Developing a new modelling tool that will model emissions from road traffic. A pilot study is focusing on the situation in Aberdeen.

1. Air Quality Modelling Tools (Aberdeen Pilot Project)
Dr Alan Hills - Unit Manager – OceanMet

2. •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

3. •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

4. •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

5. Modelling & Data Vis./Analysis – Example Bremen

6. Modelling & Data Vis./Analysis – Example Bremen

7. Modelling & Data Vis./Analysis – Example Netherlands

8. SEPA ESIU Informatics Hub
(ESIU – Environmental & Spatial Informatics Unit)
TIBCO – Spotfire, S+ Also R

9. SEPA ESIU Informatics Hub
(Water Framework Directive Dashboard)
Web Based Interactive Data Analysis/Visualisation

10. Traffic Flow: Car
Traffic Flow: Bus
Aberdeen Pilot Project – Traffic Count Data (Interactive Analysis)

11. Aberdeen Pilot Project – Traffic Flow Data (Interactive Analysis)

12. Aberdeen Pilot Project – Air Quality Data (Interactive Analysis)

13. Aberdeen Pilot Project – Air Quality & Met. Data (Interactive Analysis)

14. Aberdeen Pilot Project – Modelling Output
(Interactive Analysis)

15. Aberdeen Pilot Project – Modelling Input/Output
(Interactive Analysis)

16. Aberdeen Pilot Project – Modelling Input/Output
(Interactive Analysis)

17. Aberdeen Pilot Project – Complex Modelling
(Computational Fluid Dynamics - CFD)

18. Aberdeen Pilot Project – Complex Modelling (MISKAM)

19. •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

20. •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

21. •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

22. Modelling & Data Vis./Analysis – Example Bremen