Rainfall runoff model using probability distributed model(PDM)

Probability Distributed Model (PDM) is widely used in analyzing the hydrological behavior. One of the applications is involved in rainfall runoff modeling to forecast the occurring of flood in Johor Bahru, Malaysia. In this study, Pareto distribution is used to represent the storage capacity of PDM....

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Main Author:	Yusof, Yazre
Format:	Thesis
Language:	English
Published:	2014
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/40569/1/YazreYusofMFS2014.pdf
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id	my-utm-ep.40569
record_format	uketd_dc
spelling	my-utm-ep.405692017-09-11T07:23:53Z Rainfall runoff model using probability distributed model(PDM) 2014-01 Yusof, Yazre QA Mathematics Probability Distributed Model (PDM) is widely used in analyzing the hydrological behavior. One of the applications is involved in rainfall runoff modeling to forecast the occurring of flood in Johor Bahru, Malaysia. In this study, Pareto distribution is used to represent the storage capacity of PDM. By providing the best fit between observed and simulated discharges, a Genetic Algorithm (GA) method has been applied to optimize the optimal parameter of PDM. The performance of PDM is accessed through the calibration and validation of different data with the same parameter. The model was applied to Sungai Pengeli (Station B) and the performance was assessed using the values R-squared value. A strong relationship between observed and calculated discharge was detected. In order to forecast water level days ahead, the error prediction employs the Autoregressive Moving Average (ARMA) model which is one of the model of time series. From the analysis, the trend of change in water level of station Sungai Pengeli (Station B) is quite accurately captured by using PDM with to small differences of the water level between actual and forecast values. 2014-01 Thesis http://eprints.utm.my/id/eprint/40569/ http://eprints.utm.my/id/eprint/40569/1/YazreYusofMFS2014.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Yusof, Yazre Rainfall runoff model using probability distributed model(PDM)
description	Probability Distributed Model (PDM) is widely used in analyzing the hydrological behavior. One of the applications is involved in rainfall runoff modeling to forecast the occurring of flood in Johor Bahru, Malaysia. In this study, Pareto distribution is used to represent the storage capacity of PDM. By providing the best fit between observed and simulated discharges, a Genetic Algorithm (GA) method has been applied to optimize the optimal parameter of PDM. The performance of PDM is accessed through the calibration and validation of different data with the same parameter. The model was applied to Sungai Pengeli (Station B) and the performance was assessed using the values R-squared value. A strong relationship between observed and calculated discharge was detected. In order to forecast water level days ahead, the error prediction employs the Autoregressive Moving Average (ARMA) model which is one of the model of time series. From the analysis, the trend of change in water level of station Sungai Pengeli (Station B) is quite accurately captured by using PDM with to small differences of the water level between actual and forecast values.
format	Thesis
qualification_level	Master's degree
author	Yusof, Yazre
author_facet	Yusof, Yazre
author_sort	Yusof, Yazre
title	Rainfall runoff model using probability distributed model(PDM)
title_short	Rainfall runoff model using probability distributed model(PDM)
title_full	Rainfall runoff model using probability distributed model(PDM)
title_fullStr	Rainfall runoff model using probability distributed model(PDM)
title_full_unstemmed	Rainfall runoff model using probability distributed model(PDM)
title_sort	rainfall runoff model using probability distributed model(pdm)
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2014
url	http://eprints.utm.my/id/eprint/40569/1/YazreYusofMFS2014.pdf
_version_	1747816559383937024

Rainfall runoff model using probability distributed model(PDM)

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