ICT for Smart Water Systems: Measurements and Data Science

Data science trends and opportunities for smart water utilities.- Review of Techniques for Optimal Placement of Pressure and Flow Sensors for Leak/Burst Detection and Localisation in Water Distribution Systems.- A bird's-eye view of data validation in the drinking water industry of The Netherlands.-Monitoring and controlling a smarter wastewater treatment system: a UK perspective.- Using Radial Basis Function for Water Quality Events Classification.- Promoting Smart Water Systems in Developing Countries through Innovation Partnerships: Evidence from VIA Water-supported projects in Africa.- Exploring assimilation of  Crowdsourcing Observations into Flood Models.- Precipitation measurement with weather radar.- Satellite Remote Sensing of Soil Moisture for Hydrological Applications: A Review of Issues to Be Solved.- Spectroscopic Methods for Online Water Quality Monitoring.- Quartz-Crystal Microbalance sensors: new tools for the assessment of organic threats to the quality of water.

Dr. Andrea Scozzari, PhD in Information Engineering, is research scientist with the Italian National Research Council since 2002, after ten years of industrial experience. Formerly with the Institute of Geosciences and Earth Resources (CNR-IGG), now works with the Institute of Information Science and technologies (CNR-ISTI). His main research activities are in the field of data and signal processing for the observation of the environment. The most recent scientific interests regard: i) satellite radar altimetry and optical radiometry for the observation of inland and coastal water bodies; ii) data-driven modelling of groundwater flow and transport phenomena; iii) monitoring of critical sites and infrastructures at environmental risk. He's also been co-organiser and Committee member of various water-related events in the MENA region. Andrea holds a course in "Environmental remote sensing systems" at the University of Pisa (Italy) and has been member of the PhD board in "RemoteSensing" at the University of Pisa for six years.

Dr. Steve Mounce is a Visiting Research Fellow in Hydroinformatics in the Civil Engineering Department at the University of Sheffield. His PhD is in Computer Science and he has over twenty years of experience on research projects with over 100 academic publications. His research combines Artificial Intelligence and Water Engineering for such applications as leakage (including smart meters), CSO analytics, water quality and burst event detection systems, fuzzy RTC, data mining and case based reasoning. He is still an active software developer and his Award winning Artificial Intelligence based automated analysis research software was commercialised as FlowSure by Servelec Technologies. Steve is the Director of the start-up Mounce HydroSmart Ltd.Dr. Dawei Han is professor of Hydroinformatics from Department of Civil Engineering, University of Bristol. His research interests include hydrological modelling, Real-time