Temporal Dynamics and Trend Analysis of Areal Rainfall in Muger Subwatershed, Upper Blue Nile, Ethiopia

IF 2.1 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Advances in Meteorology Pub Date : 2024-04-16 DOI:10.1155/2024/6261501
Alene Moshe, Manamno Beza
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Abstract

This study was employed to investigate the temporal variability and trend analysis of areal rainfall in the Muger subwatershed, Upper Blue Nile, Ethiopia. The study was run over the following procedures to handle the main objective: (1) determining the areal rainfall from gauged point rainfall using the Thiessen polygon method, (2) grouping the months in the season according to the study area, (3) evaluating the temporal dynamics of annual and seasonal areal rainfall using the coefficient of variation (CV), standard anomaly index (SAI), and precipitation concentration index (PCI), and (4) analyzing the trend of annual and seasonal areal rainfall using modified Mann–Kendall’s (modifiedmk) test in RStudio. Based on the temporal variability analysis, CV results depict that annual and summer areal rainfall had low variability with values of 13.43% and 13.7%, respectively. Winter and spring areal rainfall shows high variation with a CV value of 50.5% and 36%, respectively. According to the SAI output, around 70% of the considered year was in the normal condition of wetness. On the other hand, the seasonal (winter, spring, and summer) rainfall distribution of the study area shows strong irregularity distribution throughout the considered years as a result of PCI with a value of 57.5%. The trend of the areal rainfall was shown to be both increasing and decreasing. However, the trend was insignificant with a 10% confidence level.
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埃塞俄比亚青尼罗河上游 Muger 流域全流域降雨量的时间动态和趋势分析
本研究旨在调查埃塞俄比亚上青尼罗河穆格尔分水岭地区降雨量的时间变化和趋势分析。为实现主要目标,研究采用了以下程序:(1) 使用 Thiessen 多边形方法根据测点降雨量确定等降雨量;(2) 根据研究区域将季节月份分组;(3) 使用变异系数(CV)、标准异常指数(SAI)和降水集中指数(PCI)评估年降雨量和季节降雨量的时间动态;(4) 使用 RStudio 中的修正 Mann-Kendall 检验(modifiedmk)分析年降雨量和季节降雨量的趋势。根据时间变异性分析,CV 结果显示,年平均降雨量和夏季平均降雨量的变异性较低,分别为 13.43% 和 13.7%。冬季和春季的平均降雨量变化较大,CV 值分别为 50.5% 和 36%。根据 SAI 输出结果,全年约有 70% 的时间处于正常湿润状态。另一方面,由于 PCI 值为 57.5%,研究区域的季节性(冬、春、夏)降雨分布在所考虑的年份中呈现出强烈的不规则分布。降雨量的幅值呈上升和下降趋势。然而,在 10%的置信水平下,该趋势并不显著。
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来源期刊
Advances in Meteorology
Advances in Meteorology 地学天文-气象与大气科学
CiteScore
5.30
自引率
3.40%
发文量
80
审稿时长
>12 weeks
期刊介绍: Advances in Meteorology is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of meteorology and climatology. Topics covered include, but are not limited to, forecasting techniques and applications, meteorological modeling, data analysis, atmospheric chemistry and physics, climate change, satellite meteorology, marine meteorology, and forest meteorology.
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