Publication:
Application of non-parametric approaches to identify trend in streamflow during 1976�2007 (Naula watershed)

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dc.citedby15
dc.contributor.authorMalik A.en_US
dc.contributor.authorKumar A.en_US
dc.contributor.authorNajah Ahmed A.en_US
dc.contributor.authorMing Fai C.en_US
dc.contributor.authorAbdulmohsin Afan H.en_US
dc.contributor.authorSefelnasr A.en_US
dc.contributor.authorSherif M.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid56486779100en_US
dc.contributor.authorid57214421363en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid57214146115en_US
dc.contributor.authorid56436626600en_US
dc.contributor.authorid6505592467en_US
dc.contributor.authorid7005414714en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T08:09:46Z
dc.date.available2023-05-29T08:09:46Z
dc.date.issued2020
dc.descriptionCatchments; Information management; Runoff; Stream flow; Time series; Water management; Watersheds; Climate change scenarios; Hydrological data; Nonparametric approaches; Positive/negative; River catchment; Sustainable planning; Temporal trends; Water resources management; Climate changeen_US
dc.description.abstractThe identification of trends in hydrological data is crucial for sustainable planning and management of water resources under the climate-change scenario. This research, identify the long-term temporal trend and magnitude (m3/s/time scale) in monthly, seasonal, and annual streamflow by employing three non-parametric approaches conventional Mann-Kendall (MK), Innovative-?en trend (I?T), and Sen-slope (SS) on 5% level of significance. The monthly streamflow data of 32-years (1976�2007) were recorded at Naula and Kedar stations positioned in the upper Ramganga River catchment (RRC), Uttarakhand State (India). Results of scrutiny reveal a significant negative trend in 17 time-series was detected by conventional MK test, and significant positive/negative trend in 1/30 time-series was inspected by the I?T method with changing magnitude over monthly, seasonal, and annual scales at both stations, respectively. Furthermore, a comparison among results of the MK and I?T showed that the I?T method examined the unseen trend that cannot be detected by the MK technique at the Naula watershed. The pattern of trend detected on annual, seasonal, and monthly time-scales by three non-parametric approaches can help the water resources management authorities and hydrologists to comprehend the hazard and vulnerability under climate-change scenario over the study catchment area. � 2020 Faculty of Engineering, Alexandria Universityen_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.aej.2020.04.006
dc.identifier.epage1606
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85085940183
dc.identifier.spage1595
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085940183&doi=10.1016%2fj.aej.2020.04.006&partnerID=40&md5=663a71c717dc9c5baebdcd16e564d1ce
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25467
dc.identifier.volume59
dc.publisherElsevier B.V.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleAlexandria Engineering Journal
dc.titleApplication of non-parametric approaches to identify trend in streamflow during 1976�2007 (Naula watershed)en_US
dc.typeArticleen_US
dspace.entity.typePublication
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