Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling

Accurate streamflow prediction is essential in reservoir management, flood control, and operation of irrigation networks. In this study, the deterministic and stochastic components of modeling are considered simultaneously. Two nonlinear time series models are developed based on autoregressive condi...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Zhen Wang, Nasrin Fathollahzadeh Attar, Keivan Khalili, Javad Behmanesh, Shahab S. Band, Amir Mosavi, Kwok-wing Chau
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2020-01-01
Colecção:	Engineering Applications of Computational Fluid Mechanics
Assuntos:	integrated hybrid models nonlinear time series models streamflow modeling gene expression programming urmia lake basin stochastic and deterministic
Acesso em linha:	http://dx.doi.org/10.1080/19942060.2020.1830858
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!