气候变化领域集成服务门户(CCPortal): Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia

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DOI	10.1007/s12518-024-00554-x
	Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia
	Mekonnen, Esubalew Nebebe; Gebremariam, Ephrem; Fetene, Aramde; Damene, Shimeles
发表日期	2024
ISSN	1866-9298
EISSN	1866-928X
起始页码	16
结束页码	2
卷号	16 期号:2
英文摘要	Climate variability is a highly debated and unavoidable global environmental challenge that has adverse effects on Ethiopia, a developing country. Hence, the objective of this research is to examine the changes in rainfall patterns in Addis Ababa City, Ethiopia, from 1981 to 2018, considering both spatial and temporal aspects. The study utilized a time-series dataset of climate information, which had a spatial resolution of 4 x 4 km, obtained from the National Meteorological Agency of Ethiopia. Supplementary data was also acquired from the Ethiopian Space Science and Geospatial Institute. To examine the rainfall variability, statistical measures such as the coefficient of variation (CV) and standardized anomaly index (SAI) were employed. Geospatial technologies and R programming were also used to perform a non-parametric Mann-Kendall (MK) test and Sen's slope estimator for the investigation of both the trend and magnitude of changes. The annual, Kiremt (main rainy), and Belg (spring) seasons rainfall exhibited low to moderate variability with CV < 20% and CV < 30%, respectively, and very high variability for the Belg season (CV > 30%). The Bega season's variability was extreme (CV > 70%). In contrast, decadal rainfall variability was generally very low (CV < 10%). The months from October to March showed higher inter-monthly variability, with CV exceeding 100%. In contrast, the Kiremt season, July, and August, experienced lower inter-monthly variability (CV < 30%). The western, north-east, and southern parts of Addis Ababa demonstrated relatively higher rainfall variability, and the trends decreased in all seasons and months, except the Kiremt season and the months of May, June, and September. However, none of these seasonal and monthly changes were statistically significant (P > 0.05). The study identified 6 years (1982, 1984, 1997, 1999, 2014, and 2015) with varying degrees of drought. Consequently, the spatio-temporal variability of precipitation should be considered in development plans, disaster risk reduction strategies, and policy measures such as flood management.
英文关键词	Addis Ababa; Climate variability; Drought years; Rainfall variability; Spatio-temporal; Statistical measures
语种	英语
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS记录号	WOS:001175768900001
来源期刊	APPLIED GEOMATICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303676
作者单位	Addis Ababa University; Addis Ababa University; Addis Ababa University
推荐引用方式 GB/T 7714	Mekonnen, Esubalew Nebebe,Gebremariam, Ephrem,Fetene, Aramde,et al. Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia[J],2024,16(2).
APA	Mekonnen, Esubalew Nebebe,Gebremariam, Ephrem,Fetene, Aramde,&Damene, Shimeles.(2024).Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia.APPLIED GEOMATICS,16(2).
MLA	Mekonnen, Esubalew Nebebe,et al."Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia".APPLIED GEOMATICS 16.2(2024).