A TIME SERIES ANALYSIS OF THE MONTHLY DISTRIBUTION OF RAINFALL IN ENUGU METROPOLIS.

A TIME SERIES ANALYSIS OF THE MONTHLY DISTRIBUTION OF RAINFALL IN ENUGU METROPOLIS.

A Time Series Analysis Of The Monthly Distribution Of Rainfall In Enugu Metropolis.
ABSTRACT
It is widely accepted that water supply will be a pressing issue in this century. Thus, position of adequate rainfall in the development of human and natural resources is a worthwhile research work. The data used in this project work was monthly amount of rainfall in Enugu city within the period of (2000- 2012).A preliminary inspection on the data revealed that the data has no trend but consist of multiplicative seasonal movements. Furthermore, the monthly data was also found to be stationary and serially uncorrelated by the Augmented Dickey Fuller test of unit root and the Autocorrelation test for serial correlation of the error term respectively.
The exponential smoothing procedures were adopted for the construction of the best fit model for the prediction of future rainfall pattern in Enugu. This was achieved by algorithms aimed at smoothing out all irregular components inherent in the series. The best fit model parameters were used to predict monthly rainfall distribution for 2013. The result suggested heavy rainfall in general for the year in question with its amplitude in the month of October.
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TABLE OF CONTENTS
A TIME SERIES ANALYSIS OF THE MONTHLY DISTRIBUTION OF
RAINFALL IN ENUGU METROPOLIS …………………………………………………….
i
(2000-2012). ……………………………………………………………………………………………..
i
CERTIFICATION PAGE ………………………………………………………………………….
ii
DEDICATION ……………………………………………………………………………………….
iii
.ACKNOWLEDGEMENT ……………………………………………………………………….
iv
ABSTRACT …………………………………………………………………………………………….
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TABLE OF CONTENTS ………………………………………………………………………
– 1 –
CHAPTER ONE ………………………………………………………………………………….
– 4 –
General Introduction …………………………………………………………………………
– 4 –
1.1
Method of Measuring Rainfall ……………………………………………………
– 5 –
1.2
Method of Data Collection …………………………………………………………
– 6 –
1.3
Objectives of the Study ……………………………………………………………..
– 6 –
1.4
Scope of the Study…………………………………………………………………….
– 7 –
1.5
Statement of the Problem …………………………………………………………..
– 7 –
1.6
Limitations of the Study …………………………………………………………….
– 7 –
1.7
Definition of Terms ………………………………………………………………….
– 8 –
CHAPTER TWO ……………………………………………………………………………….
– 11 –
Review of Relevant Literature ………………………………………………………….
– 11 –
2.1
Literature Review ……………………………………………………………………
– 11 –
CHAPTER THREE…………………………………………………………………………….
– 17 –
Methodology. …………………………………………………………………………………
– 17 –
– 1 –
3.1
Scatter gram. …………………………………………………………………………..
– 17 –
3.2
Seasonal Adjustment Method …………………………………………………..
– 17 –
3.3
Ratio to Moving Average (Multiplicative Method) ……………………..
– 18 –
3.4
Jarque Bera Test ……………………………………………………………………..
– 19 –
3.5
Ljung Box Q Statistic ………………………………………………………………
– 19 –
3.6
Autocorrelation Function (ACF) and Correlogram ……………………..
– 20 –
3.7
The Unit Root Test ………………………………………………………………….
– 20 –
3.6
Dickey Fuller (DF) Test …………………………………………………………..
– 21 –
3.9
Augmented Dickey Fuller Test (ADF) ………………………………………
– 21 –
3.10
Difference Stationary Process (DSP) …………………………………………
– 21 –
3.1
Trend Stationary Process (TSP) ………………………………………………..
– 22 –
3.12
Exponential Smoothing ……………………………………………………………
– 22 –
CHAPTER FOUR ………………………………………………………………………………
– 24 –
Presentation of Data, Results and Interpretations ………………………………..
– 24 –
4.1
Graphical Representations of Monthly Rainfall in Enugu. ……………

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