Development of a linear–nonlinear hybrid special model to predict monthly runoff in a catchment area and evaluate its performance with novel machine learning methods

Development of a linear–nonlinear hybrid special model to predict monthly runoff in a catchment area and evaluate its performance with novel machine learning methods

Abstract Accurate forecasting of runoff as an important hydrological variable is a key task for water resources planning and management. Given the importance of this variable, in the current study, a multivariate linear stochastic model (MLSM) is combined with a multilayer nonlinear machine learning...

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Bibliographic Details
Main Authors: Fereshteh Nourmohammadi Dehbalaei, Arash Azari, Ali Akbar Akhtari
Format: Article
Language:English
Published: SpringerOpen 2023-04-01
Series:Applied Water Science
Subjects:
Exogenous variable
Hybrid model
Normalized Difference Vegetation Index (NDVI)
Runoff
Quebec basin
Online Access:https://doi.org/10.1007/s13201-023-01917-2

Internet

https://doi.org/10.1007/s13201-023-01917-2

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