Rapid and robust air quality and dispersion modelling software

Find out more

RapidAir® is a ground-breaking air quality dispersion modelling software that uses optimised methodologies to provide you with the ability to visualise air quality at high resolution, and to test the impact of development or mitigation scenarios in minutes. 

RapidAir's independent scientifically peer-review air quality dispersion model, has been used extensively to map local and regional air quality around the world, including Beijing, Cardiff, Derby, Fife, Jinan, London, Perth & Kinross and Southampton.

RapidAir enables city-scale air quality levels, including complex domains such as mega-cities, to be calculated and updated within a matter of minutes. The solution enables policy options to be developed, tested and refined with more speed and responsiveness than ever before.

RapidAir capability       Modelling support        Request a demo       Papers and presentations

RapidAir capability

Air quality modelling expertise

In addition to the RapidAir solution, Ricardo also has a team of over 30 air quality modelling specialists who have supported organisations around the world, including designing, managing and operating the UK’s Air Quality Forecasting system for over 10 years.  If you need additional support with your air quality modelling and analysis, then Ricardo's expert air quality team is able to support you. 

Our team are experienced in using and developing models from a wide range of systems including RapidAir, AERMOD, AERMET, CMAQ, CALPUFF, MAAQ/Pollution Climate Model (Ricardo’s bespoke model for UK-wide air quality), ADMS 5, ADMS Roads and WRF.

Contact us or request a demo

For further information about RapidAir® or if you are interested in a demonstration of the software, please complete the form below and one of our air quality modelling specialists will be in touch.

Please tick the boxes below if you give consent for Ricardo to contact you with additional information on our services, products or events. Your information will be stored on our secure systems, will not be shared with 3rd parties, click here for Ricardo’s privacy notice.

Papers and presentations

RapidAir has been presented at numerous technical conferences, and several peer-reviewed journals have been prepared to document its development and testing.   A small selection of these are listed below:

High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets.​ 
Yang, D., Zhang, S., Niu, T., Wang, Y., Xu, H., Zhang, K. and Wu, Y. (2019).

Python as a data science platform for air quality studies. Click link to read.
Lewin, A., Hamilton, S. and Masey, N. (2018).

Development and validation of a rapid urban scale dispersion modelling platform. Click link to read.
Hamilton, S., Masey, N. and Beverland, I. (2017)

Development and evaluation of the RapidAir dispersion model, including the use of geospatial surrogates to represent street canyon effects.
Masey, N., Hamilton, S. and Beverland, I. (2018).

RapidAIR- a new urban dispersion modelling platform for air quality analysis in cities. Click link to read.
Hamilton, S., Masey, N., Niu, T. and Carslaw, D. (2018).