Evaluation of rainfall patterns and spatiotemporal variability: the case of Gurage Zone, Ethiopia

ABSTRACT This study presents the first comprehensive assessment of rainfall trends and variability in Ethiopia's Gurage Zone, employing Sen's slope estimator, the Mann–Kendall (MK) test, and innovative trend analysis (ITA), complemented by the coefficient of variation (CV) and standard anomaly index (SAI) metrics. The results revealed high rainfall variability (CV = 18.14–158.8%), particularly in the summer (Kiremt) and spring (Tsedey) seasons within highland agroclimatic regions. Seasonal distribution showed maximum rainfall in the summer (1,045.18 mm) and minimum in the winter (43.29–102.25 mm). Spatially, the northwestern areas received higher rainfall than the eastern parts. The trend analysis indicated a significant decreasing trend in the winter, with Buie (Z = −2.93) and Koshe (Z = −2.94) showing the strongest declines. Additionally, Butajira and Ejersalele stations exhibited significant monthly trends at the 10% level, with January showing the most pronounced decline. Overall, the findings highlight substantial rainfall variability and declining trends, offering critical, novel insights for climate research, policy formulation, and strategic water resource management in an area previously unexamined.

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Publication Details

Journal
H2Open Journal
Published
2025-11-24
DOI
https://doi.org/10.2166/h2oj.2025.046
Primary Topic
Hydrology and Drought Analysis
Type
article
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article

Evaluation of rainfall patterns and spatiotemporal variability: the case of Gurage Zone, Ethiopia

Mezen Desse Agza, Andwelam Leta Assefa, Tebikew Dereje Alemu
H2Open Journal
Hydrology and Drought Analysis
article

Evaluation of rainfall patterns and spatiotemporal variability: the case of Gurage Zone, Ethiopia

Mezen Desse Agza, Andwelam Leta Assefa, Tebikew Dereje Alemu
article en

Abstract

ABSTRACT This study presents the first comprehensive assessment of rainfall trends and variability in Ethiopia's Gurage Zone, employing Sen's slope estimator, the Mann–Kendall (MK) test, and innovative trend analysis (ITA), complemented by the coefficient of variation (CV) and standard anomaly index (SAI) metrics. The results revealed high rainfall variability (CV = 18.14–158.8%), particularly in the summer (Kiremt) and spring (Tsedey) seasons within highland agroclimatic regions. Seasonal distribution showed maximum rainfall in the summer (1,045.18 mm) and minimum in the winter (43.29–102.25 mm). Spatially, the northwestern areas received higher rainfall than the eastern parts. The trend analysis indicated a significant decreasing trend in the winter, with Buie (Z = −2.93) and Koshe (Z = −2.94) showing the strongest declines. Additionally, Butajira and Ejersalele stations exhibited significant monthly trends at the 10% level, with January showing the most pronounced decline. Overall, the findings highlight substantial rainfall variability and declining trends, offering critical, novel insights for climate research, policy formulation, and strategic water resource management in an area previously unexamined.

H2Open JournalVol. 9(1)
Wolkite University (ET)
Openalex Percentile: Top 66%
Hydrology and Drought Analysis
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