Bivariate analysis of river flow and suspended sediment load in Aharchai Basin, Iran
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-10526-3.pdf
Reference72 articles.
1. Abdi A, Hassanzadeh Y, Talatahari S, Fakheri-Fard A, Mirabbasi R (2017a) Parameter estimation of copula functions using an optimization-based method. Theoret Appl Climatol 129(1–2):21–32. https://doi.org/10.1007/s00704-016-1757-2
2. Abdi A, Hassanzadeh Y, Talatahari S, Fakheri-Fard A, Mirabbasi R (2017b) Regional bivariate modeling of droughts using L-comoments and copulas. Stoch Env Res Risk Assess 31(5):1199–1210. https://doi.org/10.1007/s00477-016-1222-x
3. Abdi A, Hassanzadeh Y, Talatahari S, Fakheri-Fard A, Mirabbasi R (2017c) Regional drought frequency analysis using L-moments and adjusted charged system search. J Hydroinf 19(3):426–442. https://doi.org/10.2166/hydro.2016.228
4. Abdollahi A, Akhoond-Ali AM, Mirabbasi R, Adamowski JF (2019) Probabilistic event based rainfall-runoff modeling using copula functions. Water Resour Manage 33(11):3799–3814. https://doi.org/10.1007/s11269-019-02339-z
5. Ahmadi F, Radmanesh F, Sharifi MR, Mirabbasi R (2018) Bivariate frequency analysis of low flow using copula functions (case study: Dez River Basin, Iran). Environ Earth Sci 77:643. https://doi.org/10.1007/s12665-018-7819-2
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1. Modeling of daily suspended sediment load by trivariate probabilistic model (case study, Allah River Basin, Iran);Journal of Soils and Sediments;2023-08-21
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