1. ICREW PA4: regression modelling for bathing water prediction, and development of advanced decision support systems ICREW Modelling Workshop Jonathan Williams (Marinetech South) Mitch Hockley (BMT)

2. Team Representatives n Dr Jonathan Williams jonathan@marinetech.co.uk n Dr Mitch Hockley mitch.hockley@bmtcordah.com

3. Development Trajectory n i-MARQ project (2002-2005) EU RTD project funded under IST prog. n ICReW PA4 Pilot (2004-2006) Part of Interreg IIIB project n S@NY project (2006-2009)? Integrated Project proposed to IST Risk Management call, Sept 05

4. Why was i-MARQ needed? “Our coastal zones are of strategic importance to all Europeans,…[but] are facing serious problems of habitat destruction, water contamination, coastal erosion and resource depletion.” COM/2000/547 to European Parliament n i-MARQ developed water quality management tools needed to help address this challenge

5. FME i-MARQ Decision Support Data Management Data Fusion Ecosystem Models Visualisation Decision

6. i-MARQ Challenges n Need to forecast water quality Data mostly not real-time n Non-homogeneous data resource Spatially rich, temporally sparse Temporally rich, spatially sparse Poor data quality for some key parameters n Lagrangian frame Pollution features move with tides & currents Asynchronous observations

7. System Schematic Provider server Internet & messaging Sensors Meta IS FME server GIS server User FMEGIS Provider server WWW portals User

8. Updated FME nowcast for 22 nd June 16:00 (available 20 minutes after data entry)

9. Updated +12hrs forecast for 22 nd June 16:00

10. Updated +24hrs forecast for 22 nd June 16:00

11. ICReW Context of Project n One pilot action with larger Interreg project, ICReW Development of Methods for Prediction of Bathing Water Quality n Managed by MTS, system development by BMT Cordah n Real application of key technologies: Temporal fusion from i-MARQ Spatial distribution from BMT models

12. Project Objectives n Develop a system which can: Forecast the risk of adverse water quality in recreational waters Indicate the profile & trajectory of contaminated waters n Pilot the system: Compare forecasts against actual observations (2005)

13. Insert BMT slides here

14. S@NY Proposal n Generic framework for: Sensor networks (standardised interfaces) Data management Decision support systems n Will allow cost-effective building of decision support systems and their driving data resources: Marine – beach & coastal zone management etc Atmospheric – urban air quality etc n Plug & play approach with specialist fusion modules