Nonstationary analysis of water and sediment in the Jinsha River Basin based on GAMLSS model

dc.contributor.authorJin, Haoyu
dc.contributor.authorZhong, Ruida
dc.contributor.authorLiu, Moyang
dc.contributor.authorYe, Changxin
dc.contributor.authorChen, Xiaohong
dc.date.accessioned2024-08-21T04:21:55Z
dc.date.available2024-08-21T04:21:55Z
dc.date.issued2023
dc.date.updated2024-05-12T08:15:41Z
dc.description.abstractNonstationary calculation of sediment load is an important basis for reservoir operation and management. The Jinsha River Basin (JRB) is the most important sediment-producing section of the Yangtze River, and the main source of sediment into the Three Gorges Reservoir (TGR). In this study, three sediment transport nonstationary analysis models were constructed through the Generalized Additive Models for Location, Scale and Shape (GAMLSS) model, namely Mode0, Mode1 and Mode2. The study found that the correlation coefficients between sediment load with runoff and rainfall are 0.78 and 0.73, respectively. Runoff and precipitation can be used as covariates for the nonstationary analysis of sediment transport. The optimal edge distribution of Mode0, Mode1, and Mode2 is Gumbel, Weibull, and Logistic, respectively. Mode2 can accurately describe the nonstationary change of sediment load, and Mode1 can basically reflect the nonstationary change of sediment load. While Mode0 is a consistent model, which cannot reflect the nonstationary change of sediment load over time. Mode2 has a good ability to simulate the quantile changes of sediment load during the training period and the test period, while Mode1 has a weak generalization ability. Mode0 cannot reflect inconsistent changes, and the simulation result is a fixed value. This study provides an important reference for the nonstationary analysis of sediment load under inconsistency conditions in the JRB.
dc.description.sponsorshipThe work described here is supported by National Natural Science Foundation of China (Grant Nos. U1911204, 51861125203), National Key R&D Program of China (2021YFC3001000).
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1436-3240
dc.identifier.urihttps://hdl.handle.net/1885/733715057
dc.language.isoen_AUen_AU
dc.publisherSpringer
dc.rights© 2023 The authors
dc.sourceStochastic Environmental Research and Risk Assessment
dc.subjectSediment load
dc.subjectFlow
dc.subjectNonstationary
dc.subjectGAMLSS
dc.subjectThe Jinsha River Basin
dc.titleNonstationary analysis of water and sediment in the Jinsha River Basin based on GAMLSS model
dc.typeJournal article
local.bibliographicCitation.lastpage4781
local.bibliographicCitation.startpage4765
local.contributor.affiliationJin, Haoyu, School of Civil Engineering, Sun Yat-sen University
local.contributor.affiliationZhong, Ruida, School of Civil Engineering, Sun Yat-sen University
local.contributor.affiliationLiu, Moyang, College of Science, ANU
local.contributor.affiliationYe, Changxin, Sun Yat-sen University
local.contributor.affiliationChen, Xiaohong, School of Civil Engineering, Sun Yat-sen University
local.contributor.authoruidLiu, Moyang, u7093228
local.description.embargo2099-12-31
local.description.notesImported from ARIES
local.identifier.absfor370202 - Climatology
local.identifier.absfor370704 - Surface water hydrology
local.identifier.absfor370903 - Natural hazards
local.identifier.absseo180103 - Atmospheric processes and dynamics
local.identifier.absseo180104 - Weather
local.identifier.absseo190400 - Natural hazards
local.identifier.ariespublicationa383154xPUB43277
local.identifier.citationvolume37
local.identifier.doi10.1007/s00477-023-02540-y
local.identifier.scopusID2-s2.0-85168391147
local.publisher.urlhttps://link.springer.com/
local.type.statusPublished Version
publicationvolume.volumeNumber37

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