A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania

Pohoata, Alin; Lungu, Emil

Alin Pohoata, Emil Lungu

A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania

Abstract:

Air pollution is an everyday issue, very relevant to public authorities, requiring control and monitoring to provide data for decision-making policies. The objective of this study was to evaluate the air quality in Ploiesti city, Romania and to observe the advantages and limitations of the some statistical methods used in forecasting air quality. Data for six air quality parameters collected at monitoring stations in Ploiesti during the 2013 year were statistically analyzed. Principal component analysis (PCA) was used to provide a relevant description in factors that can be explained in terms of different sources of air pollution. The measured pollutants data were statistically analyzed using the auto-regressive integrated moving average (ARIMA) method in order to assess the efficiency of using this method in forecasting the environmental air quality. The results revealed that ARIMA method has some limitations and do not produce satisfactory results for certain air pollutants such as PM10 and CO, even the forecasted period is short. By comparison, the ARIMA model obtained for NOx , NO2 , or O3 time series, provides good results, with relative errors around 5%.

Keywords:
air pollution; principal component analysis; forecasting; ARIMA

Issue: 2017, Volume 68, Issue 4

Pages: 818-823

Publication date: 2017/5/15

https://doi.org/10.37358/RC.17.4.5559

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This article is published under the Creative Commons Attribution 4.0 International License

Citation Styles

Cite this article as:
POHOATA, A., LUNGU, E., A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania, Rev. Chim., 68(4), 2017, 818-823.

Vancouver
Pohoata A, Lungu E. A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania. Rev. Chim.[internet]. 2017 Apr;68(4):818-823. Available from: https://doi.org/10.37358/RC.17.4.5559

APA 6th edition
Pohoata, A., Lungu, E. (2017). A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania. Revista de Chimie, 68(4), 818-823. https://doi.org/10.37358/RC.17.4.5559

Harvard
Pohoata, A., Lungu, E. (2017). 'A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania', Revista de Chimie, 68(4), pp. 818-823. https://doi.org/10.37358/RC.17.4.5559

IEEE
A. Pohoata, E. Lungu, "A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania". Revista de Chimie, vol. 68, no. 4, pp. 818-823, 2017. [online]. https://doi.org/10.37358/RC.17.4.5559

Text
Alin Pohoata, Emil Lungu,
A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania,
Revista de Chimie,
Volume 68, Issue 4,
2017,
Pages 818-823,
ISSN 2668-8212,
https://doi.org/10.37358/RC.17.4.5559.
(https://revistadechimie.ro/Articles.asp?ID=5559)
Keywords: air pollution; principal component analysis; forecasting; ARIMA

RIS
TY - JOUR
T1 - A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania
A1 - Pohoata, Alin
A2 - Lungu, Emil
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2017
VL - 68
IS - 4
SP - 818
EP - 823
UR - https://doi.org/10.37358/RC.17.4.5559
KW - air pollution
KW - principal component analysis
KW - forecasting
KW - ARIMA
ER -

BibTex
@article{RevCh2017P818,
author = {Pohoata Alin and Lungu Emil},
title = {A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania},
journal = {Revista de Chimie},
volume = {68},
number = {4},
pages = {818-823},
year = {2017},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.17.4.5559},
url = {https://revistadechimie.ro/Articles.asp?ID=5559}
}

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