Global Air Quality Modelling Suite
MappAir® is a high-resolution global model of air pollution that uses advanced modelling techniques, cloud-based data inputs including transport and weather data and applies machine learning technologies to create reliable and usable visualisations of air pollution around the world.
It allows users to understand key emission sources within an area of interest, complete with near real-time, historic and predicative air quality data for detailed and actionable insight into pollution trends.
MappAir's data accuracy is within and compliant with the limits outlined within The Air Quality Directive (2008/50/EC) guidelines.
Past, present & predictive
air quality data for a host of sectors
Transport & Traffic Management
Integrate MappAir® data into traffic management systems to assess the affect of congestion on air quality. Dynamically manage congestion to help evidence and reduce tailpipe emissions.
Construction & Planning
Understanding how methods of working and new developments are affecting workers and the local air quality over time. Use data to evidence new planning strategies.
Schools & Communities
Review annual averaged data to see the impact of pollution on children's health and pinpoint concentrations for individual postcodes including schools
Integrate MappAir® into an existing IoT system for smarter, cleaner and connected cities or create a digital twin for your city complete with air pollution data with seamless integration.
Real-time decision making through accurate, high resolution data
Forecast pollution data to inform the vulnerable, issue road closures & control traffic.
MappAir® Modelling Suite
Global Model >
Worldwide coverage of ambient air pollution utilising the industry leading Copernicus satellite service. Understand economic, cultural, & environmental factors affecting air quality for whole continents to help drive legislation.
Understand regional dispersion events, notify public of pollution forecasts, drive behavioural change and integrate air quality information into fitness tracking and routing applications.
National Model >
Covers the UK mainland in 100 x 100msq resolution and utilises a number of third-party data sources, including real-time traffic data from Highways England and national weather models from the Met Office. We provide the highest resolution, highest accuracy model that is commercially available and compliant with The Air Quality Directive (2008/50/EC).
Set triggers for health interventions, identify sources of pollution, assess pollution-lowering strategies and understand pollution trends over time.
City & Reactive Models >
High resolution city and reactive models for cities up to 2m spatial resolution with CFD and land use regression capabilities. Gain a detailed view of how pollution moves around cities, sources and hotspot areas for real-time decision making.
Scenario planning, Dynamically manage traffic, issue signals to motorists and residents, evidence the success of interventions and integrate data into clean routing applications.
Advanced Modelling Techniques
Using Computational Fluid Dynamics (CFD) to model the flow and dispersion of ambient air pollution around buildings to help understand how local infrastructure affects air quality.
Near Real-time Pollution Data
Identify pollution hotspots and episodes at peak times as they happen for busy road junctions and whole towns and cities.
Hyper-local Annual Averages
Correlate the effects of air quality over time with other parameters on a national scale - such as hospital admission rates, social deprivation, school attendance rates and footfall. Our annual averaged data dates back to 2014.
Worldwide coverage of ambient air pollution utilising the industry leading Copernicus satellite service in near real-time and 72-hour forecast. We can also create high resolution pollution models for anywhere in the world.
Integrate MappAir® data using an Application Programming Interface (API) into applications including website, mobile and third-party software solutions for smart cities, digital twins and transport.
72-hour Pollution Forecasting
View forecast concentrations and signal upcoming pollution episodes allowing you to protect those vulnerable to respiratory illnesses or alert residents of predictive pollution spikes to drive behavioural change.
Historical Pollution Data
Identify and understand long-term pollution exposure. Use historic data to influence and assess the success of strategic investment decisions and interventions for government, environmental agencies, research and planning.
Integrated Zephyr® Data
The UK national model includes Zephyr® data from the deployed UK network allowing for a richer, more accurate air quality model.