Estimation of flow duration and mass flow curves in ungauged tributary streams

Basit Öğe Kaydı
dc.authorid0000-0002-4767-6660
dc.authorid0000-0003-0559-5261
dc.authorid0000-0002-5662-9479
dc.contributor.authorVaheddoost, Babak
dc.contributor.authorYilmaz, Mustafa Utku
dc.contributor.authorSafari, Mir Jafar Sadegh
dc.date.accessioned2026-02-12T21:05:34Z
dc.date.available2026-02-12T21:05:34Z
dc.date.issued2023
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractThe mastery in forecasting the streamflow rates is of great importance in the design, planning and resilience against droughts. Likewise, the application of flow duration and mass flow curves in the design of the reservoir capacity, energy generation, water allocation, etc. especially at the tributary reaches is a great challenge mostly due to the lack of information and data records. In this study, we have developed a methodology to obtain the flow duration curve (FDC) and mass flow curve (MFC) in tributary stream stations with the help of estimated streamflow rates. The procedure suggests using two alternative approaches in the selection of the reference station on the mainstream. The streamflow in the reference station is decomposed into direct runoff (DR) and base flow (BF) using one-parameter digital filter method. Together with the precipitation records in the tributary station, the DR and BF on the reference station are then used to estimate the FDC and MFC. The multivariate adaptive regression spline (MARS) and random forest (RF) methods are used to alternate each other, and the residual of the models are simulated using the autoregressive conditionally heteroscedastic (ARCH) approach to develop the hybrid MARS-ARCH and RF-ARCH models. A data set related to Coruh River Basin, in Turkey is used to confirm the methodology, while results with R2 >= 0.92, reasonable bias, and relative error in the estimation of the expected FDC and MFC rates indicated the robustness of the suggested methodology.
dc.identifier.doi10.1016/j.jclepro.2023.137246
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.scopus2-s2.0-85153562886
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jclepro.2023.137246
dc.identifier.urihttps://hdl.handle.net/20.500.12885/7032
dc.identifier.volume409
dc.identifier.wosWOS:000990269400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofJournal of Cleaner Production
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.subjectAdvanced hydrologic model
dc.subjectCoruh river
dc.subjectStochastic model
dc.subjectUngauged tributary streams
dc.titleEstimation of flow duration and mass flow curves in ungauged tributary streams
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu