Sains Malaysiana 41(11)(2012): 1377–1387
Comparisons between the Window-Based and
Storm-Event Analysis
(Perbezaan antara Analisis
Berdasarkan Tingkap dan Analisis Kejadian Ribut)
Noratiqah MohdAriff* & Abdul Aziz Jemain
School of Mathematical
Sciences,Faculty of Science and Technology,
Universiti Kebangsaan
Malaysia, 43600 Bangi, Selangor, Malaysia
Diserahkan: 17 Oktober
2011 / Diterima: 29 Mei 2012
ABSTRACT
Rainfalls data have been broadly
used in researches including in hydrological and meteorological areas. Two
common ways in extracting observations from hourly rainfalls data are the
window-based analysis (WBA) and
storm-event analysis (SEA)
approach. However, the differences in the qualitative and quantitative
properties of both methods are still vaguely discussed. The aim of studying
these dissimilarities is to understand the effects of each approach in
modelling and analysis. The qualitative difference is due to the way the two
analyses define the accumulated rainfalls for observations which are referred
to as rainfall and storm depths, respectively. The repetitiveness of rainfall
depths provide nested structure while the storm depths are considered
independent. The quantitative comparisons include their statistical and scaling
properties that are linked by the self-similarity concept from simple scaling
characteristics. If self-similarity concept holds, then the rainfall or storm
depths follow simple scaling and the analysis would be simplified. The rainfall
depths showed clearer simple scaling characteristics compared to the storm
depths. Though the storm depths do not yield self-similarity for a large range
of storm duration but the characteristics of simple scaling can be observed for
a reduced range of the considered duration. In general, the context of the
research and the region of the time interval and duration will be important
aspects to consider in choosing which method is best to use for analyzing the
data.
Keywords: Rainfalls analysis;
self-similarity concept; simple scaling; storm events
ABSTRAK
Data hujan
telah diguna pakai dalam pelbagai kajian termasuk dalam bidang hidrologi dan
meteorologi. Terdapat dua kaedah yang biasa digunakan untuk
mengekstrak maklumat daripada data hujan setiap jam iaitu analisis berdasarkan tingkap
dan analisis kejadian ribut. Walau bagaimanapun, perbezaan
secara kualitatif dan kuantitatif kedua-dua analisis belum pernah dibincangkan
dengan jelas. Tujuan mempelajari kelainan ini adalah
untuk memahami kesan setiap kaedah tersebut terhadap permodelan dan analisis
hujan. Perbezaan kualitatif antara kedua-dua analisis
adalah disebabkan cara hujan terkumpul didefinisikan. Hujan
terkumpul ini masing-masing ditulis sebagai kedalaman hujan dan kedalaman
ribut. Pengulangan data yang digunakan dalam analisis
berdasarkan tingkap menyebabkan kedalaman hujan mempunyai struktur bersarang
manakala kedalaman ribut dianggap sebagai pemboleh ubah tak bersandar. Perbandingan kuantitatif pula terdiri daripada ciri statistik dan
ciri berkala yang berkait rapat melalui konsep serupa daripada struktur berkala
mudah. Jika konsep serupa diri ini dipenuhi, ini bermakna kedalaman
hujan atau ribut itu mengikut sifat berkala mudah dan analisis akan menjadi lebih senang. Kedalaman hujan
menunjukkan ciri berkala mudah yang lebih jelas berbanding pemboleh ubah
kedalaman ribut. Walaupun kedalaman ribut tidak
mempamerkan sifat serupa diri bagi julat tempoh ribut yang besar, tetapi sifat
berkala mudah ini dapat dilihat pada pemboleh ubah tersebut jika julat ini
dikecilkan untuk tempoh tertentu. Secara
keseluruhannya, konteks kajian dan julat selang masa hujan atau tempoh ribut
adalah aspek penting yang perlu diambil kira dalam memilih kaedah yang paling
sesuai untuk menganalisis data hujan.
Kata
kunci: Analisis hujan; berkala mudah; kejadian ribut; konsep serupa diri
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*Pengarang surat-menyurat; email: tqah@ukm.my
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