Adane Asnake, Asmerom Birhanu
Department of Geography and Environmental Studies, Wollo University, Dessie, Ethiopia.
Department of Physics (Atmospheric Physics), Wollo university, Dessie, Ethiopia.
PLoS One. 2025 Jan 24;20(1):e0312889. doi: 10.1371/journal.pone.0312889. eCollection 2025.
Ethiopia's agriculture is mostly dependent on rain, though the rainfall distribution and amount are varied in spatiotemporal context. The study was conducted to analyze the distribution, trends, and variability of monthly, seasonal, and annual rainfall data over the Wollo area from 1981 to 2022. To accomplish this, the study utilized the Climate Hazards Group Infrared Precipitation with Stations version two (CHIRPS-v2) data. Standard Rainfall Anomaly Index (SRA) and Coefficient of Variation (CV) were employed to examine rainfall variability and develop drought indices over southern Ethiopia. The Modified Mann Kendall (MMK) test, Sen's slope estimator and the innovative trend analysis (ITA) were employed to detect temporal changes in rainfall trends over the study period. The study found that the area experienced considerable rainfall variability and change, resulting in extended drought and flood events within the study period. Results from SRA and CV revealed interannual and seasonal rainfall variability, with the proportions of years below and above the long-term mean being estimated at 56% and 44%, respectively. The MMK test showed that the annual rainfall during the Kiremt (summer-main rainy season) had an increasing trend. On the other hand, rainfall for the Belg (short rain season for the study area) season and the Bega (winter) season showed a significantly decreasing trend (p < 0.05). Results from the innovative trend analysis (ITA) also revealed that the annual and seasonal rainfall trends exhibited different trends in varied magnitude for different stations. On a spatial basis, the eastern and northeastern regions of the study area showed trends of increasing rainfall during the Kiremt (JJA). Decision-makers and development planners need to design strategies to mitigate the risks posed by changes in rainfall variability and distribution and enhance community adaptation and mitigation capacities in Wollo, Ethiopia.
埃塞俄比亚的农业主要依赖降雨,尽管降雨的分布和数量在时空上存在差异。本研究旨在分析1981年至2022年沃洛地区月、季和年降雨数据的分布、趋势和变异性。为此,该研究使用了气候灾害组红外降水与地面站版本二(CHIRPS-v2)数据。采用标准降雨异常指数(SRA)和变异系数(CV)来检验降雨变异性,并制定埃塞俄比亚南部的干旱指数。使用修正曼-肯德尔(MMK)检验、森斜率估计器和创新趋势分析(ITA)来检测研究期间降雨趋势的时间变化。研究发现,该地区经历了相当大的降雨变异性和变化,导致研究期间干旱和洪水事件延长。SRA和CV的结果揭示了年际和季节降雨变异性,低于和高于长期平均值的年份比例分别估计为56%和44%。MMK检验表明,基尔梅特(夏季主要雨季)期间的年降雨量呈增加趋势。另一方面,贝尔格(研究区域的短雨季)季节和贝加(冬季)季节的降雨量呈显著下降趋势(p<0.05)。创新趋势分析(ITA)的结果还表明,不同站点的年和季节降雨趋势在不同幅度上呈现出不同趋势。在空间上,研究区域的东部和东北部地区在基尔梅特(6-8月)期间呈现降雨增加趋势。决策者和发展规划者需要设计策略,以减轻降雨变异性和分布变化带来的风险,并提高埃塞俄比亚沃洛地区社区的适应和缓解能力。