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Client experience and journey ahead Dr. Stephen Thomson Head of Environment & Sustainability
Knots and problems 
Summary of current position: Data & Monitoring 
Opportunities and challenges 
Stakeholder survey findings 
Introduction to workshop 
Stakeholders
SUAQ: To provide direction for work on Urban Air Quality in Scotland & to drive specific areas of work, associated with LES 
TS 
SG 
HPS 
SEPA 
GCC
Planning 
LES Framework 
Health 
Transport 
Sustainability 
Modelling & Monitoring 
LES working groups
Knots and problems 
We need to create free, robust, integrated and supported AQ decision making tools across scales and sectors
“What’s wrong with the tools that we’ve got” “We don’t have the time or resource” “How can we work together” “Not a simple problem, but its not a unique problem”
Key Stages 
•Define the task. 
•Match task parts with distinctive capabilities of different contributing organisations. 
•Divide and distribute the work. 
•Measure progress. 
“A careful, focused definition of a problem can open the way to novel solutions”.
Summary of current position at a national level (in TS) 
6 models
“We don’t have a single national model that applies to every scale” 
“Appraisal must be proportionate and pragmatic (not unique to AQ)”
“Tool(kit)s is a more reasonable phrase, rather than referring to a national model” 
“Identifying the right levers will drive your data collection”
Queensferry Crossing 
SESTRANS 
at the strategic level 
AWPR
898 Traffic monitoring sites
Roadside AQ monitoring 
No No2 SO2 O3 CO 
aun_no, aqmesh7_no, aqmesh14_no 050100Sep 08Sep 09Sep 10Sep 11Sep 12Sep 13aun_no aqmesh7_no aqmesh14_no
AQ appraisal needs… 
‘It is essential that there are detailed and high quality (1) traffic data available across Scotland, especially in densely populated city centres and surrounding areas.’ LES draft (Nov 14) 
(2) Sum of emissions from vehicles 
(3) dispersion model
Local models 
• 
Perth City Centre 
• 
Dundee 
• 
Aberdeen 
Models are built from various data sources, with analysis from microsimulation
Microsimulation: Scheme based analysis 
• 
Model individual vehicles for 
schemes 
• 
Real time information 
• 
Complex metrics 
• 
Realistic analysis 
• 
Post processing using AIRE tool
Origin destination modelling 
• 
What are we trying to model and why? 
• 
Models have specific purpose (ladle vs spoon) 
• 
Grain and scale of model is key 
• 
Models are intrinsically complicated…how to share skills and model assumptions
Opportunities & Challenges 
ACTION: A national air quality modelling methodology will be developed.
‘Essential that LES is supported by modelling, data requirements and decision making, that is undertaken in a consistent manner to the same standards’ 
Opportunities & Challenges
Opportunities & Challenges 
‘…AQAM seeks a standardised approach to modelling air quality at the regional and local scales.’ 
‘…help LA’s to explore possible LEZ scenarios and other effective measures.’ 
‘Modelling the potential effectiveness of the LES measures is a necessary part of the process.’
Opportunities & Challenges 
Good understanding of, and ability to source, traffic data, is essential but perhaps still missing
BEST PRACTICE: How to analyse and present model / data outputs 
GUIDANCE: Outlining essential modelling and data requirements 
TOOLS: Web-based interactive data products 
GUIDANCE: How to deal with modelling uncertainty 
Opportunities & Challenges
Thoughts: AQMM approach... 
MODEL 
Modelling Assessment 
LEZ Framework 
PURPOSE 
National, Scotland-wide, linked to planning decisions, cross- boundary 
Local, area specific, link to AQMA assessment, linked to LEZ scoping 
PROCESS 
AQMA modelling, LATIS, STAG, DPMTAG 
Spotfire and MATlab tools, AIRE 
DATA 
AURN data, NTDS 
Limited proxy data available 
RESOURCE 
Scottish Government, Transport Scotland, SEPA 
Transport Scotland, SEPA, Local Authorities, consultants, urban big data
Stakeholder survey 
Question 
Answer 
Organisations to include? 
Planning, development control, local businesses, operators 
Training needs? 
Dispersion modelling, sensitivity analysis 
Main Challenges? 
Traffic counts, funding, complexity of modelling, stakeholder acceptance 
Other bodies to help? 
Collate and provide transport data, training 
Future key actions 
Training, robust peer review of process 
Governance? 
Regular meetings, clear structure, open up models to scrutiny and peer review, right players, ability to procure specialist skills 
Observations? 
Very little time to acquire and share knowledge (to become aware of AQMM), expert/specialist are key.
Stakeholder survey
Workshop introduction 
• 
clear joint understanding of the tools we have at the moment 
• 
what new decision making tools we need 
• 
resources we have available to deliver these new tools

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Scottish Urban Air Quality Steering Group - Modelling & Monitoring Workshop - Stephen Thomson

  • 1. Client experience and journey ahead Dr. Stephen Thomson Head of Environment & Sustainability
  • 2. Knots and problems Summary of current position: Data & Monitoring Opportunities and challenges Stakeholder survey findings Introduction to workshop Stakeholders
  • 3. SUAQ: To provide direction for work on Urban Air Quality in Scotland & to drive specific areas of work, associated with LES TS SG HPS SEPA GCC
  • 4. Planning LES Framework Health Transport Sustainability Modelling & Monitoring LES working groups
  • 5. Knots and problems We need to create free, robust, integrated and supported AQ decision making tools across scales and sectors
  • 6. “What’s wrong with the tools that we’ve got” “We don’t have the time or resource” “How can we work together” “Not a simple problem, but its not a unique problem”
  • 7. Key Stages •Define the task. •Match task parts with distinctive capabilities of different contributing organisations. •Divide and distribute the work. •Measure progress. “A careful, focused definition of a problem can open the way to novel solutions”.
  • 8. Summary of current position at a national level (in TS) 6 models
  • 9. “We don’t have a single national model that applies to every scale” “Appraisal must be proportionate and pragmatic (not unique to AQ)”
  • 10. “Tool(kit)s is a more reasonable phrase, rather than referring to a national model” “Identifying the right levers will drive your data collection”
  • 11. Queensferry Crossing SESTRANS at the strategic level AWPR
  • 13.
  • 14.
  • 15. Roadside AQ monitoring No No2 SO2 O3 CO aun_no, aqmesh7_no, aqmesh14_no 050100Sep 08Sep 09Sep 10Sep 11Sep 12Sep 13aun_no aqmesh7_no aqmesh14_no
  • 16. AQ appraisal needs… ‘It is essential that there are detailed and high quality (1) traffic data available across Scotland, especially in densely populated city centres and surrounding areas.’ LES draft (Nov 14) (2) Sum of emissions from vehicles (3) dispersion model
  • 17. Local models • Perth City Centre • Dundee • Aberdeen Models are built from various data sources, with analysis from microsimulation
  • 18. Microsimulation: Scheme based analysis • Model individual vehicles for schemes • Real time information • Complex metrics • Realistic analysis • Post processing using AIRE tool
  • 19. Origin destination modelling • What are we trying to model and why? • Models have specific purpose (ladle vs spoon) • Grain and scale of model is key • Models are intrinsically complicated…how to share skills and model assumptions
  • 20. Opportunities & Challenges ACTION: A national air quality modelling methodology will be developed.
  • 21. ‘Essential that LES is supported by modelling, data requirements and decision making, that is undertaken in a consistent manner to the same standards’ Opportunities & Challenges
  • 22. Opportunities & Challenges ‘…AQAM seeks a standardised approach to modelling air quality at the regional and local scales.’ ‘…help LA’s to explore possible LEZ scenarios and other effective measures.’ ‘Modelling the potential effectiveness of the LES measures is a necessary part of the process.’
  • 23. Opportunities & Challenges Good understanding of, and ability to source, traffic data, is essential but perhaps still missing
  • 24. BEST PRACTICE: How to analyse and present model / data outputs GUIDANCE: Outlining essential modelling and data requirements TOOLS: Web-based interactive data products GUIDANCE: How to deal with modelling uncertainty Opportunities & Challenges
  • 25. Thoughts: AQMM approach... MODEL Modelling Assessment LEZ Framework PURPOSE National, Scotland-wide, linked to planning decisions, cross- boundary Local, area specific, link to AQMA assessment, linked to LEZ scoping PROCESS AQMA modelling, LATIS, STAG, DPMTAG Spotfire and MATlab tools, AIRE DATA AURN data, NTDS Limited proxy data available RESOURCE Scottish Government, Transport Scotland, SEPA Transport Scotland, SEPA, Local Authorities, consultants, urban big data
  • 26. Stakeholder survey Question Answer Organisations to include? Planning, development control, local businesses, operators Training needs? Dispersion modelling, sensitivity analysis Main Challenges? Traffic counts, funding, complexity of modelling, stakeholder acceptance Other bodies to help? Collate and provide transport data, training Future key actions Training, robust peer review of process Governance? Regular meetings, clear structure, open up models to scrutiny and peer review, right players, ability to procure specialist skills Observations? Very little time to acquire and share knowledge (to become aware of AQMM), expert/specialist are key.
  • 28. Workshop introduction • clear joint understanding of the tools we have at the moment • what new decision making tools we need • resources we have available to deliver these new tools