Current Volume 9
This study investigates rainfall variability across Nigeria’s six geopolitical zones using Exponentially Weighted Moving Average (EWMA) control charts and long-term rainfall data spanning 1981–2022. EWMA control charts were employed to detect shifts, trends, and anomalies in rainfall patterns because of their sensitivity to small changes in time-series data reveal clear spatial disparities: the northern regions experienced prolonged low-rainfall anomalies, whereas the southern regions showed increasing variability and frequent high-rainfall anomalies. These patterns reflect the impacts of emerging climate change and the associated hydrological risks. The findings demonstrate that EWMA control charts provide a reliable statistical framework for rainfall monitoring and support evidence-based policy decisions in agriculture, water resource management, and disaster risk reduction.
Rainfall Variability, EWMA Control Chart, Climate Change, Nigeria, Statistical Monitoring
IRE Journals:
Omotoso Saliu Adewole, Kayode Olarewaju Joseph, Atanlogun Kolawole Sunday, Edwin Oluwatoyin Ayodele "Application of Exponentially Weighted Moving Average Charts for Monitoring Rainfall Variability Across Nigeria’s Geopolitical Zones" Iconic Research And Engineering Journals Volume 7 Issue 8 2024 Page 602-607
IEEE:
Omotoso Saliu Adewole, Kayode Olarewaju Joseph, Atanlogun Kolawole Sunday, Edwin Oluwatoyin Ayodele
"Application of Exponentially Weighted Moving Average Charts for Monitoring Rainfall Variability Across Nigeria’s Geopolitical Zones" Iconic Research And Engineering Journals, 7(8)