干旱区生态环境知识资源中心(Arid): Using multiple indexes to analyze temporal and spatial patterns of precipitation and drought in Xinjiang, China

Arid

DOI	10.1007/s00704-020-03302-4
	Using multiple indexes to analyze temporal and spatial patterns of precipitation and drought in Xinjiang, China
	Cai, Guoqing; Chen, Shujun; Liu, Yi; Sun, Huaiwei; Chen, Changqing; Gui, Dongwei; Yan, Dong
通讯作者	Sun, HW
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
EISSN	1434-4483
出版年	2020
卷号	142 期号:1-2 页码:177-190
英文摘要	There is an urgent need to understand the characteristics of both precipitation and drought in arid regions of China. Different indexes may provide differing results in terms of the detection and estimation of the temporal and spatial extent of droughts. In this study, the temporal and spatial characteristics of rainfall and drought at 53 meteorological stations from 1960 to 2016 across the Xinjiang region of China were analyzed. Four precipitation-related indexes (precipitation concentration degree (PCD), precipitation concentration period (PCP), standardized precipitation index (SPI), and long-cycle drought-flood abrupt alternation index (LDFAI)) were used to investigate the spatial and temporal patterns of drought and flood. In addition, the Bayesian method and Pettitt test were used as detection tools to identify changing points in precipitation time series. The study indicated the following: (1) a wetting tendency was evident in recent years and was supported by the upward trend in SPI and inter-decadal variation in summer precipitation; (2) the spatial patterns and tendencies of PCD, PCP, and SPI were markedly different in southern and northern Xinjiang; (3) compared with the Pettitt test, use of the Bayesian method provided data closer to the real drought events; (4) it is suggested that multiple indices be used for detecting precipitation and drought characteristics as use of the SPI may lead to other indexes related to flood and drought risks being ignored.
英文关键词	Precipitation Drought Changing points Xinjiang
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000545055100002
WOS关键词	YANGTZE-RIVER BASIN ; CLIMATE-CHANGE ; EXTREME PRECIPITATION ; TRENDS ; STREAMFLOW ; MAXIMUM ; MIDDLE ; TESTS
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324916
作者单位	[Cai, Guoqing; Chen, Shujun; Sun, Huaiwei; Yan, Dong] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Peoples R China; [Liu, Yi; Gui, Dongwei] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Liu, Yi; Gui, Dongwei] Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China; [Chen, Changqing] Adm Main stream Tarim River Basin, Korla 841000, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Cai, Guoqing,Chen, Shujun,Liu, Yi,et al. Using multiple indexes to analyze temporal and spatial patterns of precipitation and drought in Xinjiang, China[J]. 中国科学院新疆生态与地理研究所,2020,142(1-2):177-190.
APA	Cai, Guoqing.,Chen, Shujun.,Liu, Yi.,Sun, Huaiwei.,Chen, Changqing.,...&Yan, Dong.(2020).Using multiple indexes to analyze temporal and spatial patterns of precipitation and drought in Xinjiang, China.THEORETICAL AND APPLIED CLIMATOLOGY,142(1-2),177-190.
MLA	Cai, Guoqing,et al."Using multiple indexes to analyze temporal and spatial patterns of precipitation and drought in Xinjiang, China".THEORETICAL AND APPLIED CLIMATOLOGY 142.1-2(2020):177-190.