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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%

Author

Listed:
  • 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)

Abstract

No abstract is available for this item.

Suggested Citation

  • Husna Hasan & Affaf Mohamad & Nur Hanim Mohd Salleh, 2017. "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," Journal of Applied and Physical Sciences, Prof. Vakhrushev Alexander, vol. 3(2), pages 52-57.
    • Handle: RePEc:apb:japsss:2017:p:52-57
    DOI: 10.20474/japs-3.2.2
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