Identification of Hydrological Drought in Eastern China Using a Time-Dependent Drought Index
Zou, Lei1; Xia, Jun1,2; Ning, Like3; She, Dunxian1; Zhan, Chesheng2
Source PublicationWATER
Corresponding AuthorXia, Jun(xiajun666@whu.edu.cn) ; Ning, Like(ninglk@igsnrr.ac.cn)
AbstractLong records (1960-2013) of monthly streamflow observations from 8 hydrological stations in the East Asian monsoon region are modeled using a nonstationarity framework by means of the Generalized Additive Models in Location, Scale and Shape (GAMLSS). Modeling analyses are used to characterize nonstationarity of monthly streamflow series in different geographic regions and to select optimal distribution among five two-parameter distributions (Gamma, Lognormal, Gumbel, Weibull and Logistic). Based on the optimal nonstationarity distribution, a time-dependent Standardized Streamflow Index (denoted SSIvar) that takes account of the possible nonstationarity in streamflow series is constructed and then employed to identify drought characteristics at different time scales (at a 3-month scale and a 12-month scale) in the eight selected catchments during 1960-2013 for comparison. Results of GAMLSS models indicate that they are able to represent the magnitude and spread in the monthly streamflow series with distribution parameters that are a linear function of time. For 8 hydrological stations in different geographic regions, a noticeable difference is observed between the historical drought assessment of Standardized Streamflow Index (SSI) and SSIvar, indicating that the nonstationarity could not be ignored in the hydrological drought analyses, especially for stations with change point and significant change trends. The constructed SSIvar is, to some extent, found to be more reliable and suitable for regional drought monitoring than traditional SSI in a changing environment, thereby providing a feasible alternative for drought forecasting and water resource management at different time scales.
Keywordhydrological drought Standardized streamflow index nonstationarity GAMLSS
Indexed BySCI
Funding ProjectNational Key R&D Program of China[2017YFA0603702] ; National Natural Science Foundation of China[41701023] ; National Natural Science Foundation of China[41571028]
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China
WOS Research AreaWater Resources
WOS SubjectWater Resources
WOS IDWOS:000428516000080
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorXia, Jun; Ning, Like
Affiliation1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
Recommended Citation
GB/T 7714
Zou, Lei,Xia, Jun,Ning, Like,et al. Identification of Hydrological Drought in Eastern China Using a Time-Dependent Drought Index[J]. WATER,2018,10(3):19.
APA Zou, Lei,Xia, Jun,Ning, Like,She, Dunxian,&Zhan, Chesheng.(2018).Identification of Hydrological Drought in Eastern China Using a Time-Dependent Drought Index.WATER,10(3),19.
MLA Zou, Lei,et al."Identification of Hydrological Drought in Eastern China Using a Time-Dependent Drought Index".WATER 10.3(2018):19.
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