Arid
DOI10.3390/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
Corresponding AuthorYang, J
JournalREMOTE SENSING
EISSN2072-4292
Year Published2020
Volume12Issue:14
Abstract in EnglishDroughts 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.
Keyword in Englishdrought monitoring drought prediction multiple drought indicators soil moisture precipitation arid
SubtypeArticle
Language英语
OA TypeDOAJ Gold
Indexed BySCI-E
WOS IDWOS:000557178200001
WOS KeywordSOIL-MOISTURE ; METEOROLOGICAL DROUGHT ; SEASONAL PREDICTION ; PRECIPITATION ; INDEX ; XINJIANG ; DYNAMICS ; MODEL ; WATER ; LAND
WOS SubjectRemote Sensing
WOS Research AreaRemote Sensing
Document Type期刊论文
Identifierhttp://119.78.100.177/qdio/handle/2XILL650/325493
Affiliation[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
Recommended Citation
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],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).
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