ASINA Dataset: LC2_σ_Model CoU

The dataset builds on monitoring data including size distribution data such as differential number concentration (dN/dLog10(Dpi)), which tracks particle concentration per logarithmic size interval, and differential mass concentration (dm/dLog10(Dpi)). Emission rate determined through a mass flow model from referenced equations and modelled concentrations reflect simulated NM levels based on process parameters and environmental conditions, while simulated exposure levels estimate NM dispersion under various operational conditions based on reasonable worst-case scenarios. Finally, the Burden of Disease (BoD) concept was developed by using FF air emission data to model emission factors and rates (Koivisto et al. 2022, Koivisto et al. 2022a). To estimate population inhalation exposure and BoD, a multi-tier air emission assessment was developed, integrating monitoring campaigns and a bi-Gaussian plume model (IMPACT - Immission Prognosis Air Concentration Tool). The metadata folder includes the article and its supplementary materials.