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

Kano State is experiencing greater weather extremes, changes in rainfall patterns, analysis of heat and cold waves, and increasing droughts and floods (Kano meteorological agency). As a result, there is a need for the provision of the necessary weather advisories and early warnings to planners, decision-makers, and operators of the various rainfall-sensitive socio-economic sectors. However, this study is aiming to realize some hidden variables of Kano State total monthly rainfall dataset from the onset to cessation period of rain from the month of April to October over a 105 years (1911-2015) for classification into the intensity of the rain of the area under study, also to determine the linear model for the changing patterns of rainfall in Kano State and to identify some of the adverse impacts on socio-economic sectors and transport infrastructures. Thus, the appearances of the rainfall figure are established for the study region with the operation of Principal Component Analysis (PCA), application least square method. The leading three (3) PCs, gives account for about 61% of the entire disparity, is described. The modification depicts and describes PC1 as being associated with heavy intensity rainfall, PC2 as being related with moderate-intensity rainfall, and PC3 as being related with light intensity rainfall in the study area. Uniform rainfall zones are constructed over the enquiring region based on the scores of our PCs, and the yearly rainfall performance is reviewed. All three models for varied modes of rainfall intensity are clinically meaningful, which serves as the yearly rainfall pattern in the research area.

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