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Applying a transfer function model to improve the sediment rating curve

  • Published:2024-01-22 Issue: Volume: Page:1-13
  • ISSN:1571-5124
  • Container-title:International Journal of River Basin Management
  • language:en
  • Short-container-title:International Journal of River Basin Management

Author:

Khazaei Moughani Solmaz1,Rezazadeh Shiva2,Azimmohseni Majid3,Rahi Gholamreza4,Bahmanpouri Farhad5

Affiliation:

1. Department of Civil Engineering, Faculty of Hydraulic structures, The Institute of Higher Education of Bonyan, Shahinshahr, Iran

2. Department of Civil Engineering, Urmia University, Urmia, Iran

3. Department of Statistics, Faculty of science, Golestan University, Gorgan, Iran

4. Research and product development, Bushehr, Iran

5. Hydraulic Engineering, Research Institute for Geo-Hydrological Protection, National Research Council (CNR), Perugia, Italy

Publisher

Informa UK Limited

Reference85 articles.

1. Comparison of artificial neural networks and autoregressive model for inflows forecasting of Roseires Reservoir for better prediction of irrigation water supply in Sudan;Abdellatif M. E.;International Journal of River Basin Management,2014

2. Modeling sediment transfer in Malawi: comparing back propagation neural network solutions against a multiple linear regression benchmark using small data sets;Abrahart R. J.;Physics and Chemistry of the Earth,2001

3. Riprap effect on hydraulic fracturing process of cohesive and non-cohesive protective levees;Ahadiyan J.;Water Resource Managment,2022

4. Hysteresis effect on sediment rating curves;Ahanger M. A.;Journal of Academia and Industrial Research,2013

5. Suspended sediment estimation by feed forward back propagation method using hydro meteorological data;Alp M.;Enviroment Modeling Software,2007
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