Penentuan taburan terbaik daripada hujan maksimum bagi tempoh ribut yang panjang melebihi 48 jam (MR) dan hujan maksimum tahunan (MT)

Translated title of the contribution: The best fitting distribution of maximum storm rainfall with long duration with more than 48 H (MR) and maximum rainfall annualy (MT)

Research output: Contribution to journalArticle

Abstract

The focus of this study was to determine the best distribution to represent the annual series of maximum hourly rainfall and the maximum series rainfall from the storm exceeding 48 h. Data from 1970 to 2008 for 4 rain gauge stations in Peninsular Malaysia is used. Both types of maximum data series used in the detection of flood at urban areas, especially those caused by the failure of the drainage system to, while the study to predict the resistance of dam over 50 or 100 years' time is very dependent on the determination of the best fitting distribution for annual maximum rainfall. Various distributions which are often used for modeling extreme events are used to obtain the best distribution for two types of data. The goodness of fit test performed are the graphical and RMSE methods have identified Pearson Type 3 distribution is the best model to explain the annual maximum rainfall at all stations used in this study. On the other hand Pareto and Gamma distribution are the best distribution to describe the maximum rainfall occurring during storm period. The study is successful in predicting the maximum rainfall at 50 and 100 years from now.

Original languageUndefined/Unknown
Pages (from-to)1451-1460
Number of pages10
JournalSains Malaysiana
Volume43
Issue number9
Publication statusPublished - 1 Sep 2014

Fingerprint

rainfall
extreme event
distribution
gauge
urban area
dam
modeling
station

Keywords

  • Annual maximum
  • Gamma
  • Pareto
  • Pearson type 3
  • RMSE
  • Storm rainfall

ASJC Scopus subject areas

  • General

Cite this

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title = "Penentuan taburan terbaik daripada hujan maksimum bagi tempoh ribut yang panjang melebihi 48 jam (MR) dan hujan maksimum tahunan (MT)",
abstract = "The focus of this study was to determine the best distribution to represent the annual series of maximum hourly rainfall and the maximum series rainfall from the storm exceeding 48 h. Data from 1970 to 2008 for 4 rain gauge stations in Peninsular Malaysia is used. Both types of maximum data series used in the detection of flood at urban areas, especially those caused by the failure of the drainage system to, while the study to predict the resistance of dam over 50 or 100 years' time is very dependent on the determination of the best fitting distribution for annual maximum rainfall. Various distributions which are often used for modeling extreme events are used to obtain the best distribution for two types of data. The goodness of fit test performed are the graphical and RMSE methods have identified Pearson Type 3 distribution is the best model to explain the annual maximum rainfall at all stations used in this study. On the other hand Pareto and Gamma distribution are the best distribution to describe the maximum rainfall occurring during storm period. The study is successful in predicting the maximum rainfall at 50 and 100 years from now.",
keywords = "Annual maximum, Gamma, Pareto, Pearson type 3, RMSE, Storm rainfall",
author = "Rado Yendra and Jemain, {Abdul Aziz} and {Wan Zin @ Wan Ibrahim}, {Wan Zawiah}",
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AU - Yendra, Rado

AU - Jemain, Abdul Aziz

AU - Wan Zin @ Wan Ibrahim, Wan Zawiah

PY - 2014/9/1

Y1 - 2014/9/1

N2 - The focus of this study was to determine the best distribution to represent the annual series of maximum hourly rainfall and the maximum series rainfall from the storm exceeding 48 h. Data from 1970 to 2008 for 4 rain gauge stations in Peninsular Malaysia is used. Both types of maximum data series used in the detection of flood at urban areas, especially those caused by the failure of the drainage system to, while the study to predict the resistance of dam over 50 or 100 years' time is very dependent on the determination of the best fitting distribution for annual maximum rainfall. Various distributions which are often used for modeling extreme events are used to obtain the best distribution for two types of data. The goodness of fit test performed are the graphical and RMSE methods have identified Pearson Type 3 distribution is the best model to explain the annual maximum rainfall at all stations used in this study. On the other hand Pareto and Gamma distribution are the best distribution to describe the maximum rainfall occurring during storm period. The study is successful in predicting the maximum rainfall at 50 and 100 years from now.

AB - The focus of this study was to determine the best distribution to represent the annual series of maximum hourly rainfall and the maximum series rainfall from the storm exceeding 48 h. Data from 1970 to 2008 for 4 rain gauge stations in Peninsular Malaysia is used. Both types of maximum data series used in the detection of flood at urban areas, especially those caused by the failure of the drainage system to, while the study to predict the resistance of dam over 50 or 100 years' time is very dependent on the determination of the best fitting distribution for annual maximum rainfall. Various distributions which are often used for modeling extreme events are used to obtain the best distribution for two types of data. The goodness of fit test performed are the graphical and RMSE methods have identified Pearson Type 3 distribution is the best model to explain the annual maximum rainfall at all stations used in this study. On the other hand Pareto and Gamma distribution are the best distribution to describe the maximum rainfall occurring during storm period. The study is successful in predicting the maximum rainfall at 50 and 100 years from now.

KW - Annual maximum

KW - Gamma

KW - Pareto

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KW - RMSE

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