Forecasting PM
ARIMA
Air pollution
Forecasting
PM10
Time series models
Trend
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
received:
27
08
2019
accepted:
19
02
2020
pubmed:
2
5
2020
medline:
11
7
2020
entrez:
2
5
2020
Statut:
ppublish
Résumé
Particulate matter (PM), which is one of the most important parameters in the area of air pollution, has widespread impacts on human health. Hence, the prediction of the probable concentration of PM is a highly significant subject with regard to primary warning for the protection of a population. Turkey is among the European countries with polluted air in terms of the concentration of PM with a diameter smaller than 10 μ m (PM
Identifiants
pubmed: 32356050
doi: 10.1007/s11356-020-08164-x
pii: 10.1007/s11356-020-08164-x
doi:
Substances chimiques
Air Pollutants
0
Particulate Matter
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM