Prediction of flood event by using artificial neural network at Padas River

For the past few years, the flood that hits Beaufort District became worst with no early warning given out leaving citizens unprepared. Such warning is needed and can be achieved through modelling. In this study water level of Padas River is being used to produce a model by using Artificial Neural N...

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Main Author:	Amir Aliff, Amri
Format:	Undergraduates Project Papers
Language:	English English English
Published:	2015
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/12251/ http://umpir.ump.edu.my/id/eprint/12251/ http://umpir.ump.edu.my/id/eprint/12251/1/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%20CHAP%203.pdf http://umpir.ump.edu.my/id/eprint/12251/7/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/12251/8/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%2024%20pages.pdf

id	ump-12251
recordtype	eprints
spelling	ump-122512016-11-11T07:27:53Z http://umpir.ump.edu.my/id/eprint/12251/ Prediction of flood event by using artificial neural network at Padas River Amir Aliff, Amri TA Engineering (General). Civil engineering (General) For the past few years, the flood that hits Beaufort District became worst with no early warning given out leaving citizens unprepared. Such warning is needed and can be achieved through modelling. In this study water level of Padas River is being used to produce a model by using Artificial Neural Network to predict the occurrence of flood from the rising of water level in Sungai Padas. Artificial Neural Network with feed forward back propagation architecture are used to produce a model to where future water level are produced by using past water level. The model that has been produced in this thesis proved to be practical in doing real time water level prediction as model 3-4000-6 has given satisfactory accuracy in forecasting. Therefore early warnings can be given to unaware citizens on the rising of water level that will surpass the danger level that will lead to flood. 2015 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12251/1/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%20CHAP%203.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/12251/7/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%20CHAP%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/12251/8/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%2024%20pages.pdf Amir Aliff, Amri (2015) Prediction of flood event by using artificial neural network at Padas River. Faculty of Civil Engineering & Earth Resources, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:92148&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Amir Aliff, Amri Prediction of flood event by using artificial neural network at Padas River
description	For the past few years, the flood that hits Beaufort District became worst with no early warning given out leaving citizens unprepared. Such warning is needed and can be achieved through modelling. In this study water level of Padas River is being used to produce a model by using Artificial Neural Network to predict the occurrence of flood from the rising of water level in Sungai Padas. Artificial Neural Network with feed forward back propagation architecture are used to produce a model to where future water level are produced by using past water level. The model that has been produced in this thesis proved to be practical in doing real time water level prediction as model 3-4000-6 has given satisfactory accuracy in forecasting. Therefore early warnings can be given to unaware citizens on the rising of water level that will surpass the danger level that will lead to flood.
format	Undergraduates Project Papers
author	Amir Aliff, Amri
author_facet	Amir Aliff, Amri
author_sort	Amir Aliff, Amri
title	Prediction of flood event by using artificial neural network at Padas River
title_short	Prediction of flood event by using artificial neural network at Padas River
title_full	Prediction of flood event by using artificial neural network at Padas River
title_fullStr	Prediction of flood event by using artificial neural network at Padas River
title_full_unstemmed	Prediction of flood event by using artificial neural network at Padas River
title_sort	prediction of flood event by using artificial neural network at padas river
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/12251/ http://umpir.ump.edu.my/id/eprint/12251/ http://umpir.ump.edu.my/id/eprint/12251/1/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%20CHAP%203.pdf http://umpir.ump.edu.my/id/eprint/12251/7/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/12251/8/Prediction%20of%20flood%20event%20by%20using%20artificial%20neural%20network%20at%20Padas%20River%20-%2024%20pages.pdf
first_indexed	2023-09-18T22:13:42Z
last_indexed	2023-09-18T22:13:42Z
_version_	1777415197029302272

Prediction of flood event by using artificial neural network at Padas River

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