The FMI-ENFUSER is a novel air quality model that combines dispersion modelling techniques, information fusion algorithms and statistical approaches. The operational modelling system provides both real-time and forecasted, high resolution information on the urban air quality.
The speciality of the FMI-ENFUSER (The Finnish Meteorological Institute's ENvironmental information FUsion SERvice) is the high utilization of measurement data. By using large quantities of historical measurement data and multivariable regression, the model can be set up without knowledge of local emission. Secondly, the key meteorological parameters and emission output rates can be fine-tuned in real-time so that the modelling output aligns with the measurement evidence as well as possible.
The model has been coupled in real time with the regional chemical transport model (SILAM), the local AQ monitoring network, and several sources providing meteorological data (HIRLAM, ECMWF). In addition, the model uses high resolution Geographic Information System data (GIS) to describe the local environment with a 5m resolution, including a detailed description of the urban landscape, vegetation and ground elevation. Existing available emission information can also be utilized in the modelling; as an example in Helsinki area, residential heating inventory from local authorities is being used and the local shipping emissions can be taken into account by accessing FMI-STEAM shipping emission data (Figure 1).
The modelling system aims to provide near real-time information on urban air quality with a resolution of 10 to 15m for the hourly concentrations of PM2.5, PM10, NO2 and O3. Additionally, based on these modelled concentrations the Air Quality Index (AQI) is also provided. Since the timeliness of AQ information provided by the system is crucial, the system has been highly optimized and can provide new datasets each hour. An example visualization of the hourly AQI (in a scale of 1 to 5) from the model is shown in Figure 2. In Helsinki area the model data will be made public in the early spring of 2018.
FMI-ENFUSER has been designed to be portable and can be setup in other regions outside of Finland. This due to the fact that the model relies mostly on globally available, open access information apart from the existing measurement network. Outside of Finland the model has been previously setup in China, Langfang and in India, Delhi. However, in these two test sites the model was demonstrated with historical data without real-time capabilities. In the Nanjing Air Quality Testbed project (NAQT, 2017-2020) the ENFUSER will be setup with full operational capabilities, however.
The main product of the modelling system are the high resolution air quality representations that are provided for the selected urban areas. In addition, the modelling system and its output could be utilized further as follows:
The development history of FMI-ENFUSER dates back to the year of 2011. In EU/PESCaDO project a module for environmental information fusion was introduced. Since then, the FMI-ENFUSER has continuously evolved and has been utilized in several projects including CLEEN-MMEA, TEKES-INKA, TEKES-CITYZER, TEKES-NAQT, Smart&Clean-HAQT and the CLIMOB project.
Additional information of the FMI-ENFUSER:
Johansson, L., Epitropou, V., Karatzas, K., Karppinen, A., Wanner, L., Vrochidis, S., Bassoukos, A., Kukkonen, J. and Kompatsiaris I. Fusion of meteorological and air quality data extracted from the web for personalized environmental information services. Environmental Modelling & Software, Elsevier, 64, 143-155. 2015.
Johansson, L., Karppinen, A. and Loven, K., Evaluation of Air Quality Using Dynamic Land-use Regression and Fusion of Environmental Information, Proceedings of the 2nd International Workshop on Environmental Multimedia Retrieval, Pages 33-38, ACM New York, NY, USA, ISBN: 978-1-4503-3558-4 ,2015.
Scientist Lasse Johansson
tel. +358 29 539 2067
fax +358 29 539 5403