Balanced Stochastic Realization Algorithm For Development Of Rainfall Model

Rainfall forecasting is an important component of flood warning to the public especially in tropical climate region like Malaysia. The forecasts can be used to make decisions about whether warnings of floods should be issued to the general public in advance. In this research, Balanced Stochastic Rea...

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Main Author:	Azhari, Fahimy
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.usm.my/41195/1/FAHIMY_BIN_AZHARI_24_Pages.pdf
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id	my-usm-ep.41195
record_format	uketd_dc
spelling	my-usm-ep.411952018-07-31T02:18:00Z Balanced Stochastic Realization Algorithm For Development Of Rainfall Model 2014 Azhari, Fahimy TK7800-8360 Electronics Rainfall forecasting is an important component of flood warning to the public especially in tropical climate region like Malaysia. The forecasts can be used to make decisions about whether warnings of floods should be issued to the general public in advance. In this research, Balanced Stochastic Realization (BSR) subspace algorithm is used to develop a rainfall model for Malaysia. Simulation analysis is done using MATLAB software. The model is developed using a rainfall data obtained from Malaysia Meteorological Department (MMD). In this study, rainfall data in 2001 until 2005 from Kota Bharu station is used to simulate the model. The model is then used to predict rainfall of the same station in 2006 until 2010. The results reveal good model performance and accuracy. To further evaluate the model performance, Kota Bharu model is used to make forecasting of different places and different rain pattern in Malaysia. There are five main region classifications. Those are east coast area (Kuantan and Kuala Terengganu), northern area (Butterworth), western area (Ipoh), southern area (Senai) and east Malaysia (Miri and Sandakan). From analysis, the model also demonstrates high robustness when tested to different locations. The significant outcome from this study will able to assist further investigation on flood forecasting study in Malaysia, specifically, and tropical climatic region, generally. 2014 Thesis http://eprints.usm.my/41195/ http://eprints.usm.my/41195/1/FAHIMY_BIN_AZHARI_24_Pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Azhari, Fahimy Balanced Stochastic Realization Algorithm For Development Of Rainfall Model
description	Rainfall forecasting is an important component of flood warning to the public especially in tropical climate region like Malaysia. The forecasts can be used to make decisions about whether warnings of floods should be issued to the general public in advance. In this research, Balanced Stochastic Realization (BSR) subspace algorithm is used to develop a rainfall model for Malaysia. Simulation analysis is done using MATLAB software. The model is developed using a rainfall data obtained from Malaysia Meteorological Department (MMD). In this study, rainfall data in 2001 until 2005 from Kota Bharu station is used to simulate the model. The model is then used to predict rainfall of the same station in 2006 until 2010. The results reveal good model performance and accuracy. To further evaluate the model performance, Kota Bharu model is used to make forecasting of different places and different rain pattern in Malaysia. There are five main region classifications. Those are east coast area (Kuantan and Kuala Terengganu), northern area (Butterworth), western area (Ipoh), southern area (Senai) and east Malaysia (Miri and Sandakan). From analysis, the model also demonstrates high robustness when tested to different locations. The significant outcome from this study will able to assist further investigation on flood forecasting study in Malaysia, specifically, and tropical climatic region, generally.
format	Thesis
qualification_level	Master's degree
author	Azhari, Fahimy
author_facet	Azhari, Fahimy
author_sort	Azhari, Fahimy
title	Balanced Stochastic Realization Algorithm For Development Of Rainfall Model
title_short	Balanced Stochastic Realization Algorithm For Development Of Rainfall Model
title_full	Balanced Stochastic Realization Algorithm For Development Of Rainfall Model
title_fullStr	Balanced Stochastic Realization Algorithm For Development Of Rainfall Model
title_full_unstemmed	Balanced Stochastic Realization Algorithm For Development Of Rainfall Model
title_sort	balanced stochastic realization algorithm for development of rainfall model
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2014
url	http://eprints.usm.my/41195/1/FAHIMY_BIN_AZHARI_24_Pages.pdf
_version_	1747820886817243136

Balanced Stochastic Realization Algorithm For Development Of Rainfall Model

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