干旱区生态环境知识资源中心(Arid): Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

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DOI	10.3390/w12010211
	Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India
	Patakamuri, Sandeep Kumar 1; Muthiah, Krishnaveni 1; Sridhar, Venkataramana 2
通讯作者	Patakamuri, Sandeep Kumar
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:1
英文摘要	The objective of this study is to evaluate the homogeneity, trend, and trend change points in the rainfall data. Daily rainfall data was collected for the arid district of Ananthapuramu, Andhra Pradesh state, India from 1981 to 2016 at the subdistrict level and aggregated to monthly, annual, seasonal rainfall totals, and the number of rainy days. After quality checks and homogeneity analysis, a total of 27 rain gauge locations were considered for trend analysis. A serial correlation test was applied to all the time series to identify serially independent series. NonParametric Mann-Kendall test and Spearman's rank correlation tests were applied to serially independent series. The magnitude of the trend was calculated using Sen's slope method. For the data influenced by serial correlation, various modified versions of Mann-Kendall tests (pre-whitening, trend-free pre-whitening, bias-corrected pre-whitening, and two variants of variance correction approaches) were applied. A significant increasing summer rainfall trend is observed in six out of 27 stations. Significant decreasing trends are observed at two stations during the southwest monsoon season and at two stations during the northeast monsoon season. To identify the trend change points in the time series, distribution-free cumulative sum test, and sequential Mann-Kendall tests were applied. Two open-source library packages were developed in R language namely, modifiedmk and trendchange to implement the statistical tests mentioned in this paper. The study results benefit water resource management, drought mitigation, socio-economic development, and sustainable agricultural planning in the region.
英文关键词	trend analysis nonparametric trend tests Mann-Kendall modified Mann-Kendall climate change modifiedmk trendchange
类型	Article
语种	英语
国家	India ; USA
开放获取类型	Green Published, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000519847200211
WOS关键词	CLIMATE-CHANGE ; MANN-KENDALL ; WATER-RESOURCES ; DETECT TREND ; TEMPERATURE ; TESTS ; HOMOGENIZATION ; VULNERABILITY ; SERIES
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315704
作者单位	1.Anna Univ, Ctr Water Resources, Chennai 600025, Tamil Nadu, India; 2.Virginia Polytech Inst & State Univ, Dept Biol Syst, Blacksburg, VA 24061 USA
推荐引用方式 GB/T 7714	Patakamuri, Sandeep Kumar,Muthiah, Krishnaveni,Sridhar, Venkataramana. Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India[J],2020,12(1).
APA	Patakamuri, Sandeep Kumar,Muthiah, Krishnaveni,&Sridhar, Venkataramana.(2020).Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India.WATER,12(1).
MLA	Patakamuri, Sandeep Kumar,et al."Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India".WATER 12.1(2020).