Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki

Nonlinear time series analysis and chaos theory are discussed as an alternative research on the prediction of hydrological data. In this paper, a non linear time series model is use to analyze the daily mean flow collected from the three gauging stations i.e. Sungai Yap at Sungai Pahang, Sungai Bat...

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Main Authors: Atan, Ismail, Mohd Baki, Aminuddin
Format: Research Reports
Language:English
Published: Institute of Research, Development and Commercialization, Universiti Teknologi MARA 2009
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/8104/
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author Atan, Ismail
Mohd Baki, Aminuddin
author_facet Atan, Ismail
Mohd Baki, Aminuddin
author_sort Atan, Ismail
building UiTM Institutional Repository
collection Online Access
description Nonlinear time series analysis and chaos theory are discussed as an alternative research on the prediction of hydrological data. In this paper, a non linear time series model is use to analyze the daily mean flow collected from the three gauging stations i.e. Sungai Yap at Sungai Pahang, Sungai Batu at Sentul and Sungai Gombak at Jalan Tun Razak. The procedure such as average mutual information, false nearest neighbor, reconstruction of phase space, recurrence analysis and the nonlinear prediction method were all applied to the data from the gauge. The results suggest that the data representing the behaviour of streamflow may be nonlinear and chaotic in nature. It has shown promising results of short-term forecasts of streamflows.
first_indexed 2025-11-14T21:30:05Z
format Research Reports
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institution Universiti Teknologi MARA
institution_category Local University
language English
last_indexed 2025-11-14T21:30:05Z
publishDate 2009
publisher Institute of Research, Development and Commercialization, Universiti Teknologi MARA
recordtype eprints
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spelling uitm-81042024-06-07T04:15:44Z https://ir.uitm.edu.my/id/eprint/8104/ Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki Atan, Ismail Mohd Baki, Aminuddin Hydrology. Water Nonlinear time series analysis and chaos theory are discussed as an alternative research on the prediction of hydrological data. In this paper, a non linear time series model is use to analyze the daily mean flow collected from the three gauging stations i.e. Sungai Yap at Sungai Pahang, Sungai Batu at Sentul and Sungai Gombak at Jalan Tun Razak. The procedure such as average mutual information, false nearest neighbor, reconstruction of phase space, recurrence analysis and the nonlinear prediction method were all applied to the data from the gauge. The results suggest that the data representing the behaviour of streamflow may be nonlinear and chaotic in nature. It has shown promising results of short-term forecasts of streamflows. Institute of Research, Development and Commercialization, Universiti Teknologi MARA 2009 Research Reports NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/8104/3/8104.pdf Atan, Ismail and Mohd Baki, Aminuddin (2009) Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki. (2009) [Research Reports] <http://terminalib.uitm.edu.my/8104.pdf> (Submitted)
spellingShingle Hydrology. Water
Atan, Ismail
Mohd Baki, Aminuddin
Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki
title Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki
title_full Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki
title_fullStr Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki
title_full_unstemmed Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki
title_short Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki
title_sort modelling of chaotic hydrological time series / ismail atan and aminuddin mohd baki
topic Hydrology. Water
url https://ir.uitm.edu.my/id/eprint/8104/