干旱区生态环境知识资源中心(Arid): Spatial and Temporal Characterization of Drought Events in China Using the Severity-Area-Duration Method

Arid

DOI	10.3390/w12010230
	Spatial and Temporal Characterization of Drought Events in China Using the Severity-Area-Duration Method
	Yang, Xiaoli 1,2; Zhang, Linyan 1,2; Wang, Yuqian 3; Singh, Vijay P.4; Xu, Chong-Yu 5; Ren, Liliang 1,2; Zhang, Mengru 1,2; Liu, Yi 1,2; Jiang, Shanhu 1,2; Yuan, Fei 1,2
通讯作者	Ren, Liliang
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:1
英文摘要	Global climate change not only affects the processes within the water cycle but also leads to the frequent occurrences of local and regional extreme drought events. In China, spatial and temporal characterizations of drought events and their future changing trends are of great importance in water resources planning and management. In this study, we employed self-calibrating Palmer drought severity index (SC-PDSI), cluster algorithm, and severity-area-duration (SAD) methods to identify drought events and analyze the spatial and temporal distributions of various drought characteristics in China using observed data and CMIP5 model outputs. Results showed that during the historical period (1961-2000), the drought event of September 1965 was the most severe, affecting 47.07% of the entire land area of China, and shorter duration drought centers (lasting less than 6 months) were distributed all over the country. In the future (2021-2060), under both representative concentration pathway (RCP) 4.5 and RCP 8.5 scenarios, drought is projected to occur less frequently, but the duration of the most severe drought event is expected to be longer than that in the historical period. Furthermore, drought centers with shorter duration are expected to occur throughout China, but the long-duration drought centers (lasting more than 24 months) are expected to mostly occur in the west of the arid region and in the northeast of the semi-arid region.
英文关键词	SAD method SC-PDSI drought severity drought center CMIP5 model multi-model ensemble
类型	Article
语种	英语
国家	Peoples R China ; USA ; Norway
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000519847200230
WOS关键词	METEOROLOGICAL DROUGHT ; HYDROLOGICAL DROUGHTS ; CLIMATE MODELS ; RIVER-BASIN ; TEMPERATURE ; PRECIPITATION ; VARIABILITY ; NORTHWEST ; INDEX ; STATE
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
来源机构	河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315706
作者单位	1.Hohai Univ, Coll Hydrol & Water Resources, State Key Lab Hydrol Water Resources & Hydraul, Nanjing 210098, Peoples R China; 2.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China; 3.Northwest Elect Powerdesign Power Design Inst Co, China Power Engn Consulting Grp, Xian 710075, Peoples R China; 4.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA; 5.Univ Oslo, Dept Geosci, NO-0316 Oslo, Norway
推荐引用方式 GB/T 7714	Yang, Xiaoli,Zhang, Linyan,Wang, Yuqian,et al. Spatial and Temporal Characterization of Drought Events in China Using the Severity-Area-Duration Method[J]. 河海大学,2020,12(1).
APA	Yang, Xiaoli.,Zhang, Linyan.,Wang, Yuqian.,Singh, Vijay P..,Xu, Chong-Yu.,...&Yuan, Fei.(2020).Spatial and Temporal Characterization of Drought Events in China Using the Severity-Area-Duration Method.WATER,12(1).
MLA	Yang, Xiaoli,et al."Spatial and Temporal Characterization of Drought Events in China Using the Severity-Area-Duration Method".WATER 12.1(2020).