Degefu Selamawit Bekele, Alamirew Tena, Demessie Sintayehu Fetene
Ethiopian Institute of Water Resources, Addis Ababa University, Ethiopia.
Ethiopian Institute of Agricultural Research, Ethiopia.
Heliyon. 2024 Nov 22;10(23):e40530. doi: 10.1016/j.heliyon.2024.e40530. eCollection 2024 Dec 15.
Long-term trends and variability of hydroclimate variables significantly impact water resources. This study aims to investigate trends and variability of hydroclimate variables in the Didessa sub-basin. Modified Mann-Kendall and Sen's slope estimators were used to analyze the trends. At the same time, variability was assessed using the standardized anomaly index (SAI), precipitation concentration index (PCI), and coefficient of variation (CV). The seasonal and annual rainfall trend analysis results showed an increasing tendency, except for the winter. The PCI and SAI results for most of the stations in the sub-basin exhibit moderate rainfall concentration. The sub-basin mean temperature showed a significant upward trend, with annual average rates of +0.02 °C. Analysis of streamflow at Arjo and Bunobedele stations showed a significant upward trend of 0.5 m/s/yr and 0.015 m/s/yr, respectively, in the spring season. Mixed trends were observed at upstream stations; Big Anger exhibits a downward trend with a declining rate of 3.04 m/s/yr, while Little Anger displays a rising trend with an increasing rate of 0.25 m/s/yr. Flow data at upstream and downstream gauged stations positively correlated with mean rainfall. The findings of this study have significant implications for water resource management and climate change mitigation by giving insight to policymakers and water resource managers in developing adaptation strategies for changing hydroclimate conditions to ensure sustainable water utilization globally.
水文气候变量的长期趋势和变率对水资源有重大影响。本研究旨在调查迪德萨次流域水文气候变量的趋势和变率。采用修正的曼-肯德尔法和森斜率估计器分析趋势。同时,使用标准化异常指数(SAI)、降水集中度指数(PCI)和变异系数(CV)评估变率。季节和年降雨趋势分析结果表明,除冬季外呈上升趋势。该次流域大多数站点的PCI和SAI结果显示降雨集中度适中。该次流域平均气温呈显著上升趋势,年平均上升速率为+0.02℃。对阿尔乔和布诺贝德莱站的径流分析表明,春季分别有显著的上升趋势,速率为0.5米/秒/年和0.015米/秒/年。上游站点观测到混合趋势;大昂格尔呈下降趋势,下降速率为3.04米/秒/年,而小昂格尔呈上升趋势,上升速率为0.25米/秒/年。上游和下游测量站的流量数据与平均降雨量呈正相关。本研究结果通过为政策制定者和水资源管理者提供见解,帮助他们制定适应不断变化的水文气候条件的策略,以确保全球可持续用水,从而对水资源管理和气候变化缓解具有重要意义。