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Quantile regression and clustering analysis of standardized precipitation index in the Tarim River Basin, Xinjiang, China
Yang, Peng1,2; Xia, Jun1,3; Zhang, Yongyong1; Han, Jian1,2; Wu, Xia1,2
2018-11-01
Source PublicationTHEORETICAL AND APPLIED CLIMATOLOGY
ISSN0177-798X
Volume134Issue:3-4Pages:901-912
Corresponding AuthorXia, Jun(xiaj@igsnrr.ac.cn)
AbstractBecause drought is a very common and widespread natural disaster, it has attracted a great deal of academic interest. Based on 12-month time scale standardized precipitation indices (SPI12) calculated from precipitation data recorded between 1960 and 2015 at 22 weather stations in the Tarim River Basin (TRB), this study aims to identify the trends of SPI and drought duration, severity, and frequency at various quantiles and to perform cluster analysis of drought events in the TRB. The results indicated that (1) both precipitation and temperature at most stations in the TRB exhibited significant positive trends during 1960-2015; (2) multiple scales of SPIs changed significantly around 1986; (3) based on quantile regression analysis of temporal drought changes, the positive SPI slopes indicated less severe and less frequent droughts at lower quantiles, but clear variation was detected in the drought frequency; and (4) significantly different trends were found in drought frequency probably between severe droughts and drought frequency.
DOI10.1007/s00704-017-2313-4
WOS KeywordCLIMATE-CHANGE ; DROUGHT INDEX ; FREQUENCY-ANALYSIS ; WATER-RESOURCES ; NORTHWEST CHINA ; STREAMFLOW ; IMPACTS ; MITIGATION ; RESERVOIR ; RUNOFF
Indexed BySCI
Language英语
Funding ProjectNational Basic Research Program of China (973 Program)[2012CB956204]
Funding OrganizationNational Basic Research Program of China (973 Program)
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000448861400013
PublisherSPRINGER WIEN
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52595
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXia, Jun
Affiliation1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430000, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Yang, Peng,Xia, Jun,Zhang, Yongyong,et al. Quantile regression and clustering analysis of standardized precipitation index in the Tarim River Basin, Xinjiang, China[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2018,134(3-4):901-912.
APA Yang, Peng,Xia, Jun,Zhang, Yongyong,Han, Jian,&Wu, Xia.(2018).Quantile regression and clustering analysis of standardized precipitation index in the Tarim River Basin, Xinjiang, China.THEORETICAL AND APPLIED CLIMATOLOGY,134(3-4),901-912.
MLA Yang, Peng,et al."Quantile regression and clustering analysis of standardized precipitation index in the Tarim River Basin, Xinjiang, China".THEORETICAL AND APPLIED CLIMATOLOGY 134.3-4(2018):901-912.
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