Meteorological data trend analysis and local community perception towards climate change: a case study of Jimma City, Southwestern Ethiopia

Dessalegn Obsi Gemeda (), Debela Hunde Feyssa and Weyessa Garedew
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Dessalegn Obsi Gemeda: Jimma University College of Agriculture and Veterinary Medicine
Debela Hunde Feyssa: Jimma University College of Agriculture and Veterinary Medicine
Weyessa Garedew: Jimma University College of Agriculture and Veterinary Medicine

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 4, No 54, 5885-5903

Abstract: Abstract This study examines the trends of temperature and rainfall as an evidence of climate change and variability in Jimma city, southwestern Ethiopia. Historical rainfall and temperature data of forty years (1978–2017) obtained from Ethiopian Meteorological Agency and household questionnaire survey (n=150) were used to assess the climate trend of Jimma city. Descriptive statistics have been used to assess people’s perceptions towards climate change. Rainfall and temperature variability were analyzed using standard deviations, coefficient of variation (CV), rainfall anomaly index and standard precipitation index. The magnitude of the linear trends is estimated using the Sen’s slope estimator, and Mann–Kendall test to check the statistical significance of the trends. Findings revealed that average maximum and minimum temperature showed statistically significant trend. The magnitude of increasing trends of monthly maximum temperature varies between 0.033 and 0.045 °C/year in January and April, respectively. For minimum temperature the magnitude of trends vary between 0.081 °C/year in November and 0.025 °C/year in April. Annual rainfall variability is relatively stable with 11% CV, while monthly rainfall variability was found to be very high in December, January, and February with CV 115, 80, and 75, respectively. The result from household survey shows that 85% perceived the increasing trends of temperature. The community perceived that climate change is having an impact on vector-borne diseases. Our results indicate that climate-borne disease and pests, food insecurity, frequent drought and flooding appear to have a significant relationship with climate change with p value 0.000, 0.029, 0.010, and 0.047, respectively. Thus, it is crucial to plan for climate change adaptation and mitigation strategies to minimize the potential impacts of climate change in the study area.

Keywords: Climate variability; Mann–Kendall; Rainfall anomaly index; Sen's slope; Standard precipitation index (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-020-00851-6

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