Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model <br>

Popescu, Marian; Mihalache, Sanda Florentina; Oprea, Mihaela

Marian Popescu, Sanda Florentina Mihalache, Mihaela Oprea

Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model

Abstract:

Particulate matter with an aerodynamic diameter lower than 2.5 µm (PM2.5) is one of the most important air pollutants. Current regulations impose measuring and limiting its concentrations. Thus, it is necessary to develop forecasting models programs that can inform the population about possible pollution episodes. This paper emphasizes the correlations between PM2.5 and other pollutants, and meteorological parameters. From these, nitrogen dioxide and temperature showed have the best correlations with PM2.5 and have been selected as inputs for the proposed forecasting model besides four PM2.5 concentrations (the values from current hour to three hours ago), the output of the model being the prediction of the next hour PM2.5 concentration. Two methods from artificial intelligence were used to build the forecasting model, namely adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANN). The comparative study between these methods showed that the model which uses ANN have better results in terms of statistical indicators and computational effort.

Keywords:
air pollution; particulate matter; forecasting model; artificial intelligence techniques

Issue: 2017, Volume 68, Issue 4

Pages: 864-868

Publication date: 2017/5/15

https://doi.org/10.37358/RC.17.4.5567

Download Pdf Article

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

Citation Styles

Cite this article as:
POPESCU, M., MIHALACHE, S.F., OPREA, M., Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model
, Rev. Chim., 68(4), 2017, 864-868.

Vancouver
Popescu M, Mihalache SF, Oprea M. Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model
. Rev. Chim.[internet]. 2017 Apr;68(4):864-868. Available from: https://doi.org/10.37358/RC.17.4.5567

APA 6th edition
Popescu, M., Mihalache, S.F. & Oprea, M. (2017). Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model
. Revista de Chimie, 68(4), 864-868. https://doi.org/10.37358/RC.17.4.5567

Harvard
Popescu, M., Mihalache, S.F., Oprea, M. (2017). 'Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model
', Revista de Chimie, 68(4), pp. 864-868. https://doi.org/10.37358/RC.17.4.5567

IEEE
M. Popescu, S.F. Mihalache, M. Oprea, "Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model
". Revista de Chimie, vol. 68, no. 4, pp. 864-868, 2017. [online]. https://doi.org/10.37358/RC.17.4.5567

Text
Marian Popescu, Sanda Florentina Mihalache, Mihaela Oprea,
Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model
,
Revista de Chimie,
Volume 68, Issue 4,
2017,
Pages 864-868,
ISSN 2668-8212,
https://doi.org/10.37358/RC.17.4.5567.
(https://revistadechimie.ro/Articles.asp?ID=5567)
Keywords: air pollution; particulate matter; forecasting model; artificial intelligence techniques

RIS
TY - JOUR
T1 - Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model

A1 - Popescu, Marian
A2 - Mihalache, Sanda Florentina
A3 - Oprea, Mihaela
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2017
VL - 68
IS - 4
SP - 864
EP - 868
UR - https://doi.org/10.37358/RC.17.4.5567
KW - air pollution
KW - particulate matter
KW - forecasting model
KW - artificial intelligence techniques
ER -

BibTex
@article{RevCh2017P864,
author = {Popescu Marian and Mihalache Sanda Florentina and Oprea Mihaela},
title = {Air Pollutants and Meteorological Parameters Influence on PM2.5 Forecasting and Performance Assessment of the Developed Artificial Intelligence-Based Forecasting Model
},
journal = {Revista de Chimie},
volume = {68},
number = {4},
pages = {864-868},
year = {2017},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.17.4.5567},
url = {https://revistadechimie.ro/Articles.asp?ID=5567}
}

<<<< back

PUBLISHING SECTION

Author Guidelines

* Paper Drafting

* Paper Template

* Ethical Statement

* Paper Submission

Ghidul Autorului (ro)

Open Access & Archiving Policy

Search Authors

LATEST NEWS
	NUMAR OMAGIAL PETRU PONI.. detalii
	Revista de Chimie - 70 de ani de aparitie neintrerupta.. detalii
	English-Romanian Dictionary for Mechanical Engineering (download pdf)