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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). Team Representatives. Dr Jonathan Williams [email protected] Dr Mitch Hockley

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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)


Team representatives
Team Representatives prediction, and development of advanced decision support systems

  • Dr Jonathan Williams

    • [email protected]

  • Dr Mitch Hockley

    • [email protected]


Development trajectory
Development Trajectory prediction, and development of advanced decision support systems

  • i-MARQ project (2002-2005)

    • EU RTD project funded under IST prog.

  • ICReW PA4 Pilot (2004-2006)

    • Part of Interreg IIIB project

  • [email protected] project (2006-2009)?

    • Integrated Project proposed to IST Risk Management call, Sept 05


Why was i marq needed
Why was i-MARQ needed? prediction, and development of advanced decision support systems

  • i-MARQ developed water quality management tools needed to help address this challenge

“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 decision support
i-MARQ Decision Support prediction, and development of advanced decision support systems

Decision

Visualisation

Data Management

FME

Data Fusion

Ecosystem Models


I marq challenges
i-MARQ Challenges prediction, and development of advanced decision support systems

  • 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
System Schematic prediction, and development of advanced decision support systems

User

User

FME

GIS

FME server

GIS server

Internet & messaging

WWW portals

Meta IS

Provider server

Provider server

Sensors


Updated fme nowcast for 22 nd june 16 00 available 20 minutes after data entry
Updated FME nowcast for 22 prediction, and development of advanced decision support systemsnd June 16:00(available 20 minutes after data entry)


Updated 12hrs forecast for 22 nd june 16 00
Updated +12hrs forecast for 22 prediction, and development of advanced decision support systemsnd June 16:00


Updated 24hrs forecast for 22 nd june 16 00
Updated +24hrs forecast for 22 prediction, and development of advanced decision support systemsnd June 16:00


Icrew context of project
ICReW Context of Project prediction, and development of advanced decision support systems

  • 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
Project Objectives prediction, and development of advanced decision support systems

  • 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

Insert BMT slides here prediction, and development of advanced decision support systems


S@ny proposal
[email protected] Proposal prediction, and development of advanced decision support systems

  • 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


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