.3850/38WC092019-1868
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