Pengelompokan kabur dalam perantauan kecenderungan kemarau di semenanjung Malaysia

Translated title of the contribution: Fuzzy clustering for regionalization of drought proneness in Peninsular Malaysia

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this study, the Gustafson-Kessel (GK) fuzzy clustering method is used to classify the 35 rainfall stations in Peninsular Malaysia into homogeneous regions. First, the GK fuzzy clustering algorithm is applied to identify the initial region. The next step is to test the discordancy and homogeneity of corresponding region. Finally, adjustment of region is done to obtain the homogeneous region. The results showed that, for thirty five rainfall stations studied, these stations could be grouped into six homogeneous regions. The first region covers the northwestern and northern of Peninsular Malaysia, region 2, 3 and 4 cover the western, region 5 covers the southwestern and region 6 covers the eastern. The study also indicates that, based on the average Standardized Precipitation Index (SPI) value for one-month time scale, region 2 experiences more frequent extreme drought condition. However, based on the SPI, drought events randomly occurred in all regions, moreover these regions experience drought events within a year. The results also showed that GK fuzzy clustering method could be applied to construct a homogeneous region. Copyright Reserved

Original languageUndefined/Unknown
Pages (from-to)1791-1800
Number of pages10
JournalSains Malaysiana
Volume43
Issue number11
Publication statusPublished - 1 Nov 2014

Fingerprint

regionalization
drought
rainfall
homogeneity

Keywords

  • Discordancy test
  • Gustafson-Kessel fuzzy clustering
  • Homogeneity test
  • Regionalization
  • Standardized Precipitation Index (SPI)

ASJC Scopus subject areas

  • General

Cite this

Pengelompokan kabur dalam perantauan kecenderungan kemarau di semenanjung Malaysia. / Sanusi, Wahidah; Jemain, Abdul Aziz; Wan Zin @ Wan Ibrahim, Wan Zawiah.

In: Sains Malaysiana, Vol. 43, No. 11, 01.11.2014, p. 1791-1800.

Research output: Contribution to journalArticle

@article{0d678a5e6314406da85cf644e7d4f427,
title = "Pengelompokan kabur dalam perantauan kecenderungan kemarau di semenanjung Malaysia",
abstract = "In this study, the Gustafson-Kessel (GK) fuzzy clustering method is used to classify the 35 rainfall stations in Peninsular Malaysia into homogeneous regions. First, the GK fuzzy clustering algorithm is applied to identify the initial region. The next step is to test the discordancy and homogeneity of corresponding region. Finally, adjustment of region is done to obtain the homogeneous region. The results showed that, for thirty five rainfall stations studied, these stations could be grouped into six homogeneous regions. The first region covers the northwestern and northern of Peninsular Malaysia, region 2, 3 and 4 cover the western, region 5 covers the southwestern and region 6 covers the eastern. The study also indicates that, based on the average Standardized Precipitation Index (SPI) value for one-month time scale, region 2 experiences more frequent extreme drought condition. However, based on the SPI, drought events randomly occurred in all regions, moreover these regions experience drought events within a year. The results also showed that GK fuzzy clustering method could be applied to construct a homogeneous region. Copyright Reserved",
keywords = "Discordancy test, Gustafson-Kessel fuzzy clustering, Homogeneity test, Regionalization, Standardized Precipitation Index (SPI)",
author = "Wahidah Sanusi and Jemain, {Abdul Aziz} and {Wan Zin @ Wan Ibrahim}, {Wan Zawiah}",
year = "2014",
month = "11",
day = "1",
language = "Undefined/Unknown",
volume = "43",
pages = "1791--1800",
journal = "Sains Malaysiana",
issn = "0126-6039",
publisher = "Penerbit Universiti Kebangsaan Malaysia",
number = "11",

}

TY - JOUR

T1 - Pengelompokan kabur dalam perantauan kecenderungan kemarau di semenanjung Malaysia

AU - Sanusi, Wahidah

AU - Jemain, Abdul Aziz

AU - Wan Zin @ Wan Ibrahim, Wan Zawiah

PY - 2014/11/1

Y1 - 2014/11/1

N2 - In this study, the Gustafson-Kessel (GK) fuzzy clustering method is used to classify the 35 rainfall stations in Peninsular Malaysia into homogeneous regions. First, the GK fuzzy clustering algorithm is applied to identify the initial region. The next step is to test the discordancy and homogeneity of corresponding region. Finally, adjustment of region is done to obtain the homogeneous region. The results showed that, for thirty five rainfall stations studied, these stations could be grouped into six homogeneous regions. The first region covers the northwestern and northern of Peninsular Malaysia, region 2, 3 and 4 cover the western, region 5 covers the southwestern and region 6 covers the eastern. The study also indicates that, based on the average Standardized Precipitation Index (SPI) value for one-month time scale, region 2 experiences more frequent extreme drought condition. However, based on the SPI, drought events randomly occurred in all regions, moreover these regions experience drought events within a year. The results also showed that GK fuzzy clustering method could be applied to construct a homogeneous region. Copyright Reserved

AB - In this study, the Gustafson-Kessel (GK) fuzzy clustering method is used to classify the 35 rainfall stations in Peninsular Malaysia into homogeneous regions. First, the GK fuzzy clustering algorithm is applied to identify the initial region. The next step is to test the discordancy and homogeneity of corresponding region. Finally, adjustment of region is done to obtain the homogeneous region. The results showed that, for thirty five rainfall stations studied, these stations could be grouped into six homogeneous regions. The first region covers the northwestern and northern of Peninsular Malaysia, region 2, 3 and 4 cover the western, region 5 covers the southwestern and region 6 covers the eastern. The study also indicates that, based on the average Standardized Precipitation Index (SPI) value for one-month time scale, region 2 experiences more frequent extreme drought condition. However, based on the SPI, drought events randomly occurred in all regions, moreover these regions experience drought events within a year. The results also showed that GK fuzzy clustering method could be applied to construct a homogeneous region. Copyright Reserved

KW - Discordancy test

KW - Gustafson-Kessel fuzzy clustering

KW - Homogeneity test

KW - Regionalization

KW - Standardized Precipitation Index (SPI)

UR - http://www.scopus.com/inward/record.url?scp=84911124323&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84911124323&partnerID=8YFLogxK

M3 - Article

VL - 43

SP - 1791

EP - 1800

JO - Sains Malaysiana

JF - Sains Malaysiana

SN - 0126-6039

IS - 11

ER -