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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)
Development Trajectory
i-MARQ project (2002-2005)• EU RTD project funded under IST
prog.
ICReW PA4 Pilot (2004-2006)• Part of Interreg IIIB project
S@NY project (2006-2009)?• Integrated Project proposed to IST
Risk Management call, Sept 05
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
i-MARQ developed water quality management tools needed to help address this challenge
FME
i-MARQ Decision Support
Data Management
Data Management
Data Fusion
Data Fusion
Ecosystem Models
Ecosystem Models
VisualisationVisualisation
Decision
i-MARQ Challenges
Need to forecast water quality• Data mostly not real-time
Non-homogeneous data resource• Spatially rich, temporally sparse• Temporally rich, spatially sparse• Poor data quality for some key parameters
Lagrangian frame• Pollution features move with tides &
currents• Asynchronous observations
System Schematic
Provider server
Internet &
messaging
Internet &
messaging
Sensors
Sensors
Meta IS
FME server
GIS server
UserFME GIS
Provider server
WWW portals
WWW portals
User
Updated FME nowcast for 22nd June 16:00(available 20 minutes after data entry)
Updated +12hrs forecast for 22nd June 16:00
Updated +24hrs forecast for 22nd June 16:00
ICReW Context of Project
One pilot action with larger Interreg project, ICReW• Development of Methods for Prediction
of Bathing Water Quality
Managed by MTS, system development by BMT Cordah
Real application of key technologies:• Temporal fusion from i-MARQ• Spatial distribution from BMT models
Project Objectives
Develop a system which can:• Forecast the risk of adverse water
quality in recreational waters• Indicate the profile & trajectory of
contaminated waters
Pilot the system:• Compare forecasts against actual
observations (2005)
Insert BMT slides here
S@NY Proposal
Generic framework for:• Sensor networks (standardised interfaces)• Data management• Decision support systems
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
Plug & play approach with specialist fusion modules
