Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa
These Particulates matter (PM10) received great attention due to its potential to cause adverse health effects. This study proposes the application of Markov chain model onto extreme concentration. Data of daily maximum PM10 concentration for fifteen years at ten different locations of the monito...
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| Format: | Article |
| Language: | English |
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Universiti Teknologi MARA Cawangan Pulau Pinang
2017
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| Online Access: | https://ir.uitm.edu.my/id/eprint/28795/ |
| _version_ | 1848807126591340544 |
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| author | Mustafa, Nur Nadzirah Hasan, Husna |
| author_facet | Mustafa, Nur Nadzirah Hasan, Husna |
| author_sort | Mustafa, Nur Nadzirah |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | These Particulates matter (PM10) received great attention due to its potential to cause adverse health effects. This study proposes the application of Markov chain model onto extreme concentration. Data of daily maximum PM10 concentration for fifteen years at ten different locations of the monitoring stations selected at random was observed. Transition probability matrix was determined and Markov chain model was fitted. Chisquare test for independence was conducted. States of transition are dependent of the observatory stations and the state transition chain does follow Markov chain property. The behavior of the transition state shows that Pasir Gudang, Petaling Jaya and Melaka recorded to have the highest value of PM10 concentration while Kota Kinabalu has recorded the healthiest Air Pollutant Index (API) value throughout the past fifteen years. The number of transitions of days for the value of PM10 concentration to be in its steady state for each station is between 36 to 79 days. |
| first_indexed | 2025-11-14T22:37:52Z |
| format | Article |
| id | uitm-28795 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:37:52Z |
| publishDate | 2017 |
| publisher | Universiti Teknologi MARA Cawangan Pulau Pinang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-287952025-07-02T06:48:49Z https://ir.uitm.edu.my/id/eprint/28795/ Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa esteem Mustafa, Nur Nadzirah Hasan, Husna TD Environmental technology. Sanitary engineering Air pollution and its control Malaysia These Particulates matter (PM10) received great attention due to its potential to cause adverse health effects. This study proposes the application of Markov chain model onto extreme concentration. Data of daily maximum PM10 concentration for fifteen years at ten different locations of the monitoring stations selected at random was observed. Transition probability matrix was determined and Markov chain model was fitted. Chisquare test for independence was conducted. States of transition are dependent of the observatory stations and the state transition chain does follow Markov chain property. The behavior of the transition state shows that Pasir Gudang, Petaling Jaya and Melaka recorded to have the highest value of PM10 concentration while Kota Kinabalu has recorded the healthiest Air Pollutant Index (API) value throughout the past fifteen years. The number of transitions of days for the value of PM10 concentration to be in its steady state for each station is between 36 to 79 days. Universiti Teknologi MARA Cawangan Pulau Pinang 2017-08 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/28795/1/AJ_NUR%20NADZIRAH%20MUSTAFA%20EAJ%2017.pdf Mustafa, Nur Nadzirah and Hasan, Husna (2017) Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa. (2017) ESTEEM Academic Journal <https://ir.uitm.edu.my/view/publication/ESTEEM_Academic_Journal.html>, 13 (SI). pp. 118-128. ISSN 1675-7939 https://uppp.uitm.edu.my |
| spellingShingle | TD Environmental technology. Sanitary engineering Air pollution and its control Malaysia Mustafa, Nur Nadzirah Hasan, Husna Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa |
| title | Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa |
| title_full | Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa |
| title_fullStr | Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa |
| title_full_unstemmed | Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa |
| title_short | Analysis of Particulate matter (PM10) in Malaysia using Markov chain model / Nur Nadzirah Mustafa |
| title_sort | analysis of particulate matter (pm10) in malaysia using markov chain model / nur nadzirah mustafa |
| topic | TD Environmental technology. Sanitary engineering Air pollution and its control Malaysia |
| url | https://ir.uitm.edu.my/id/eprint/28795/ https://ir.uitm.edu.my/id/eprint/28795/ |