Professional course Air Quality Dispersion Modelling
Page last updated 2 April 2020
The Air Quality Management Resource Centre (AQMRC) in the Department of Geography and Environmental Management is pleased to offer a new suite of Air Quality short courses. This new suite consists of five one day courses covering the following topics:
- Air Quality Management
- Air Quality Monitoring
- Air Quality Dispersion Modelling
- Air Quality and Development Control
- Air Quality Action Planning
Individuals are invited to book on as many or few of the days as they wish. If you wish to book onto All 5 Days please see 'How to Apply', below, for the online Booking Form.
"I can use what I learnt all week to improve my Councils' AQ arrangements, write accurate review and assessment reports, review 3rd party reports and attract developer contributions to air quality via CIL and S106." Mike Jephcott, Senior Environmental Health Officer
What does it cover?
This course provides an understanding of the theory and practice of using dispersion models to replicate the behaviour of pollution in the atmosphere. The course will explain the rationale behind air quality modelling using examples of particular models to describe the ways in which they are used and highlight some of the potential limitations and problems associated with them.
The course also provides a basic introduction to model input data, the basic principles and assumptions involved and the concepts of model validation, verification and adjustment, including worked examples of a modelling scenario in ADMS-Roads and the verification and adjustment process.
This course would be of value to anyone interested or involved in the use of local-scale atmospheric dispersion modelling.
Who is it for?
"I would like to use this opportunity to thank your team for the amazing course on AQ Modelling at UWE. I have found its content really useful and really enjoyed the afternoon session where we were allowed to play with the ADMS Roads Model and test different scenarios." Pedro Rocha e Abreu, Air Quality Officer (MIAQM), Oxford City Council
The courses will be of interest to practitioners and policy makers involved in air quality management in:
- Environmental health/protection
- Public health
- Land-use planning
This course will cover the following areas:
- Rationale for Air Quality Modelling
- Types of models and their uses
- Monitoring strategies for Local Air Quality Management
- Model input data
- Principles and assumptions
- Modelling scenarios
- Model validation, verification and adjustment
- Data validation and ratification
UWE CPD certificates are available on completion (CPD 5hrs p/day), which participants can then present to IES.
UWE Bristol is superbly equipped with libraries, computer labs and an excellent campus environment.
Find out more about the facilities and resources UWE has to offer.
Prices and dates
Supplementary fee information
Please see the tables below for current dates, fees and discounts available. All prices are VAT exempt.
|Day||Wednesday 29 July 2020|
|Full Day Fee||£200|
|Payment Deadline||22 July 2020|
|Early Bird Fee||£180|
|Payment Deadline||03 June 2020|
Fees include refreshments, lunch and parking permits at UWE Frenchay Campus
UWE Frenchay Campus: Coldharbour Lane, Bristol BS16 1QY
How to apply
How to apply
To make a full or provisional booking for this course, please complete the relevant online booking form below:
|Wednesday 29 July 2020||Book Now||Enquiry Now|
|All 5 Days (27 to 31 July 2020)*||Book Now|
*Fee for All 5 Days is £1000. 10% Early Bird Discount (£900) available if the booking and payment are made before the Early Bird deadline for the first day of each cohort.
For further information
- Email: For any questions in relation to the course, i.e. content, suitability, assessments, etc. please contact the Programme Leader, Dr Jo Barnes (Jo.Barnes@uwe.ac.uk). For all queries regarding administration aspects of registration, i.e. dates, fees, etc. please contact us using the online enquiry form link or phone number below.
- Telephone: +44 (0)117 32 86927