Pemodelan hujan Denyut Segi Empat Neyman Scott (NSRP) terbaik di semenanjung Malaysia

Translated title of the contribution: The best Neyman Scott Rectangular Pulse (NSRP) rainfall modelling in peninsular Malaysia

Research output: Contribution to journalArticle

Abstract

In this paper, a study to determine the best combination of statistics for stochastic Neyman-Scott Rectangular Pulse (NSRP) rainfall modeling had been carried out. Six sets of statistics, each of which contains a combination of statistical moments (1, 2 and 3) and the probability of rain in short time intervals (h) and long term (daily), as well as four different distributions (Exponential, Exponential mixture, Gamma and Weibull) for rain cell intensity were used and implemented on hourly rainfall data at nine stations representing different regions of Peninsular Malaysia. The study shows that the third moment statistics (skewness) did not give significant contribution to the success of the model. On the other hand, the time interval 1, 6 and 24 h are the best for the second moment statistics (variation). This study also found that the exponential model is the best distribution for modeling NSRP rainfall in Peninsular Malaysia.

Original languageUndefined/Unknown
Pages (from-to)359-367
Number of pages9
JournalSains Malaysiana
Volume43
Issue number3
Publication statusPublished - Mar 2014

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Malaysia
Rainfall
Statistics
Moment
Modeling
Interval
Exponential Model
Weibull
Skewness
Exponential distribution
Cell
Term
Model

Keywords

  • Exponent
  • Gamma
  • Neyman-Scott
  • Statistics moment
  • Weibull

ASJC Scopus subject areas

  • General

Cite this

Pemodelan hujan Denyut Segi Empat Neyman Scott (NSRP) terbaik di semenanjung Malaysia. / Yendra, Rado; Wan Zin @ Wan Ibrahim, Wan Zawiah; Jemain, Abdul Aziz.

In: Sains Malaysiana, Vol. 43, No. 3, 03.2014, p. 359-367.

Research output: Contribution to journalArticle

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