Forecasting air pollution index in Klang by markov chain model

The main purpose of analyze future air quality is to maintain the environment in good and healthy condition. Current techniques applied to forecast the air pollution index were ARIMA, SARIMA, Artificial Neural Network, Fuzzy Time Series, Machine Learning, etc. Thus, each technique has its own advant...

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Main Authors: Zakaria, N.N., Sokkalingam, R., Daud, H., Othman, M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.24963 /
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075476551&doi=10.35940%2fijeat.F1116.0986S319&partnerID=40&md5=00192a79150663a601c84225b1e79a36
http://eprints.utp.edu.my/24963/
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spelling utp-eprints.249632021-08-27T08:35:09Z Forecasting air pollution index in Klang by markov chain model Zakaria, N.N. Sokkalingam, R. Daud, H. Othman, M. The main purpose of analyze future air quality is to maintain the environment in good and healthy condition. Current techniques applied to forecast the air pollution index were ARIMA, SARIMA, Artificial Neural Network, Fuzzy Time Series, Machine Learning, etc. Thus, each technique has its own advantages and disadvantages in the variables, model selection and model accuracy determination. This study aims to forecast air pollution index by developing a Markov Chain model in Klang district, Selangor state which is one of the most polluted area in Malaysia. The Markov Chain model development is a stochastic process sequence that depends on the previous successive event in time. In this model development, state transition matrix and probability are the main concept in determine the future behavior of Air Pollution Index which depends on the present state of the process. The result shows that the developed model is a simple and good performance model that will forecast and evaluate the distribution of the pollution level in long term. © BEIESP. Blue Eyes Intelligence Engineering and Sciences Publication 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075476551&doi=10.35940%2fijeat.F1116.0986S319&partnerID=40&md5=00192a79150663a601c84225b1e79a36 Zakaria, N.N. and Sokkalingam, R. and Daud, H. and Othman, M. (2019) Forecasting air pollution index in Klang by markov chain model. International Journal of Engineering and Advanced Technology, 8 (6 Spec). pp. 635-639. http://eprints.utp.edu.my/24963/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The main purpose of analyze future air quality is to maintain the environment in good and healthy condition. Current techniques applied to forecast the air pollution index were ARIMA, SARIMA, Artificial Neural Network, Fuzzy Time Series, Machine Learning, etc. Thus, each technique has its own advantages and disadvantages in the variables, model selection and model accuracy determination. This study aims to forecast air pollution index by developing a Markov Chain model in Klang district, Selangor state which is one of the most polluted area in Malaysia. The Markov Chain model development is a stochastic process sequence that depends on the previous successive event in time. In this model development, state transition matrix and probability are the main concept in determine the future behavior of Air Pollution Index which depends on the present state of the process. The result shows that the developed model is a simple and good performance model that will forecast and evaluate the distribution of the pollution level in long term. © BEIESP.
format Article
author Zakaria, N.N.
Sokkalingam, R.
Daud, H.
Othman, M.
spellingShingle Zakaria, N.N.
Sokkalingam, R.
Daud, H.
Othman, M.
Forecasting air pollution index in Klang by markov chain model
author_sort Zakaria, N.N.
title Forecasting air pollution index in Klang by markov chain model
title_short Forecasting air pollution index in Klang by markov chain model
title_full Forecasting air pollution index in Klang by markov chain model
title_fullStr Forecasting air pollution index in Klang by markov chain model
title_full_unstemmed Forecasting air pollution index in Klang by markov chain model
title_sort forecasting air pollution index in klang by markov chain model
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075476551&doi=10.35940%2fijeat.F1116.0986S319&partnerID=40&md5=00192a79150663a601c84225b1e79a36
http://eprints.utp.edu.my/24963/
_version_ 1741196897137197056
score 11.62408

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