埃塞俄比亚北部半干旱高地气候变化下的极端降雨特征

Gebremedhin Kiros, Amba Shetty, L. Nandagiri
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引用次数: 19

摘要

摘要对连续的每日气候数据和广泛的天气记录进行统计分析,对于评估地方和区域尺度上可能的长期水文/气候变化非常重要。在本研究中,使用埃塞俄比亚北部Geba河流域七个气象站1971–2013年(43年)记录的日降雨量数据来研究不同时间尺度下极端降雨指数的趋势。选定的降雨指数侧重于极端降雨措施的强度、频率和持续时间。曼恩-肯德尔趋势测试结果显示,降雨指数的下降趋势主要在几个站点中观察到,尽管在研究期间,大多数站点在95%的显著性水平上没有显示出随时间推移的统计显著趋势。在大多数极端降雨指数中,位于流域下游的Abiadi站显示出统计上显著的增加趋势,而Adigrat站在非常强的降雨天数(R20mm)内呈下降趋势,Mek’ele的连续干旱日数(CDD)和单日最高降雨量(RX1天)在95%的显著性水平上具有统计学意义。这项研究的结果有助于该地区的气候变化研究,并为更好地规划适应不断变化的气候提供投入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extreme rainfall signatures under changing climate in semi-arid northern highlands of Ethiopia
Abstract Statistical analysis of continuous daily climate data and extensive weather records are important to evaluate possible long-term, hydrologic/climatic changes at local and regional scales. In the present study, daily rainfall data recorded in the period 1971–2013 (43 years) at seven meteorological stations distributed in the Geba River basin, northern Ethiopia were used to study trends in extreme rainfall indices at different temporal scales. The selected rainfall indices focus on intensity, frequency, and duration of extreme rainfall measures. The Mann– Kendall trend test results show that decreasing tendencies in the rainfall indices have predominantly observed in several stations, even though most of the stations did not show statistically significant trend over time at 95% significance level during the study period. In majority of the extreme rainfall indices, station Abiadi which is located at the downstream of the basin showed statistically significant increasing trend, while decreasing trend in very heavy rainfall days (R20mm) for Adigrat station, and consecutive dry days (CDD) and highest rainfall amount in one-day period (RX1day) for Mek’ele showed statistically significant at the 95% level of significance. Results of this study contribute to climate change research in the region and provide inputs for better planning toward adapting to changing climate.
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来源期刊
Cogent Geoscience
Cogent Geoscience GEOSCIENCES, MULTIDISCIPLINARY-
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