This study applied the Markov chain model on the daily average wind speed data recorded at the meteorological stations in northern Peninsular Malaysia. This study aims to investigate the trend of wind speed by obtaining the transition probability matrix and the stationary distribution vector for each of the stations. The five states of wind speed based on the Beaufort scale ranging from the scale Beaufort 0 up to Beaufort 4 were defined. The stationary distribution vectors obtained revealed that Kota Bharu, Kuala Terengganu and Bayan Lepas demonstrated the highest proportion of daily average wind speed occurring in the scale of Beaufort 2 with the proportion of 69.27%, 63.62% and 61.89% respectively. Meanwhile, Alor Setar and Chuping showed the highest proportion of daily average wind speed occurring in the scale of Beaufort 1 with the proportion of 54.52% and 72.29% respectively. Furthermore, Kota Bharu and Kuala Terengganu also showed 9.30% and 7.13% proportion of daily average wind speed occurring more than 3.3 meter per second (Beaufort 3 and above) while Bayan Lepas station only demonstrates approximately 3.31% of the category. The least proportion displayed for this category is Alor Setar with 0.6% and followed by Chuping with 1.98%

Hasan, Husna; Mohamad, Affaf; Salleh, Nur Hanim Mohd

This study applied the Markov chain model on the daily average wind speed data recorded at the meteorological stations in northern Peninsular Malaysia. This study aims to investigate the trend of wind speed by obtaining the transition probability matrix and the stationary distribution vector for each of the stations. The five states of wind speed based on the Beaufort scale ranging from the scale Beaufort 0 up to Beaufort 4 were defined. The stationary distribution vectors obtained revealed that Kota Bharu, Kuala Terengganu and Bayan Lepas demonstrated the highest proportion of daily average wind speed occurring in the scale of Beaufort 2 with the proportion of 69.27%, 63.62% and 61.89% respectively. Meanwhile, Alor Setar and Chuping showed the highest proportion of daily average wind speed occurring in the scale of Beaufort 1 with the proportion of 54.52% and 72.29% respectively. Furthermore, Kota Bharu and Kuala Terengganu also showed 9.30% and 7.13% proportion of daily average wind speed occurring more than 3.3 meter per second (Beaufort 3 and above) while Bayan Lepas station only demonstrates approximately 3.31% of the category. The least proportion displayed for this category is Alor Setar with 0.6% and followed by Chuping with 1.98%

Husna Hasan, Affaf Mohamad and Nur Hanim Mohd Salleh
Additional contact information
Husna Hasan: University of Science, Malaysia, George Town, Malaysia
Affaf Mohamad: Kolej Matrikulasi Kedah, Changlun, Malaysia
Nur Hanim Mohd Salleh: University of Science, Malaysia, George Town, Malaysia

Journal of Applied and Physical Sciences, 2017, vol. 3, issue 2, 52-57

Keywords: Markov Chain; Wind Speed; Trend; Transition Probability Matrix; Beaufort Scale (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:apb:japsss:2017:p:52-57

DOI: 10.20474/japs-3.2.2

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