Sains Malaysiana 44(10)(2015): 1521–1530
Some
Statistical Characteristic of Malaysian Wind Direction Recorded at Maximum Wind
Speed: 1999-2008
(Sebahagian
Ciri Statistik Arah Angin Malaysia yang Direkodkan pada Kelajuan Angin Maksimum:
1999-2008)
S.Z. SATARI1,2*, Y.Z. ZUBAIRI3, A.G. HUSSIN4 & S.F. HASSAN3
1Institute of Graduate
Studies, University of Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Malaysia
2Faculty of Industrial
Sciences & Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak
26300 Gambang, Kuantan, Pahang Darul Makmur, Malaysia
3Centre for Foundation
Studies in Sciences, University of Malaya,50603 Kuala
Lumpur,
Wilayah Persekutuan
Malaysia
4Faculty of Defence
Sciences and Technology, National Defence University of Malaysia, Kem Sungai
Besi, 57000 Kuala Lumpur, Wilayah Persekutuan, Malaysia
Received: 25 July 2013/Accepted:
30 June 2015
ABSTRACT
The statistical characteristics of
wind direction that was recorded at maximum wind speed in Peninsular Malaysia
for two monsoons from 1999 to 2008 for seven stations were analyzed in this
study. Modeled by von Mises distribution, the change in parameters values
namely mean direction and concentration parameter was measured. Statistical
summary, graphical representations, Watson-William Test and linear-circular
correlation are used in the analysis. It is found that there is a significant
change in the mean direction of wind over the period of ten years for most
stations in Peninsular Malaysia. However, there is a weak relationship between
wind direction and wind speed. This study suggested the presence of prominent
direction of wind that blows in Peninsular Malaysia by monsoon. This finding
may provide useful information on giving a better understanding of the behavior
of the wind in Peninsular Malaysia and the potential use of wind as an
alternative source of energy.
Keywords: Circular statistics;
climate; von Mises distribution; wind direction; wind speed
ABSTRAK
Ciri statistik arah angin yang
dicatatkan pada kelajuan angin maksimum bagi tujuh stesen di Semenanjung
Malaysia untuk dua monsun dari tahun 1999 hingga 2008 telah dianalisis dalam
kajian ini. Arah angin ini dimodelkan oleh taburan von Mises
dan perubahan dalam nilai-nilai parameternya iaitu min berarah serta parameter
menumpu telah diukur. Ringkasan statistik, perwakilan
grafik, ujian Watson-William dan korelasi linear membulat turut digunakan dalam
analisis ini. Didapati bahawa terdapat perubahan
ketara dalam min hala tuju angin sepanjang tempoh sepuluh tahun bagi kebanyakan
stesen di Semenanjung Malaysia. Walau bagaimanapun,
terdapat hubungan yang lemah antara arah angin dan kelajuan angin. Kajian ini mencadangkan terdapat kehadiran arah utama angin yang
bertiup di Semenanjung Malaysia untuk setiap monsun. Penemuan
ini boleh memberikan maklumat yang berguna serta pemahaman yang lebih baik
terhadap tingkah laku angin di Semenanjung Malaysia dan potensi penggunaan
angin sebagai sumber tenaga alternatif.
Kata
kunci: Arah angin; iklim; kelajuan angin; statistik berarah; taburan
von Mises
REFERENCES
Amos, D.E. 1974. Computation of modified Bessel functions and their ratios. Mathematics
of Computation 28(125): 239-251.
Batschelet,
E. 1981. Circular Statistics in Biology. London:
Academic Press.
Bernama. 2012. Haze
Drifting in from Riau. http://blis2.bernama. com/
getArticle.do?id=48458 &tid=99&cid=2. Accessed on 3 January 2012.
Bernama. 2008. Banjir
3 Negeri Makin Buruk. http://blis2. bernama.com/
getArticle.do?id=106665 &tid=79&cid=3. Accessed 8 January 2012.
Bernama. 1998. Kesan El-Nino. http://blis2.bernama.com/ getArticle.do? id=236293&tid=41 &cid=3. Accessed on 3 January 2012.
Best,
D.J. & Fisher, N.I. 1981. The bias of the maximum
likelihood estimators of the von Mises-Fisher concentration parameters. Communication
in Statistics - Simulation and Computation 10(5): 493-502.
Bowers J.A., Morton I.D.
& Mould G.I. 2000. Directional statistics of the wind and
waves. Applied Ocean Research 22: 13-30.
Brunsdon
C. & Charlton M. 2006. Local trend statistics for directional data - a
moving window approach. Computers, Environment and Urban Systems 30:
130-142.
Chiang, E.P., Zainal,
Z.A., Aswatha Narayana, P.A. & Seetharamu, K.N. 2003. Potential of
renewable wave and offshore wind energy sources in Malaysia. Marine
Technology 2003 Seminar.
Dobson, A.J. 1978. Simple approximations for the von mises concentration statistic. Journal of the Royal Statistical Society, Series C (Applied Statistics) 27(3):
345-347.
Fredolin
T. Tangang, Liew Juneng, Ester Salimun, Kwan Meng Sei, Loh Jui Le &
Halimatun Muhamad 2012. Climate change and variability over Malaysia: Gaps in
science and research information. Sains Malaysiana 41(11): 1355-1366.
Gumbel, E.J., Greenwood,
J.A. & Durand, D. 1953. The circular normal distribution: Theory and
tables. Journal of American Statistical Association 48(261): 131-152.
Hassan,
S.F., Hussin, A.G. & Zubairi, Y.Z. 2012. Improved
efficient approximation of concentration parameter and confidence interval for
circular distribution. ScienceAsia 38(1): 118-124.
Islam,
M.R., Saidur, R. & Rahim, N.A. 2011. Assessment of wind
energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution
function. Energy 36(2): 985-992.
Jammalamadaka, S.R.
& Lund, U.J. 2006. The effect of wind direction on ozone levels: A case
study. Environ. Ecol. Stat. 13: 287-298.
Jammalamadaka, S.R.
& SenGupta, A. 2001. Topics in Circular Statistics. Singapore: World Scientific Publishing Co. Pte. Ltd.
Kamisan,
N.A.B., Hussin, A.G., & Zubairi, Y.Z. 2010. Finding the best
circular distribution for southwesterly monsoon wind direction in Malaysia. Sains
Malaysiana 39(3): 387-393.
Kamisan, N.A.B., Hussin,
A.G. & Zubairi, Y.Z. & Hassan, S.F. 2011. Distribution of wind
direction recorded at maximum wind speed: A case study of Malaysian wind data
for 2005. International Journal of the Physical Sciences 6(7): 1840-
1850.
Mahmud,
M. & Ab Liah, I.H. 2010. Pencemaran udara di Bukit
Rambai, Melaka sewaktu peristiwa jerebu tahun 2005. Geografia Online
Malaysian Journal of society and Space 6(3): 30-39.
Malaysian Meteorological
Department. 2009. Climate Change Scenarios for Malaysia 2001-2099. Ministry of Science, Technology and Innovation Malaysia.
Mardia K.V. 1976. Linear-circular correlation coefficients and rhythmomentry. Biometrika 63: 403-405.
Mardia, K.V. 1972. Statistics of Directional Data. New York:
Academic Press.
Mardia, K.V. & Jupp,
P.E. 2000. Directional Statistics. England: John Wiley & Sons Ltd.
Mardia,
K.V. & Zemroch, P.J. 1975a. Algorithm AS 80: Spherical statistics. Journal
of the Royal Statistical Society, Series C (Applied Statistics) 24(1):
144-146.
Mardia,
K.V. & Zemroch, P.J. 1975b. Algorithm AS 81: Circular statistics. Journal
of the Royal Statistical Society, Series C (Applied Statistics) 24(1):
147-150.
Masseran,
N., Razali, A.M. & Ibrahim, K. 2012a. An analysis of wind power density
derived from several wind speed density functions: The regional assessment on
wind power in Malaysia. Renewable and Sustainable Energy Reviews 16:
6476-6487.
Masseran,
N., Razali, A.M., Ibrahim, K. & Wan Zin, W.Z. 2012b. Evaluating the wind
speed persistence for several wind stations in Peninsular Malaysia. Energy 37: 649-656.
Muhammad Barzani Gasim,
Salmijah Surif, Mazlin Mokhtar, Mohd. Ekhwan Hj. Toriman, Sahibin Abd. Rahim & Chong Huei Bee. 2010. Flood analysis of December
2006: Focus at Segamat Town Johor. Sains Malaysiana 39(3): 353-361.
Razali, A.M., Sapuan,
M.S., Ibrahim, K., Zaharim, A. & Sopian, K. 2010. Mapping of annual extreme
wind speed analysis from 12 stations in Peninsular Malaysia. Selected Topics
in System Science and Simulation in Engineering. 9th WSEAS
International Conference on System Science and Simulation in Engineering
(ICOSSSE ‘10). Iwate
Prefectural University, Japan. October 4-6. pp.
397-403.
Nur Aishah Sulaiman,
Faizah Husain, Khairil Afendy Hashim & Abd. Manan Samad. 2012. A study on
flood risk assessment for Bandar Segamat sustainability using remote sensing
and GIS approach. 2012 IEEE Control and system Graduate
Research Colloquium (1CSGRC 2012). Shah Alam, Selangor, Malaysia.
July 16-17. pp. 386-391.
The Star. 2005. Sudden
Haze Hits Klang Valley. http://thestar. com.my/news/story.asp?file=/2005/8/3/nation/11661487&
sec=nation. Accessed on 8 January 2012.
The Star. 2006. Typhoon Utor to Blame.
http://thestar.com.my/news/ story.asp?file=2006/12/21/nation//16380186&sec=nation.
Accessed on 3 January 2012.
Tiang, T.L. & Ishak, D. 2012. Technical
review of wind energy potential as small-scale power generation sources in
Penang Island Malaysia. Renewable and Sustainable Energy Reviews 16:
3034-3042.
Zaharim,
S.K., Najid, A., Razali, M. & Sopian, K. 2009. Wind speed analysis in
the east coast of Malaysia. European Journal of Scientific Research 32(2):
208-215.
*Corresponding author; email: zanariah@ump.edu.my
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