Innovative trend analysis for the streamflow sub-time series of the source Region of the Yangtze River

dc.contributor.authorAhmed, Naveeden
dc.contributor.authorLu, Haishenen
dc.contributor.authorAdeyeri, Oluwafemi E.en
dc.date.accessioned2025-12-16T21:41:04Z
dc.date.available2025-12-16T21:41:04Z
dc.date.issued2024-06-03en
dc.description.abstractThe Mann-Kendall (MK) trend test, Innovative Trend Analysis (ITA), double-ITA (D-ITA), triple-ITA (T-ITA), and Innovative Triangular Trend Analysis (ITTA) were used to analyze long-term trends in the annual and seasonal streamflow of the Tuotuohe and Zhimenda hydrological gauging stations in the Source Region of the Yangtze River (SRYR). The traditional MK test provides the average trends, while the other methods used in this study provide the graphical illustrations and trend stability (monotonic/non-monotonic). For example, the Tuotuohe station during summer using MK showed (0.05 m3/sec/year), and the ITA showed the monotonic increasing trend (1.12 m3/sec/year). In contrast, the ITTA showed unstable (monotonic and non-monotonic) trends while the highest trend magnitude was found from the 2nd to 5th sub-time series (6.6 m3/sec/year) followed by 1st to 5th sub-time series (5.51 m3/sec/year). The ITTA also showed the non-monotonic decreasing trend (-1.09 m3/sec/year) from 1st to 2nd sub-time series. The D-ITA showed the monotonic increasing trend from 1st to 2nd sub-time series (0.83 m3/sec/year). The non-monotonic increasing trend from 2nd to 3rd sub-time series (0.4 m3/sec/year) and T-ITA showed the non-monotonic trend for 1st to 2nd and 2nd to 3rd sub-time series (0.62 and 1.45 m3/sec/year, respectively), whereas the monotonic trend for 3rd to 4th sub-time series (14.94 m3/sec/year). Similarly, there are more instabilities and fluctuations in trend magnitudes found in the ITTA compared to D-ITA, T-ITA, and ITA. At the same time, the MK only provides the average trend values for a given time series. This showed that the ITTA method is better for understanding the trends and fluctuations in any basin, and the traditional MK test cannot detect these fluctuations.en
dc.description.sponsorshipThe author acknowledged the Colege of Hydrology and Water Resources, Hohai University, for providing the flow data used in this study.en
dc.description.statusPeer-revieweden
dc.format.extent20en
dc.identifier.issn0177-798Xen
dc.identifier.otherWOS:001237776300001en
dc.identifier.otherORCID:/0000-0002-9735-0677/work/189655222en
dc.identifier.scopus85195170310en
dc.identifier.urihttps://hdl.handle.net/1885/733795620
dc.language.isoenen
dc.sourceTheoretical and Applied Climatologyen
dc.subjectMann-kendallen
dc.subjectClimate variabilityen
dc.subjectTibetan plateauen
dc.subjectImpactsen
dc.subjectPrecipitationen
dc.subjectChinaen
dc.subjectTemperatureen
dc.subjectHeadwatersen
dc.subjectHydrologyen
dc.subjectExtremesen
dc.titleInnovative trend analysis for the streamflow sub-time series of the source Region of the Yangtze Riveren
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage6770en
local.bibliographicCitation.startpage6751en
local.contributor.affiliationAhmed, Naveed; Hohai Universityen
local.contributor.affiliationLu, Haishen; Hohai Universityen
local.contributor.affiliationAdeyeri, Oluwafemi E.; City University of Hong Kongen
local.identifier.citationvolume155en
local.identifier.doi10.1007/s00704-024-05029-yen
local.identifier.pure7236e162-f1f0-4f25-b99b-3c8402d804f4en
local.identifier.urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=anu_research_portal_plus2&SrcAuth=WosAPI&KeyUT=WOS:001237776300001&DestLinkType=FullRecord&DestApp=WOS_CPLen
local.identifier.urlhttps://www.scopus.com/pages/publications/85195170310en
local.type.statusPublisheden

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