A time series analysis of the monthly distribution of rainfall in enugu metropolis
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Rainfall Patterns
- 2.2Historical Perspectives on Rainfall Studies
- 2.3Factors Influencing Rainfall Distribution
- 2.4Types of Rainfall Measurements
- 2.5Importance of Studying Rainfall Patterns
- 2.6Statistical Methods in Rainfall Analysis
- 2.7Technology and Rainfall Data Collection
- 2.8Climate Change and Rainfall Trends
- 2.9Rainfall Variability and Extremes
- 2.10Spatial Analysis of Rainfall Distribution
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design and Approach
- 3.2Data Collection Methods
- 3.3Sampling Techniques
- 3.4Data Analysis Procedures
- 3.5Statistical Software Utilization
- 3.6Ethical Considerations in Research
- 3.7Validity and Reliability Measures
- 3.8Research Limitations and Assumptions
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Overview of Research Findings
- 4.2Monthly Rainfall Distribution Patterns
- 4.3Correlation Analysis of Rainfall Data
- 4.4Seasonal Variations in Rainfall
- 4.5Extreme Rainfall Events
- 4.6Comparison with Previous Studies
- 4.7Geospatial Mapping of Rainfall
- 4.8Discussion on Implications and Applications
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Research Findings
- 5.2Conclusion and Recommendations
- 5.3Contributions to Existing Knowledge
- 5.4Areas for Future Research
- 5.5Final Thoughts and Reflections
Project Abstract
<p> </p><div><p>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.</p><p></p></div><h3></h3><br> <br><p></p>Project Overview
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