Increased weather extremes, changes in rainfall patterns, analyses of heat and cold waves, and increased droughts and floods are all happening in Kano State (Kano meteorological agency). As a result, the appropriate weather advisories and early warnings must be provided to planners, decision-makers, and operators in the many rainfall-sensitive socio-economic sectors. However, the goal of this research is to uncover certain hidden characteristics in the Kano State total monthly rainfall dataset from the start to finish of rain from April to October over a period of 105 years (1911-2015) in order to classify the severity of the rain in the studied region. Identify some of the negative repercussions on socio-economic sectors and transportation infrastructures by developing a linear model for changing rainfall patterns in Kano State. With the use of Principal Component Analysis (PCA) and the least square approach, the appearances of the rainfall figure are established for the research region. The top three (3) PCs are described, accounting for around 61 percent of the total discrepancy. PC1 is related with high intensity rainfall, PC2 with moderate intensity rainfall, and PC3 with light intensity rainfall in the research area, according to the revision. Uniform rainfall zones are constructed across the inquiring region based on the scores of our PCs, and the yearly rainfall performance is reviewed. All three models for diverse modes of rainfall intensity are statistically significant, which serves as the yearly rainfall pattern in the research region.
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