Entropy of stable seasonal rainfall distribution in Kelantan

Investigating the rainfall variability is vital for any planning and management in many fields related to water resources. Climate change can gives an impact of water availability and may aggravate water scarcity in the future. Two statistics measurements which have been used by many researchers to...

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Main Authors: Muhammad Az-Zuhri, Azman, Roslinazairimah, Zakaria, Siti Zanariah, Satari, Noor Fadhilah, Ahmad Radi
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing 2017
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Online Access:http://umpir.ump.edu.my/id/eprint/22308/1/Entropy%20of%20Stable%20Seasonal%20Rainfall%20Distribution%20in%20Kelantan.pdf
http://umpir.ump.edu.my/id/eprint/22308/
https://doi.org/10.1063/1.4982832
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spelling my.ump.umpir.223082018-10-03T04:29:31Z http://umpir.ump.edu.my/id/eprint/22308/ Entropy of stable seasonal rainfall distribution in Kelantan Muhammad Az-Zuhri, Azman Roslinazairimah, Zakaria Siti Zanariah, Satari Noor Fadhilah, Ahmad Radi QA Mathematics Investigating the rainfall variability is vital for any planning and management in many fields related to water resources. Climate change can gives an impact of water availability and may aggravate water scarcity in the future. Two statistics measurements which have been used by many researchers to measure the rainfall variability are variance and coefficient of variation. However, these two measurements are insufficient since rainfall distribution in Malaysia especially in the East Coast of Peninsular Malaysia is not symmetric instead it is positively skewed. In this study, the entropy concept is used as a tool to measure the seasonal rainfall variability in Kelantan and ten rainfall stations were selected. In previous studies, entropy of stable rainfall (ESR) and apportionment entropy (AE) were used to describe the rainfall amount variability during years for Australian rainfall data. In this study, the entropy of stable seasonal rainfall (ESSR) is suggested to model rainfall amount variability during northeast monsoon (NEM) and southwest monsoon (SWM) seasons in Kelantan. The ESSR is defined to measure the long-term average seasonal rainfall amount variability within a given year (1960-2012). On the other hand, the AE measures the rainfall amounts variability across the months. The results of ESSR and AE values show that stations in east coastline are more variable as compared to other stations inland for Kelantan rainfall. The contour maps of ESSR for Kelantan rainfall stations are also presented. AIP Publishing 2017 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22308/1/Entropy%20of%20Stable%20Seasonal%20Rainfall%20Distribution%20in%20Kelantan.pdf Muhammad Az-Zuhri, Azman and Roslinazairimah, Zakaria and Siti Zanariah, Satari and Noor Fadhilah, Ahmad Radi (2017) Entropy of stable seasonal rainfall distribution in Kelantan. In: AIP Conference Proceedings: The 3rd ISM International Statistical Conference 2016 (ISM-III), 9-11 August 2016 , Kuala Lumpur, Malaysia. pp. 1-8., 1842 (020002). ISBN 978-0-7354-1512-6 https://doi.org/10.1063/1.4982832
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Muhammad Az-Zuhri, Azman
Roslinazairimah, Zakaria
Siti Zanariah, Satari
Noor Fadhilah, Ahmad Radi
Entropy of stable seasonal rainfall distribution in Kelantan
description Investigating the rainfall variability is vital for any planning and management in many fields related to water resources. Climate change can gives an impact of water availability and may aggravate water scarcity in the future. Two statistics measurements which have been used by many researchers to measure the rainfall variability are variance and coefficient of variation. However, these two measurements are insufficient since rainfall distribution in Malaysia especially in the East Coast of Peninsular Malaysia is not symmetric instead it is positively skewed. In this study, the entropy concept is used as a tool to measure the seasonal rainfall variability in Kelantan and ten rainfall stations were selected. In previous studies, entropy of stable rainfall (ESR) and apportionment entropy (AE) were used to describe the rainfall amount variability during years for Australian rainfall data. In this study, the entropy of stable seasonal rainfall (ESSR) is suggested to model rainfall amount variability during northeast monsoon (NEM) and southwest monsoon (SWM) seasons in Kelantan. The ESSR is defined to measure the long-term average seasonal rainfall amount variability within a given year (1960-2012). On the other hand, the AE measures the rainfall amounts variability across the months. The results of ESSR and AE values show that stations in east coastline are more variable as compared to other stations inland for Kelantan rainfall. The contour maps of ESSR for Kelantan rainfall stations are also presented.
format Conference or Workshop Item
author Muhammad Az-Zuhri, Azman
Roslinazairimah, Zakaria
Siti Zanariah, Satari
Noor Fadhilah, Ahmad Radi
author_facet Muhammad Az-Zuhri, Azman
Roslinazairimah, Zakaria
Siti Zanariah, Satari
Noor Fadhilah, Ahmad Radi
author_sort Muhammad Az-Zuhri, Azman
title Entropy of stable seasonal rainfall distribution in Kelantan
title_short Entropy of stable seasonal rainfall distribution in Kelantan
title_full Entropy of stable seasonal rainfall distribution in Kelantan
title_fullStr Entropy of stable seasonal rainfall distribution in Kelantan
title_full_unstemmed Entropy of stable seasonal rainfall distribution in Kelantan
title_sort entropy of stable seasonal rainfall distribution in kelantan
publisher AIP Publishing
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/22308/1/Entropy%20of%20Stable%20Seasonal%20Rainfall%20Distribution%20in%20Kelantan.pdf
http://umpir.ump.edu.my/id/eprint/22308/
https://doi.org/10.1063/1.4982832
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score 13.160551