Spatio-Temporal Modeling of Small-Scale Ultrafine Particle Variability Using Generalized Additive Models

High-resolution measurements of ultrafine particle concentrations in ambient air are needed for the study of health human effects of long-term exposure. This work, carried out in the framework of the VIEPI project (Integrated Evaluation of Indoor Particulate Exposure), aims to extend current knowled...

Full description

Saved in:
Bibliographic Details
Published in:Sustainability 2022-01, Vol.14 (1), p.313
Main Authors: Gaeta, Alessandra, Leone, Gianluca, Di Menno di Bucchianico, Alessandro, Cusano, Mariacarmela, Gaddi, Raffaela, Pelliccioni, Armando, Reatini, Maria Antonietta, Di Bernardino, Annalisa, Cattani, Giorgio
Format: Article
Language:English
Subjects:
Dynamics of a particle
Environmental aspects
General linear models
Health aspects
Land use
Measurement
Meteorology
Particle counters
Particles
Radiation counters
Roads & highways
Summer
Sustainability
Traffic
Ultrafines
Urban areas
Variability
Variables
Winter
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:High-resolution measurements of ultrafine particle concentrations in ambient air are needed for the study of health human effects of long-term exposure. This work, carried out in the framework of the VIEPI project (Integrated Evaluation of Indoor Particulate Exposure), aims to extend current knowledge on small-scale spatio-temporal variability of Particle Number Concentration (PNC, considered a proxy of the ultrafine particles) at a local scale domain (1 km × 1 km). PNC measurements were made in the university district of San Lorenzo in Rome using portable condensation particle counters for 7 consecutive days at 21 sites in November 2017 and June 2018. Generalized Additive Models (GAMs) were performed in the area for winter, summer and the overall period. The log-transformed two-hour PNC averages constitute the response variable, and covariates were grouped by urban morphology, land use, traffic and meteorology. Winter PNC values were about twice the summer ones. PNC recorded in the university area were significantly lower than those observed in the external routes. GAMs showed a rather satisfactory result in order to capture the spatial variability, in accordance with those of other previous studies: variances were equal to 71.1, 79.7 and 84%, respectively, for winter, summer and the overall period.
ISSN:2071-1050
2071-1050
DOI:10.3390/su14010313