Fondazione GRINS
Growing Resilient,
Inclusive and Sustainable
Galleria Ugo Bassi 1, 40121, Bologna, IT
C.F/P.IVA 91451720378
Finanziato dal Piano Nazionale di Ripresa e Resilienza (PNRR), Missione 4 (Infrastruttura e ricerca), Componente 2 (Dalla Ricerca all’Impresa), Investimento 1.3 (Partnership Estese), Tematica 9 (Sostenibilità economica e finanziaria di sistemi e territori).
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This article proposes three spatial statistics approaches for estimating the distribution of concentrations in Lombardy, enabling the construction of exceedance probability maps to support regulatory risk assessment beyond mean-based summaries. By relying on daily concentration data, the analysis explores how different statistical paradigms and input resolutions influence spatial predictions. The obtained results show that the considered distributional approaches offer flexible tools for characterizing pollution variability, supporting robust assessments of environmental risk and guiding air quality management strategies.
AKNOWLEDGEMENTS
This study was funded by the European Union - NextGenerationEU, in the framework of the GRINS - Growing Resilient, INclusive and Sustainable project (GRINS PE00000018). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them.
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