干旱区生态环境知识资源中心(Arid): Spatiotemporal analysis of trend using nonparametric tests for rainfall and rainy days in Jodhpur and Kota zones of Rajasthan (India)

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DOI	10.1007/s12517-020-05687-y
	Spatiotemporal analysis of trend using nonparametric tests for rainfall and rainy days in Jodhpur and Kota zones of Rajasthan (India)
	Kumar, Yogesh; Kumar, Anil
通讯作者	Kumar, Y
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2020
卷号	13 期号:15
英文摘要	Climate change has serious impacts on meteorological processes that have significant control on water resource planning, development, and management. These impacts emerge in the form of trends. The present study was undertaken to assess the temporal trends of annual rainfall and rainy days in Jodhpur and Kota zones of Rajasthan, India, using nonparametric Mann-Kendall (MK), modified Mann-Kendall (MMK), and Theil-Sen slope estimator tests along with innovative trend analysis (ITA) method based on 60 years data (1957-2016). Spatial trend analysis was accomplished using the inverse distance weighted (IDW) method. Out of 34 stations in the Jodhpur zone, the annual rainfall at eight stations had a statistically significant increasing trend at a 5% level of significance. In the case of annual rainy days, only two stations showed a significant increasing trend. The ITA method was found to be superior to the MK test as it was able to identify trends in different clusters which were not done by the MK test as it gives monotonous trends only. The significantly increasing trends in rainfall at eight stations in the Jodhpur zone revealed the impact of climate change in the Rajasthan state which is considered as an arid state. This could be attributed to various anthropogenic and climatic activities taking place in this region. The results of this study could serve as a preliminary information for water resources and agricultural planning and management and designing of soil and water conservation structures for improving the water availability status of the region which would aid in a sustainable development of the resources at a decentralized level.
英文关键词	India Innovative trend analysis Mann-Kendall test Rainfall Rainy days
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000552402400003
WOS关键词	MANN-KENDALL ; TEMPORAL TRENDS ; CLIMATE-CHANGE ; PRECIPITATION ; TEMPERATURE ; CHINA ; BASIN ; STATE
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325208
作者单位	[Kumar, Yogesh; Kumar, Anil] Govind Ballabh Pant Univ Agr & Technol, Dept Soil & Water Conservat Engn, Coll Technol, Pantnagar 263145, Uttarakhand, India
推荐引用方式 GB/T 7714	Kumar, Yogesh,Kumar, Anil. Spatiotemporal analysis of trend using nonparametric tests for rainfall and rainy days in Jodhpur and Kota zones of Rajasthan (India)[J],2020,13(15).
APA	Kumar, Yogesh,&Kumar, Anil.(2020).Spatiotemporal analysis of trend using nonparametric tests for rainfall and rainy days in Jodhpur and Kota zones of Rajasthan (India).ARABIAN JOURNAL OF GEOSCIENCES,13(15).
MLA	Kumar, Yogesh,et al."Spatiotemporal analysis of trend using nonparametric tests for rainfall and rainy days in Jodhpur and Kota zones of Rajasthan (India)".ARABIAN JOURNAL OF GEOSCIENCES 13.15(2020).