Artificial Neural Networks–Based Model Parameter Transfer in Streamflow Simulation of Brazilian Atlantic Rainforest Watersheds-Reference-Cited by-同舟云学术

Artificial Neural Networks–Based Model Parameter Transfer in Streamflow Simulation of Brazilian Atlantic Rainforest Watersheds

Published:2020-07 Issue:7 Volume:25 Page:05020013
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Vilanova Regiane Souza¹,Zanetti Sidney Sara²,Cecílio Roberto Avelino³^ORCID

Affiliation:

1. Forestry Engineer, Programa de Pós-graduação em Ciências Florestais, Universidade Federal do Espírito Santo, Av. Gov. Lindemberg, 316, Jerônimo Monteiro, ES, CEP 295000-000, Brasil.

2. Professor, Departamento de Ciências Florestais e da Madeira, Universidade Federal do Espírito Santo, Av. Gov. Lindemberg, 316, Jerônimo Monteiro, ES, CEP 295000-000, Brasil.

3. Professor, Departamento de Ciências Florestais e da Madeira, Universidade Federal do Espírito Santo, Av. Gov. Lindemberg, 316, Jerônimo Monteiro, ES, CEP 295000-000, Brasil (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001947

Reference65 articles.

1. River Flow Model Using Artificial Neural Networks

2. Global warming increases the frequency of river floods in Europe

3. Köppen's climate classification map for Brazil

4. SWAT: Model Use, Calibration, and Validation

5. A comparison of single- and multi-site calibration and validation: a case study of SWAT in the Miyun Reservoir watershed, China

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