Titre :

Use of multivariate time series techniques to estimate the impact of particulate matter on the perceived annoyance

Auteur(s) :

Machado, Milena [Auteur]
Federal Institute of Education, Science and Technology of Espírito Santo [IFES]
Reisen, Valdério [Auteur]
Santos, Jane Meri [Auteur]
Universidade Federal do Espirito Santo [UFES]
Reis Júnior, Neyval Costa [Auteur]
Universidade Federal do Espirito Santo [UFES]
Frere, Severine [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Territoires, Villes, Environnement & Société - ULR 4477 [TVES]
Bondon, Pascal [Auteur]
Laboratoire des signaux et systèmes [L2S]
Ispány, Márton [Auteur]
University of Debrecen
Cotta, Higor [Auteur]

Titre de la revue :

Atmospheric Environment

Pagination :

117080

Éditeur :

Elsevier

Date de publication :

2020-02-01

ISSN :

1352-2310

Mot(s)-clé(s) en anglais :

Annoyance
Principal component analysis
Logistic regression
Relative risk

Discipline(s) HAL :

Statistiques [stat]/Théorie [stat.TH]

Résumé en anglais : [en]

As well known, Particulate matter (PM) is an air pollutant that causes damage to the health of humans, otheranimals, plants, affects the climate and is a potential cause of annoyance through deposition on various surfaces.The ...
Lire la suite >As well known, Particulate matter (PM) is an air pollutant that causes damage to the health of humans, otheranimals, plants, affects the climate and is a potential cause of annoyance through deposition on various surfaces.The perceived annoyance caused by particulate matter is related mainly to the increase of settled dust in urbanand residential environments. PM can originate from many sources, i.e., paved and unpaved roads, buildings,agricultural operations and wind erosion represent the largest contributions beyond the relatively minorvehicular and industrial sources emissions. The aim of this paper is to quantify the relationship betweenperceived annoyance and particulate matter concentration and to estimate the relative risk (RR). The data wascollected in the Metropolitan Region of Vitoria (MRV), Brazil. For this purpose, the variables of interest weremodelled using vector time series model (VAR), principal component analysis (PCA), and logistic regression(LOG). The combination of these techniques resulted in a hybrid model denoted as LOG-PCA-VAR which allowsto estimate RR by handling multipollutant effects. This study shows that there is a strong association between theperceived annoyance and different sizes of PM. The estimates of RR indicate that an increase in air pollutantconcentrations significantly contributes in increasing the probability of being annoyedLire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

LabEx Mathématique Hadamard

Collections :

• Territoires, Villes, Environnement & Société (TVES) - ULR 4477

Source :

Harvested from HAL