A stochastic approach for the assessment of suspended sediment concentration at the Upper Rhone River basin, Switzerland

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dc.authoridhttps://orcid.org/0000-0002-4767-6660
dc.contributor.authorVaheddoost, Babak
dc.contributor.authorVazifehkhah, Saeed
dc.contributor.authorSafari, Mir Jafar Sadegh
dc.date.accessioned2024-06-10T13:21:32Z
dc.date.available2024-06-10T13:21:32Z
dc.date.issued2022en_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description.abstractThis study addresses the link between suspended sediment concentration, precipitation, streamflow, and direct runoff components. This is important since suspended sediment concentration in the streamflow has invaluable importance in the management of the river basin. For this, the daily streamflow time series in five consecutive stations at Upper Rhone River Basin, a relatively large basin in the Alpine region of Switzerland, daily precipitation at one station, and the twice a week suspended sediment concentration records at the most downstream station between January 1981 and October 2020 are used. Initially, the base flow and the direct runoff associated with streamflow time series are obtained using the sliding interval method. Elasticity analyses between streamflow and suspended sediment concentration together with correlation, autocorrelation, partial autocorrelation, stationarity, and homogeneity are examined by the Augmented Dickey-Fuller and Pettitt's tests, respectively. Then, various stochastic scenarios are generated using the autoregressive moving average exogenous method (ARMAX). It is concluded that the precipitation and direct runoff have fewer effects on the suspended sediment concentration at downstream of the river. Hence, the cumulative effect of the glacier or snowmelt and channel erosion may exceed the effect of rain blown washouts on the suspended sediment concentration at the Port du Scex station. It is found that the ARMAX model results are satisfactory and can be suggested for further application.en_US
dc.identifier.citationVaheddoost B, Vazifehkhah S, Safari MJS. A stochastic approach for the assessment of suspended sediment concentration at the Upper Rhone River basin, Switzerland. Environ Sci Pollut Res Int. 2022 Jun;29(26):39860-39876. doi: 10.1007/s11356-022-18969-7. Epub 2022 Feb 3. PMID: 35113369.
dc.identifier.doi10.1007/s11356-022-18969-7en_US
dc.identifier.endpage39876en_US
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue26en_US
dc.identifier.pmid35113369
dc.identifier.startpage39860en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/2258
dc.identifier.volume29en_US
dc.identifier.wosWOS:000750720700008
dc.identifier.wosqualityQ1
dc.institutionauthorVaheddoost, Babak
dc.institutionauthoridhttps://orcid.org/0000-0002-4767-6660
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.ispartofENVIRONMENTAL SCIENCE AND POLLUTION RESEARCHen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutoregressive moving average exogenousen_US
dc.subjectDirect runoffen_US
dc.subjectStreamflowen_US
dc.subjectSuspended sedimenten_US
dc.subjectUpper Rhone basinen_US
dc.titleA stochastic approach for the assessment of suspended sediment concentration at the Upper Rhone River basin, Switzerlanden_US
dc.typeArticleen_US

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