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Variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin, Ethiopia

机译:埃塞俄比亚Omo-Ghibe流域的降雨量和极端事件指数的变化和趋势

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摘要

This study evaluates variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin of Ethiopia based on observed records from six stations. Nine daily rainfall indices were defined and analyzed based on the World Meteorological Organization guideline. Sen's slope estimator and Mann-Kendall's trend test were used to determine the magnitude and statistical significance of the rainfall changes, respectively. The results show complex patterns of rainfall variability and local-scale trends. Statistically significant increasing changes were observed at Key Afer for most of the indices. On the other hand, the increasing trends in the number of very heavy rainfall events(R20mm)were statistically significant at three(Jinka, Key Afer and Wolaita Sodo)out of the six stations. On the other hand, significant decreasing trends were found at Sawla for the maximum one day (Rxl day) and the number of very heavy rainfall event (R20 mm). No systematic trends were found for the number of wet and dry day-related rainfall indices. However, the annual total rainfall averaged for the entire basin and at two stations (Key Afer and Wolaita Sodo) showed statistically significant increasing trends, both at the 0.01 level. Generally, the results of this study contradict with previous studies that reported significant declining trends in annual and Kiremt (main rainy season) rainfall amounts over this part of the country, suggesting the reviving of rainfall during the last two decades. Also, the results of this study agree with previous researches that reported the absence of systematic patterns of trends in daily rainfall indices in different parts of the country. The study has important implications for an effective management of water resources and climate risk management particularly in view of the fact that five hydropower plants and large-scale sugarcane plantations are planned, and some are under construction in the basin.
机译:这项研究根据六个站点的观测记录,评估了埃塞俄比亚奥莫-吉比河流域的降雨量和极端事件指数的变化和趋势。根据世界气象组织的指导方针,定义和分析了九种每日降雨量指数。 Sen的斜率估算器和Mann-Kendall的趋势检验分别用于确定降雨变化的幅度和统计显着性。结果显示降雨变化和地方尺度趋势的复杂模式。对于大多数指数,在Key Afer观察到统计学上显着的增加变化。另一方面,在六个站中的三个站(金卡,基阿费尔和沃拉塔索多),非常强降雨事件(R20mm)的数量增加趋势具有统计学意义。另一方面,在最大一天(Rxl天)和非常强降雨事件的数量(R20 mm),Sawla发现了显着的下降趋势。没有发现与干湿日相关的降雨量指数的系统趋势。但是,整个流域和两个站点(Key Afer和Wolaita Sodo)的年平均总降雨量均显示出统计学上显着的增长趋势,均处于0.01的水平。通常,该研究的结果与先前的研究相矛盾,先前的研究报告了该国该地区年降雨量和Kiremt(主要雨季)降雨量的显着下降趋势,这表明过去二十年来降雨有所恢复。而且,这项研究的结果与以前的研究一致,后者报道了该国不同地区缺乏每日降雨指数趋势的系统模式。这项研究对水资源的有效管理和气候风险管理具有重要意义,特别是考虑到计划建设五个水力发电厂和大规模的甘蔗种植园,而流域正在建设中的事实。

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