Outdoor air and health: an integrated atlas to support decision-making and research for healthier, more inclusive, safer, more resilient, and sustainable environments
ISPRA collaborates with DEP Lazio as a subcontractor, under an agreement aimed at technical and scientific cooperation between the parties for the development of modeling activities. These include the processing of input variables, model development, validation, sensitivity analysis, and annual updating of empirical models for estimating daily ground-level concentrations of PM10, PM2.5, NO₂, and O₃ at high spatial and temporal resolution, as well as the development of indicators of population exposure. These estimates are essential for evaluative studies on the health effects of air pollution. A sensitivity analysis of spatiotemporal models for estimating daily concentrations of NO₂ and particulate matter (PM2.5 and PM10) across Italy was carried out using a 1 km² spatial grid resolution and a reference dataset consisting of daily data. Within this framework, different processing models were compared and their respective performance evaluated, enabling more reliable exposure estimates. The activities will continue in 2026 with the updating of estimates to the most recent year for which input data are available, as well as with the collection, processing, and organization into a database of data and metadata related to non-conventional pollutants and particulate matter characterization monitored in Italy from 2013 onwards.
https://www.isprambiente.gov.it/en/projects/environment-and-health/outdoor-air-and-health-an-integrated-atlas-to-support-decision-making-and-research-for-healthier-more-inclusive-safer-more-resilient-and-sustainable-environments
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Outdoor air and health: an integrated atlas to support decision-making and research for healthier, more inclusive, safer, more resilient, and sustainable environments
ISPRA collaborates with DEP Lazio as a subcontractor, under an agreement aimed at technical and scientific cooperation between the parties for the development of modeling activities. These include the processing of input variables, model development, validation, sensitivity analysis, and annual updating of empirical models for estimating daily ground-level concentrations of PM10, PM2.5, NO₂, and O₃ at high spatial and temporal resolution, as well as the development of indicators of population exposure. These estimates are essential for evaluative studies on the health effects of air pollution.
A sensitivity analysis of spatiotemporal models for estimating daily concentrations of NO₂ and particulate matter (PM2.5 and PM10) across Italy was carried out using a 1 km² spatial grid resolution and a reference dataset consisting of daily data.
Within this framework, different processing models were compared and their respective performance evaluated, enabling more reliable exposure estimates. The activities will continue in 2026 with the updating of estimates to the most recent year for which input data are available, as well as with the collection, processing, and organization into a database of data and metadata related to non-conventional pollutants and particulate matter characterization monitored in Italy from 2013 onwards.
