Statistical Modelling of Intensity Modes of Rainfall Using Principal Component Itemization: A..

Increased weather extremes, changes in rainfall patterns, study of heat and cold waves, and increased droughts and floods are all happening in Kano State (Kano meteorological agency). As a result, the requisite weather advisories and early warnings must be given to planners, decision-makers, and operators in the various rainfall-sensitive socio-economic sectors. However, the aim of this research is to uncover some secret variables in the Kano State total monthly rainfall dataset from the beginning to the end of the rainy season from April to October over a span of 105 years (1911-2015) in order to classify the strength of the rain in the study region.Identify some of the negative impacts on socio-economic sectors and transportation infrastructures by developing a linear model for shifting rainfall patterns in Kano State. With the use of Principal Component Analysis (PCA) and the least square method, the appearances of the rainfall figure are defined for the study area. The top three (3) PCs are listed, accounting for about 61 percent of the totaldisparity. The revision depicts and describes PC1 as being associated with heavy intensity rainfall, PC2 as being associated with moderate-intensity rainfall, and PC3 as being associated with light intensity rainfall in the study region.Uniform rainfall zones are defined over the enquiring area based on the scores of our PCs, and the yearly rainfall output is discussed. All three models for different modes of rainfall intensity are statistically important, which serves as the annual rainfall pattern in the study region.

Please see the link - https://www.journalajpas.com/index.php/AJPAS/article/view/30240