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Updated: Jul 8, 2025

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
Published on: April 3, 2014
Trend analysis of rainfall from 1981-2022 over Zambia
Charles B Chisanga1, Edson Nkonde2, Elijah Phiri3
1Copperbelt University, School of Natural Resources, Plant and Environmental Sciences, P. O. Box 21692, Kitwe, Zambia.
Abstract:
There is insufficient paucity of information on trends in long-term monthly and decadal rainfall in Zambia. This study assessed the monthly and decadal trends in rainfall over the agro-ecological regions (AERs) and Zambia from 1981 to 2022. The Mann-Kendall test statistic was used at 5 % significant level to compute trends in rainfall at monthly and decadal time step on CHIRPS v2 at 0.05° resolution. R/RStudio Sen's slope estimator was used to give the magnitude of the observed trends. The monthly rainfall time series trend over Zambia ranges from -0.04 to 0.03. The decadal trend analysis of rainfall at annual and monthly time step exhibits a decreasing/increasing trend with Sen's slope between -49.27 and 71.26 mm. Decadal trend at annual time step in AERIII, AERIIa, AERIIa and AERI exhibits a Sen's slope of -44.11 to 62.48 mm, -15.29 to 41.58 mm, -6.08 and 71.26 mm, and 2.20-64.86 mm, respectively. The decadal trend at monthly time step in AERIII, AERIIa, AERIIa and AERI exhibits a Sen's slope of -132.08 to -3.15 mm, -123.39 to -8.57 mm, -73.08 to -15.17 mm, and -80.02 to -5.21 mm, respectively. Decrease in rainfall is expected to affect agriculture, energy, water resources, sanitation and socio-economic aspects. Rainfall pattern shows spatio-temporal variability over Zambia. The results provide valuable input into the National Adaptation Plan and also useful for strategic planning purposes in water resources management under a changing climate. It is evident that spatio-temporal time steps utilized in this study provides new insights of rainfall trends at seasonal, monthly, and annual and decadal time steps.
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