干旱区生态环境知识资源中心(Arid): Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957-2019)

Arid

DOI	10.3390/w12092335
	Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957-2019)
	Gao, Feng; Wang, Yunpeng; Chen, Xiaoling; Yang, Wenfu
通讯作者	Chen, XL
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:9
英文摘要	Changes in rainfall play an important role in agricultural production, water supply and management, and social and economic development in arid and semi-arid regions. The objective of this study was to examine the trend of rainfall series from 18 meteorological stations for monthly, seasonal, and annual scales in Shanxi province over the period 1957-2019. The Mann-Kendall (MK) test, Spearman's Rho (SR) test, and the Revised Mann-Kendall (RMK) test were used to identify the trends. Sen's slope estimator (SSE) was used to estimate the magnitude of the rainfall trend. An autocorrelation function (ACF) plot was used to examine the autocorrelation coefficients at various lags in order to improve the trend analysis by the application of the RMK test. The results indicate remarkable differences with positive and negative trends (significant or non-significant) depending on stations. The largest number of stations showing decreasing trends occurred in March, with 10 out of 18 stations at the 10%, 5%, and 1% levels. Wutai Shan station has strong negative trends in January, March, April, November, and December at the level of 1%. In addition, Wutai Shan station also experienced a significant decreasing trend over four seasons at a significance level of 1% and 10%. On the annual scale, there was no significant trend detected by the three identification methods for most stations. MK and SR tests have similar power for detecting monotonic trends in rainfall time series data. Although similar results were obtained by the MK/SR and RMK tests in this study, in some cases, unreasonable trends may be provided by the RMK test. The findings of this study could benefit agricultural production activities, water supply and management, drought monitoring, and socioeconomic development in Shanxi province in the future.
英文关键词	trend analysis nonparametric trend identification Mann– Kendall test Spearman’ s Rho test revised Mann– Kendall test
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000581282300001
WOS关键词	SINDH RIVER-BASIN ; MANN-KENDALL ; TEMPORAL VARIABILITY ; PRECIPITATION ; ENSO ; PATTERNS ; TESTS ; SINGAPORE ; EXTREMES ; INDEXES
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/2XILL650/327045
作者单位	[Gao, Feng] Shanxi Univ Finance & Econ, Sch Resources & Environm, Taiyuan 030006, Peoples R China; [Wang, Yunpeng] Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China; [Chen, Xiaoling] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China; [Yang, Wenfu] China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China; [Yang, Wenfu] Shanxi Coal Geol Geophys Surveying Explorat Inst, Shanxi Key Lab Resources Environm & Disaster Moni, Jinzhong 030600, Peoples R China
推荐引用方式 GB/T 7714	Gao, Feng,Wang, Yunpeng,Chen, Xiaoling,et al. Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957-2019)[J],2020,12(9).
APA	Gao, Feng,Wang, Yunpeng,Chen, Xiaoling,&Yang, Wenfu.(2020).Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957-2019).WATER,12(9).
MLA	Gao, Feng,et al."Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957-2019)".WATER 12.9(2020).