Predictive models for the estimation of riverbank erosion rates
Riverbank erosion is a complex soil-water interaction process, highly dynamic and constantly changing. Consequently, the estimation of riverbank erosion rate requires an in-depth understanding between the riverbank properties and the hydraulic characteristics of the river. Given the complexity of pr...
Published in: | Catena |
---|---|
Main Author: | Saadon A.; Abdullah J.; Muhammad N.S.; Ariffin J.; Julien P.Y. |
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091977599&doi=10.1016%2fj.catena.2020.104917&partnerID=40&md5=8c2853755439618d1e299bc4a757de3d |
Similar Items
-
Riverbank erosion rates prediction incorporating soil erodibility and soil properties relationship: Bernam River, Malaysia case study
by: Ibrahim S.L.; Ariffin J.; Saadon A.
Published: (2017) -
Nonlinear multi independent variables in quantifying river bank erosion using Neural Network AutoRegressive eXogenous (NNARX) model
by: Saadon A.; Abdullah J.; Mohd Yassin I.; Muhammad N.S.; Ariffin J.
Published: (2024) -
Envelope curves for the specific discharge of extreme floods in Malaysia
by: Abdullah J.; Muhammad N.S.; Muhammad S.A.; Julien P.Y.
Published: (2019) -
Nonlinear multi independent variables in quantifying river bank erosion using Neural Network AutoRegressive eXogenous (NNARX) model
by: Saadon, et al.
Published: (2024) -
Assessment of hydraulic conductivity improvement due to vibration application at riverbank
by: Baharudin F.; Hamzah N.; Mohamad I.N.; Zaki Z.Z.M.
Published: (2021)