ABSTRACT
We presented a prototype of an operative air quality modelling system for Helsinki region that utilizes measurement data of variable quality (stations and sensors). The system continuously taps into various sources of real-time activity data to support the modelling. Being an updated version of FMI-Enfuser and developed during UIA-HOPE project we refer to this new modelling system as HOPE-Enfuser. Using public cloud storage, the modelling output is freely accessible for 3rd party applications. This is also the first time when we provide modelled Lung Deposited Surface Area (LDSA), and black carbon (BC) concentration predictions with our modelling system. For shipping, we present a novel near-real-time approach for the dynamic modelling of shipping emissions. HOPE-Enfuser uses data fusion to adjust the modelling and learn from the measurement evidence. The Covid-19 pandemic caused disruptions in the behavior of people and in the patterns of local emission sources. In this paper we will also discuss how these disruptions were perceived and captured by the model. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.