One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level

Waleed Mahmood; Ercan Avşar

doi:10.51354/mjen.869736

EN

One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level

Abstract

With the rapid spread of urbanization, competent authorities become increasingly anxious from air pollution risks and effect on citizens especially those with respiratory diseases. In this work, performances of six machine learning methods were analyzed for prediction of maximum ozone (O_3) concentration for the next-day. The models make the prediction using concentrations of six atmospheric components (PM2.5, PM10, Ozone (O3), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), and Carbon Monoxide (CO)). The utilized machine learning methods are multilayer perception (MLP), Support Vector Regression (SVM), k-Nearest Neighbor (K-NN), Random Forests (RF), Gradient Boosting (GB), and Elastic Net (EN). After the predictions made by these models, the predicted values were further processed to be classified into one of the six air quality levels defined by United States Environmental Protection Agency. The prediction performances of the models as well as their corresponding classification results were analyzed. It was shown that MLP model gives the lowest RMSE of 2246 for prediction step while SVR achieved the highest accuracy score of 0.790.

Keywords

machine learning, time-series forecasting, regression methods, sequence-to-sequence, air quality index.

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Waleed Mahmood ^*
0000-0002-4973-0106
Türkiye

Ercan Avşar
0000-0002-1356-2753
Türkiye

Publication Date

June 30, 2021

Submission Date

January 28, 2021

Acceptance Date

April 19, 2021

Published in Issue

Year 2021 Volume: 9 Number: 1

DOI

https://doi.org/10.51354/mjen.869736

IZ

https://izlik.org/JA43CN93LM

APA

Mahmood, W., & Avşar, E. (2021). One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level. MANAS Journal of Engineering, 9(1), 45-54. https://doi.org/10.51354/mjen.869736

AMA

1.Mahmood W, Avşar E. One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level. MJEN. 2021;9(1):45-54. doi:10.51354/mjen.869736

Chicago

Mahmood, Waleed, and Ercan Avşar. 2021. “One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level”. MANAS Journal of Engineering 9 (1): 45-54. https://doi.org/10.51354/mjen.869736.

EndNote

Mahmood W, Avşar E (June 1, 2021) One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level. MANAS Journal of Engineering 9 1 45–54.

IEEE

[1]W. Mahmood and E. Avşar, “One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level”, MJEN, vol. 9, no. 1, pp. 45–54, June 2021, doi: 10.51354/mjen.869736.

ISNAD

Mahmood, Waleed - Avşar, Ercan. “One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level”. MANAS Journal of Engineering 9/1 (June 1, 2021): 45-54. https://doi.org/10.51354/mjen.869736.

JAMA

1.Mahmood W, Avşar E. One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level. MJEN. 2021;9:45–54.

MLA

Mahmood, Waleed, and Ercan Avşar. “One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level”. MANAS Journal of Engineering, vol. 9, no. 1, June 2021, pp. 45-54, doi:10.51354/mjen.869736.

Vancouver

1.Waleed Mahmood, Ercan Avşar. One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level. MJEN. 2021 Jun. 1;9(1):45-54. doi:10.51354/mjen.869736

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