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International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Trend Analyses Of Rainfall Patterns In Nigeria Using Regression Parameters

[Full Text]

 

AUTHOR(S)

Ewona, I. O., Osang, J. E., Udo, S. O

 

KEYWORDS

Key Words: Trend Analyses, Rainfall Patterns, Regression Parameters, Nigeria

 

ABSTRACT

Abstract: Rainfall data collected by the Nigerian Meteorological Agency, Oshodi over a thirty - year period and from twenty three weather measuring stations were used for the study. This covered the period between January 1997 and December 2007. Regression equations were generated for each of the ten parameters in each station. Regression constants a and b were therefore extracted from these equations. The regression parameters which are reported in the form of tables show that the constant a, which is a reflection of the trend of the parameter lies between 0.006 and 0.230 while b lies between 35.81 and 228.5. Monthly mean daily total rainfall shows marked latitudinal dependence as can be seen in the positive slopes of the graph of b against latitude in Figure 2. Hence, rainfall shows consistent increase during the thirty years of this study. Constant b which is an indication of the volume of rainfall shows strong latitudinal dependence. We observe that the parameter decreases with latitude at the rate of 18.87 per degree rise in latitude. The correlation between latitude and parameter b is 0.92. The lowest values of Monthly mean values of rainfall as shown by constant b are in katsina which is in the far North and the highest values were in Calabar located in the far South. Katsina stands out as the lowest rainfall station while Calabar has been identified as having the highest rainfall in Nigeria.

 

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