Trend Analysis of Mean Annual Temperature in Sokoto Metropolis Between 1971 And 2020 Using Man-Kendall And Sen’s Slope Estimator
S. E. Asin,
A. A. Umoh and
U. E. Akpan
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S. E. Asin: Department of Physics, University of Uyo, Nigeria
A. A. Umoh: Department of Physics, University of Uyo, Nigeria
U. E. Akpan: Department of Physics, University of Uyo, Nigeria
International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 6, 822-833
Abstract:
Information on trends and changes in atmospheric conditions over a given region can enhance good policy making to develop strategies to curb heat waves and disaster risk management. The time series temperature data between 1971 and 2020 (50 years) of Sokoto Metropolis was used in this study to identify the trend and slope magnitude in the series. The trend was analyzed using the Mann-Kendal non-parametric test and the Sen’s slope estimator was used to estimate the degree or rate of increase or decrease. Linear regression was employed to evaluate the linear trend in the data and coefficient of variation, CV was used to estimate the level of variability. The decadal trend analysis shows an increasing trend as indicated by the Mann-Kendall’s tau and p-value of +0.48 and 7.8 x 10 -5 (
Date: 2025
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