An investigation into rainfall characteristics in peninsular Malaysia using copulas method

Extreme rain patterns are influenced by variations in daily rain. Floods, landslides, and crop failures are all caused by excessive rain. Physical damage to residential and other structures can be caused by floods. As a result, efforts must be made to mitigate the impact of loss caused by heavy rain...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohd Faris, Fauzi
Format:	Thesis
Language:	English English
Published:	2021
Subjects:	TD Environmental technology Sanitary engineering
Online Access:	http://ir.upnm.edu.my/id/eprint/219/1/AN%20INVESTIGATION%20INTO%20%2825p%29.pdf http://ir.upnm.edu.my/id/eprint/219/2/AN%20INVESTIGATION%20INTO%20%28full%29.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-upnm-ir.219
record_format	uketd_dc
spelling	my-upnm-ir.2192023-06-13T03:38:21Z An investigation into rainfall characteristics in peninsular Malaysia using copulas method 2021-09-15 Mohd Faris, Fauzi TD Environmental technology. Sanitary engineering Extreme rain patterns are influenced by variations in daily rain. Floods, landslides, and crop failures are all caused by excessive rain. Physical damage to residential and other structures can be caused by floods. As a result, efforts must be made to mitigate the impact of loss caused by heavy rain. Estimating the huge damage to the floods arising from excessive rainfall is one of the efforts to limit this effect. Flood loss modeling can be used to estimate how much damage will occur when floods occur due to heavy rain. For modeling, extreme value theory and copula methods are used. Copula is a function that combines the multivariate distribution function to the marginal distribution function. The Extreme Value Theory focuses on modeling of the tail behaviour of a distribution using only extreme values rather than the whole dataset, it can potentially provide a more accurate estimate of tail risk. Based on the modelling results, from 30 stations, Frank Copula recorded 17 stations, so we chose Frank Copula is the best Copula model to explain the relationship between severity and duration or rainfall in Peninsular Malaysia. When the parameter value of both low or strong variables, Copula Frank explains close relationships. 2021-09 Thesis http://ir.upnm.edu.my/id/eprint/219/ http://ir.upnm.edu.my/id/eprint/219/1/AN%20INVESTIGATION%20INTO%20%2825p%29.pdf text en public http://ir.upnm.edu.my/id/eprint/219/2/AN%20INVESTIGATION%20INTO%20%28full%29.pdf text en validuser mphil masters Universiti Pertahanan Nasional Malaysia Centre For Graduate Studies
institution	Universiti Pertahanan Nasional Malaysia
collection	UPNM Institutional Repository
language	English English
topic	TD Environmental technology Sanitary engineering
spellingShingle	TD Environmental technology Sanitary engineering Mohd Faris, Fauzi An investigation into rainfall characteristics in peninsular Malaysia using copulas method
description	Extreme rain patterns are influenced by variations in daily rain. Floods, landslides, and crop failures are all caused by excessive rain. Physical damage to residential and other structures can be caused by floods. As a result, efforts must be made to mitigate the impact of loss caused by heavy rain. Estimating the huge damage to the floods arising from excessive rainfall is one of the efforts to limit this effect. Flood loss modeling can be used to estimate how much damage will occur when floods occur due to heavy rain. For modeling, extreme value theory and copula methods are used. Copula is a function that combines the multivariate distribution function to the marginal distribution function. The Extreme Value Theory focuses on modeling of the tail behaviour of a distribution using only extreme values rather than the whole dataset, it can potentially provide a more accurate estimate of tail risk. Based on the modelling results, from 30 stations, Frank Copula recorded 17 stations, so we chose Frank Copula is the best Copula model to explain the relationship between severity and duration or rainfall in Peninsular Malaysia. When the parameter value of both low or strong variables, Copula Frank explains close relationships.
format	Thesis
qualification_name	Master of Philosophy (MPhil)
qualification_level	Master's degree
author	Mohd Faris, Fauzi
author_facet	Mohd Faris, Fauzi
author_sort	Mohd Faris, Fauzi
title	An investigation into rainfall characteristics in peninsular Malaysia using copulas method
title_short	An investigation into rainfall characteristics in peninsular Malaysia using copulas method
title_full	An investigation into rainfall characteristics in peninsular Malaysia using copulas method
title_fullStr	An investigation into rainfall characteristics in peninsular Malaysia using copulas method
title_full_unstemmed	An investigation into rainfall characteristics in peninsular Malaysia using copulas method
title_sort	investigation into rainfall characteristics in peninsular malaysia using copulas method
granting_institution	Universiti Pertahanan Nasional Malaysia
granting_department	Centre For Graduate Studies
publishDate	2021
url	http://ir.upnm.edu.my/id/eprint/219/1/AN%20INVESTIGATION%20INTO%20%2825p%29.pdf http://ir.upnm.edu.my/id/eprint/219/2/AN%20INVESTIGATION%20INTO%20%28full%29.pdf
_version_	1813223577834487808

An investigation into rainfall characteristics in peninsular Malaysia using copulas method

Similar Items