干旱区生态环境知识资源中心(Arid): Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India

Arid

DOI	10.1007/s11356-023-25720-3
	Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India
	Bharath, A.; Maddamsetty, Ramesh; Manjunatha, M.; Reshma, T., V
通讯作者	Bharath, A
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2023
卷号	30 期号:49 页码:107084-107103
英文摘要	Karnataka state has the second highest rainfed agricultural land in India, where agricultural output relies heavily on rainfall. The Shimsha basin, a sub-basin of Cauvery in the state, comes under a semi-arid region and predominantly consists of rainfed agricultural land. Rainfall patterns have changed dramatically with time resulting in frequent floods and droughts. Understanding the spatiotemporal distribution of rainfall and its change patterns in the area would benefit sustainable agriculture planning and water resources management practices. The current study aims to determine the variability and trend in rainfall. The daily rainfall data of the Shimsha basin from 1989 to 2018 is collected, and the annual, seasonal, and monthly rainfall totals and the number of rainy days are derived. All the time series are subjected to statistical methods to examine rainfall variability and trend. The mean, standard deviation, coefficient of variation (CV), and Standardized Anomaly Index are used for the preliminary and variability analysis, while the coefficient of skewness and kurtosis are used to understand the rainfall distribution characteristics. The homogenous and serially independent series are identified by homogeneity and serial correlation tests. The trend in the homogenous and serially independent series is identified by Mann-Kendall and Spearman's rank correlation tests, while the magnitude of the trend is quantified using the Sen's slope technique, and the trend change point is evaluated using the sequential Mann-Kendall test. Based on the study, the average rainfall in the study area is 801.86 mm, with CV ranging from 43.3 to 22.27%. The southwest monsoon (SWM) season brings the greatest rain to the basin, followed by the post-monsoon (PM), summer, and winter seasons. In the annual time frame, except one station, all other stations have shown significant or insignificant increasing trends. The seasonal rainfall has shown insignificant rising trends during the summer and winter seasons while insignificant increasing and decreasing trends during the PM season. The SWM season has indicated significant increasing trends, insignificant increasing and decreasing trends. Overall, the study area has noticed an increased annual and seasonal rainfall except for the post-monsoon season, during which the rainfall showed a considerable decline. The findings of the study are helpful in water resource management, agricultural planning, and socioeconomic development in the study area.
英文关键词	Trend analysis Homogeneity test Mann-Kendall test Spearman correlation coefficient test Sen's slope estimator Sequential Mann-Kendall test
类型	Article
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000933936000003
WOS关键词	PRECIPITATION ; HOMOGENEITY ; TEMPERATURE ; ETHIOPIA ; DROUGHT ; EVENTS ; REGION ; TESTS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396286
推荐引用方式 GB/T 7714	Bharath, A.,Maddamsetty, Ramesh,Manjunatha, M.,et al. Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India[J],2023,30(49):107084-107103.
APA	Bharath, A.,Maddamsetty, Ramesh,Manjunatha, M.,&Reshma, T., V.(2023).Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,30(49),107084-107103.
MLA	Bharath, A.,et al."Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 30.49(2023):107084-107103.