The objective of this paper was to understand whether a larger dataset of projects could be used to guide how the design and implementation of nearfield, near real-time and predictive air quality modelling and management systems can be further improved.
This paper analyses trends in design and use of real-time and predictive systems for air quality management over the last 12 years from anonymised data from Envirosuite’s ongoing projects in this area, 102 projects in total.
Projects were categorised in one of three ways as follows:
Air quality/meteorological modelling and forecasting
Emission source identification modelling
Rapid analysis of ambient air quality monitoring data