Time series analysis case of gash river at Kassala Station
Dissertant
Thesis advisor
Bashshar, Kamal al-Din al-Sadiq
University
Omdurman Islamic University
Faculty
Unesco Chair in Water Resources
University Country
Sudan
Degree
Master
Degree Date
2012
English Abstract
Time series analysis is an importance to detect patterns embedded in a time series and enables the generation and forecast of future values.
The hydrological time series analysis is also important in operation and design of water structures. Time series modeling is mainly useful in providing reservoir sizing, planning studies of future reservoir operation, planning capacity expansions of water supply systems, determining the risk of failure (or reliability) of water supply for irrigation systems.
In this study annual flow data of the gash river from 1907 to 2003 is used to calibrate and fit time series models of Autoregressive of order 1, 2, 3 and Autoregressive-Moving Average (ARMA(1,1)).
Model parameters were estimated using method of moments and stationarity and goodness of fit were applied to each model.
The model performance test was applied to select the best model. It was found that AR (3) model showed the best performance based on AIC (3,0) test.
Thus this model was used to generate synthetic data.
The generated data conserved well the first and second moments of the historical data. Kassala state lies in eastern Sudan, between latitudes 14° 13'–17° 10' north and longitudes 34° 10'-37° east.
It shares borders with Gedarif state in south west.
Nile state from the west and Red Sea state from the north. Along the east borders extents the hill series from the south east corner to the Red Sea hills.
The available data from 1907 to 2003, the main goal in this study is to analyze time series to obtain optimizing models to forecast the future values and to generate synthetic flow.
Analysis of the historical data for stationarity was done.
Results showed that the data is stationary.
Annual trend analysis was also performed on the historical data with results showing various outcomes. ARMA model was fitted to historical data.
It was found that ARMA (1,1) best fits the data.
The AR (3) was fitted and used to regenerate historical record.
Results showed complete agreement between the observed and generated flows.
Main Subjects
Earth Sciences, Water and Environment
Topics
No. of Pages
86
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Methodology.
Chapter Four : Application, result and discussion.
Chapter Five : Summary, conclusion and recommendations.
References.
American Psychological Association (APA)
Janw, Azizah Musa Hamid. (2012). Time series analysis case of gash river at Kassala Station. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364036
Modern Language Association (MLA)
Janw, Azizah Musa Hamid. Time series analysis case of gash river at Kassala Station. (Master's theses Theses and Dissertations Master). Omdurman Islamic University. (2012).
https://search.emarefa.net/detail/BIM-364036
American Medical Association (AMA)
Janw, Azizah Musa Hamid. (2012). Time series analysis case of gash river at Kassala Station. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364036
Language
English
Data Type
Arab Theses
Record ID
BIM-364036
