Air Quality Modelling Tools (Aberdeen Pilot Project) Dr. Alan Hills, SEPA
Post on 18-Jul-2015
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• Discuss the Influence of Data Analysis/Visualisation & Modelling on:
• Problem Solving
• Decision Making and Risk Assessment in SEPA
• Provide Examples of Data Analysis/Visualisation currently used in
Urban Air Quality work.
• Provide Examples of Data Analysis/Visualisation & Modelling tools
being developed by SEPA during a Pilot Project in Aberdeen City
including:
• Traffic Data
• Air Quality Data
• Air Modelling Output
• Present Conclusions and Outline Future Work
• Acknowledgements
Presentation Structure
• Key Points (Malcolm Sparrow Training)
• Define the problem to be solved.
• Gather all available data/information and analyse/visualise.
• Identify critical data and address uncertainty.
• Turn data into information.
• Key Points OceanMet Implementation
• Data and modelling offer complimentary perspectives on the
problem.
• Data and modelling can feed each other, further refining
problem analysis.
• Data and Modelling are uncertain and imperfect and this must
be managed.
• Modelling is good for looking at system behaviour.
• Important features in data not displayed in modelling.
Problem Solving
Data Analysis/Visualisation
Modelling
• Decision Support – Understand/Protect/Improve Environment
• Estimate Risks and Uncertainties – Explain to Non-Experts
• Modelling/Data Advice Services – Guidance Online
• Key Role in Assessing Third Party Modelling – Methods/Data
• Historical Emphasis on Point Sources and Emergency
Planning
• Aberdeen Pilot Project Undertaken to:
• Develop Urban Air Quality Modelling Capability
• Translate experience in other topics to Urban Air Quality
• Particularly Modelling and Data Analysis/Visualisation
Modelling & Data Vis./Analysis - SEPA
£ vs. Risk
SEPA ESIU Informatics Hub
(ESIU – Environmental & Spatial Informatics Unit)
TIBCO – Spotfire, S+ Also R
SEPA ESIU Informatics Hub
(Water Framework Directive Dashboard)
Web Based Interactive Data Analysis/Visualisation
Traffic Flow: Car Traffic Flow: Bus
Aberdeen Pilot Project – Traffic Count Data
(Interactive Analysis)
• Interactive Data Analysis and Visualisation is now more efficient and
output is easier to share with new Software Packages.
• Data/Modelling may be more easily turned into Information and
shared with a large audience over the Web.
• Interactive Tools have the potential to yield new insights into data or
modelling output, promoting better understanding.
• Efficient comparison of modelling and data may allow better
management of uncertainty.
• Potential for interactive tools to allow Scenario Testing, prior to
detailed studies.
• Standardised Data Collection/Processing may make it easier to
compare different studies.
• Could this approach compliment or replace “static” reporting?
Conclusions
• Seek feedback on initial Prototypes and refine further.
• Generate additional Prototypes and populate with more developed
modelling.
• R&D on the statistical analysis of modelling output – Prof. Marian
Scott – Glasgow University.
• Examine Feasibility of “Unit Release” Scenario Testing Approach.
• Report on Pilot Aberdeen Pilot study and contribute to a
Data/Modelling Framework.
• Further Develop Complex Air Modelling Tools – CFD and MISKAM.
• Continue to work with Key Partners and Develop new Contacts
within the Community. Particularly on Emission Estimates.
Future Work
• Aberdeen City Council (Aileen Brodie), Transport Scotland (Drew
Hill), Glasgow City Council (Dominic Callaghan).
• SEPA Airmod Group (Alan McDonald, Andrew Malby, Eddy Barratt,
Fraser Gemmell)
• SEPA Colleagues (Colin Gillespie, Colin Gray, Mark Hallard, ESIU)
• Michael Glotz-Richter - Senior project manager 'sustainable
mobility‘ – Bremen City
• Scottish Urban Air Quality Steering Group
• AECOM, SiAS, IBI Group
• THANK YOU
Acknowledgements
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