干旱区生态环境知识资源中心(Arid): Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China

Arid

DOI	10.3390/rs12142298
	Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China
	Wang, Yunqian; Yang, Jing; Chen, Yaning; Su, Zhicheng; Li, Baofu; Guo, Hao; De Maeyer, Philippe
通讯作者	Yang, J
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:14
英文摘要	Droughts are one of the costliest natural disasters. Reliable drought monitoring and prediction are valuable for drought relief management. This study monitors and predicts droughts in Xinjiang, an arid area in China, based on the three drought indicators, i.e., the Standardized Precipitation Index (SPI), the Standardized Soil Moisture Index (SSMI) and the Multivariate Standardized Drought Index (MSDI). Results indicate that although these three indicators could capture severe historical drought events in the study area, the spatial coverage, persistence and severity of the droughts would vary regarding different indicators. The MSDI could best describe the overall drought conditions by incorporating the characteristics of the SPI and SSMI. For the drought prediction, the predictive skill of all indicators gradually decayed with the increasing lead time. Specifically, the SPI only showed the predictive skill at a 1-month lead time, the MSDI performed best in capturing droughts at 1- to 2-month lead times and the SSMI was accurate up to a 3-month lead time owing to its high persistence. These findings might provide scientific support for the local drought management.
英文关键词	drought monitoring drought prediction multiple drought indicators soil moisture precipitation arid
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000557178200001
WOS关键词	SOIL-MOISTURE ; METEOROLOGICAL DROUGHT ; SEASONAL PREDICTION ; PRECIPITATION ; INDEX ; XINJIANG ; DYNAMICS ; MODEL ; WATER ; LAND
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
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/2XILL650/325493
作者单位	[Wang, Yunqian; Li, Baofu; Guo, Hao] Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276826, Peoples R China; [Wang, Yunqian; Chen, Yaning] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Wang, Yunqian; De Maeyer, Philippe] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium; [Wang, Yunqian] Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China; [Yang, Jing] Natl Inst Water & Atmospher Res, Christchurch 8000, New Zealand; [Su, Zhicheng] China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China; [De Maeyer, Philippe] Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium
推荐引用方式 GB/T 7714	Wang, Yunqian,Yang, Jing,Chen, Yaning,et al. Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China[J]. 中国科学院新疆生态与地理研究所,2020,12(14).
APA	Wang, Yunqian.,Yang, Jing.,Chen, Yaning.,Su, Zhicheng.,Li, Baofu.,...&De Maeyer, Philippe.(2020).Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China.REMOTE SENSING,12(14).
MLA	Wang, Yunqian,et al."Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China".REMOTE SENSING 12.14(2020).