Sains Malaysiana 38(5)(2009): 751–760
A Comparative Study of Extreme
Rainfall in Peninsular Malaysia:
with Reference to
Partial Duration and Annual Extreme Series
(Kajian Perbandingan Siri Tempoh Separa dan Maksimum Tahunan
Bagi Hujan Ekstrem di Semenanjung Malaysia)
Wan Zin Wan Zawiah*, Abdul Aziz Jemain & Kamarulzaman Ibrahim
School of Mathematical
Sciences, Faculty of Science and Technology
Universiti Kebangsaan Malaysia,
43600 Bangi, Selangor D.E., Malaysia
Jamaludin Suhaila
Department of Mathematics, Faculty
of Science
Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
Mohd Deni Sayang
Center of Statistical Studies,
Faculty of Information Technology and Quantitative Science
Universiti Teknologi MARA, 40450
Shah Alam, Selangor, Malaysia
Received: 24 October 2008 / Accepted:
2 March 2009
ABSTRACT
Statistical
distributions of annual extreme (AE) and partial duration (PD) for rainfall events are analysed using
a database of 50 rain-gauge stations in Peninsular Malaysia, involving records
of time series data which extend from 1975 to 2004. The generalised extreme value (GEV) and generalised Pareto (GP) distributions are considered to model the series of annual
extreme and partial duration. In both cases, the three parameter models such as GEV and GP distributions are fitted by means of L-moments method, which is
one of the commonly used methods for robust estimation. The goodness-of-fit of
the theoretical distribution to the data is then evaluated by means of L-moment
ratio diagram and several goodness-of-fit (GOF) tests for each of the 50 stations. It is found that for the
majority of stations, the AE and PD series are well fitted by the GEV and GP models,
respectively. Based on the models that have been identified, we can reasonably
predict the risks associated with extreme rainfall for various return periods.
Keywords:
Annual extreme series; extreme rainfall events, generalised extreme value distribution; generalised pareto distribution; L-moments;
partial duration series
ABSTRAK
Taburan statistik bagi siri ekstrim tahunan (AE) dan tempoh separa (PD) bagi kejadian hujan dianalisis menggunakan pengkalan data 50 stesen sukatan hujan di Semenanjung Malaysia, merangkumi rekod yang berlanjutan dari 1975 ke 2004. Taburan nilai ekstrim teritlak (GEV) dan Pareto teritlak (GP) telah dicadangkan bagi pemodelan siri ekstrim tahunan and tempoh separa. Dalam kedua-dua kes, model tiga-parameter seperti taburan GEV dan GP, dipadankan menggunakan kaedah momen-L, yang merupakan salah satu kaedah yang sering digunakan bagi penganggaran teguh. Keserasian padanan diantara taburan secara teori kepada data kemudiannya dinilai dengan menggunakan rajah nisbah momen-L dan beberapa ujian kebagusan penyuaian (GOF) bagi setiap stesen. Didapati bahawa bagi kebanyakan stesen yang dikaji, siri AE mengikut model GEV manakala siri PD mengikut model GP. Berdasarkan model-model yang telah dikenal pasti, kita dapat membuat penganggaran yang munasabah mengenai risiko berhubung dengan hujan ekstrim bagi beberapa tempoh pulangan.
Kata kunci: Kejadian hujan ekstrem; momen-L; siri maksimum tahunan; siri tempoh separa; taburan nilai ekstrem teritlak; taburan pareto teritlak
REFERENCES
Adamowski, K. 2000. Regional analysis of annual maximum
and partial duration flood data by nonparametric and L-moments methods. J. Hydrology 229: 219-231.
Adamowski, K. & Bougadis, J. 2003. Detection of trends in annual extreme
rainfall. Hydrological Process 17: 3547-3560.
Aronica, G., Cannarozzo, M. & Noto, L. 2002. Investigating the changes in extreme rainfall series recorded in an urbanised area. Water Science Technology 45: 49-54.
Crisci, A., Gozzini, B., Meneguzzo,
F., Pagliara, S. & Maracchi,
G. 2002. Extreme rainfall in a changing
climate: regional analysis and hydrological implications in Tuscany. Hydrological
Processes 16: 1261-1274.
Cunnane, C. 1973. A particular comparison of annual
maxima and partial duration series methods of flood frequency prediction. J. Hydrology 18: 257-271.
Deni, S.M., Jemain, A.A. & Ibrahim, K.
2008. The spatial distribution
of wet and dry spells over Peninsular Malaysia. Theor. Appl. Climatol. doi:10.1007/s00704-007-0355-8.
Gupta, V.K.
& Duckstein, L. 1975. A stochastic analysis of extreme long
droughts. Water Resour. Res. 11:
221-228.
Hershfield, D.M. 1973: On the probability of extreme rainfall events. Bulletin
of the American Meteorological Society 54: 1013-1018.
Hosking, J.R.M. 1990. L-moments:
Analysis and estimation of distributions using linear combinations of order
statistics. Journal of the Royal Statistical Society (B) 52(1):
105-124.
Hosking,
J.R.M. & Wallis, J.R. 1997. Regional
frequency analysis: An approach based on L-moments. London: Cambridge
University Press. 224pp.
Jamaludin, S. & Jemain, A.A. 2007. Fitting daily rainfall amount in Peninsular
Malaysia using several types of exponential distributions. J.
Appl. Sci. Res. 3(10): 1027-1036.
Kotz, S. & Nadarajah, S. 2000. Extreme
Value Distributions: Theory and Applications. London: Imperial College
Press.
Koutsoyiannis, D. & Baloutsos, G. 2000. Analysis of a long record of annual maximum
rainfall in Athens, Greece, and design rainfall inferences. Natural
Hazards 22(1): 31-51.
Koutsoyiannis, D. 2003. On the appropriatness of the Gumbel distribution in modeling extreme
rainfall. Proceedings of the ESF LESC Exploratory
Workshop, October 24-25, Bolonga, Italy.
Lana, x.,
Serra, C. & Burgueno, A. 2003. Trends affecting pluviometric indices at the Fabra Observatory (Barcelona, NE
Spain) from 1917 to 1999. Int. J. Climatol.
23: 315-332.
Lana,
Martinez, M.D., Burgueno, A., Serra, C., Martin-Vide,
J. & Gomez, L. 2006a. Distributions of long dry spells in the Iberian Peninsula, years
1951–1990. Int. J. Climatol. 26:
1999-2021.
Lana, Burgueno, A., Martinez, M.D. & Serra, C. 2006b. Statistical distribution and sampling
strategies for the analysis of extreme dry spells in Catalonia (NE Spain). J. Hydrol. 324: 94-114.
Lang, M., Ouarda, T.B.M.J. & Bobee, B.
1999. Towards
operational guidelines for over-threshold modeling. J. Hydrol. 225: 103-117.
Li, Y., Cai, W. & Campbell, E.P. 2004. Statistical
modeling of extreme rainfall in Southwest Western Australia. J.
Climate. 18: 852-863.
Madsen, H.
& Rosbjerg, D. 1997a. The partial duration series method in
regional index-flood modeling. Water Resources Research 33(4):
737-746.
Madsen, H.,
Pearson, C.P. & Robsjerg, D. 1997b. Comparison of annual maximum series and
partial duration methods for modelling extreme
hydrological events. 1. At-site modelling. Water
Resource Research 33: 759-769.
Madsen, H.,
Pearson, C.P. & Robsjerg, D. 1997c. Comparison of annual maximum series and
partial duration methods for modelling extreme
hydrological events. 2. Regional modelling. Water
Resource Research 33: 771-790.
Nadarajah, S. & Choi, D. 2007. Maximum daily rainfall in South Korea. Journal of Earth Science 116(4): 311-320.
Nguyen,
V.T.V., Nguyen, T.D. & Ashkar, F. 2002. Regional frequency analysis of extreme
rainfalls. Water Science and Technology 45: 75-81.
Onoz, B. & Bayazit, M. 2001. Effect of the occurrence process of the peaks
over threshold on the flood estimates. J. Hydrol. 244: 86-96.
Parida, B.P. 1999. Modelling of Indian summer monsoon rainfall using a four-parameter Kappa
distribution. Int. J. Climatol. 19:
1389-1398.
Park, J.S.
& Jung, H.S. 2002. Modelling Korean extreme rainfall
using a Kappa distribution and maximum likelihood estimate. Theor. Appl. Climatol. 72: 55-64.
Quah, L.C. & Ooi, M.K. 1985. Wet and dry spell probability models in West Malaysia. Research Publication No. 14. Malaysian Meteorological Service.
Rakhecha, P.R. & Soman, M.K. 1994. Trends in the annual extreme rainfall events
of 1 to 3 days duration over India. Theor. Appl. Climatol. 48: 227-237.
Vicente-Serrano, S.M. & Begueria-Portugues, S.
2003. Estimating extreme dry-spell risk in the middle Ebro valley (NE Spain): a
comparative analysis of partial duration series with general Pareto distribution and annual maxima series with a Gumbel distribution. Int. J. Climatol. 23: 1103-1118.
Vogel,
R.M., & Fennessey, N.M. 1993. L-moment diagrams should replace product moment diagrams. Water
Resource Research 29: 1745-1752.
Wijngaard, J.B., Kleink Tank, A.M.G. & Konnen, G.P. 2003. Homogeneity of 20th century European daily temperature and
precipitation series. Int. J. Climatol.
23: 679-692.
Wilks, D. S. 1993. Comparison of three-parameter
probability distributions for representing annual extreme and partial duration
precipitation series. Water Resource Research 29(10): 3543-3549.
Withers, C.S. & Nadarajah, S. 2000. Evidence of trend in return levels for
daily rainfall in New Zealand. J. Hydrology (NZ) 39: 155-166.
Yap, W.C. 1973. The
persistence of wet and dry spells in Sungai Buloh,
Selangor. Meteor Mag. 102: 240-245.
Zalina, M.D., Desa, M.N., Nguyen, V.T.V.
& Hashim, M.K. 2002. Selecting a Probability distribution for
extreme rainfall series in Malaysia. Water Science and Technology 45:
63-68.
Zin, W.Z.W., Jemain, A.A. & Ibrahim,
K. 2008. The best fitting distribution of
annual maximum rainfall in Peninsular Malaysia based on methods of L-moments
and LQ-moment. Theor. Appl. Climatol. doi:10.1007/s00704-008-0044-2.
*Corresponding author; e-mail:
w_zawiah@ukm.my
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