Estimating Small Reservoir Evaporation Using Machine Learning Models for the Brazilian Savannah-Reference-Cited by-同舟云学术

Estimating Small Reservoir Evaporation Using Machine Learning Models for the Brazilian Savannah

Published:2020-08 Issue:8 Volume:25 Page:05020019
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Althoff Daniel¹^ORCID,Filgueiras Roberto²,Rodrigues Lineu Neiva³

Affiliation:

1. Ph.D. Student, Dept. of Agricultural Engineering, Federal Univ. of Viçosa, Av. Peter Henry Rolfs, s.n., Viçosa, Minas Gerais 36570-900, Brazil (corresponding author). ORCID: .

2. Postdoctoral Researcher, Dept. of Agricultural Engineering, Federal Univ. of Viçosa, Av. Peter Henry Rolfs, s.n., Viçosa, Minas Gerais 36570-900, Brazil.

3. Senior Researcher, Brazilian Agricultural Research Corporation (EMBRAPA) Cerrados, BR-020, Km 18, Planaltina, DF 73310-970, Brazil; Postgraduate Adviser, Dept. of Agricultural Engineering, Federal Univ. of Viçosa, Av. Peter Henry Rolfs, s.n., Viçosa, Minas Gerais 36570-900, Brazil.

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.1943-5584.0001976

Reference66 articles.

1. Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods

2. Improving methods for estimating small reservoir evaporation in the Brazilian Savanna

3. Artificial neural networks and empirical equations to estimate daily evaporation: application to Lake Vegoritis, Greece

4. Spatial distribution of the air temperature in mountainous areas using satellite thermal infra-red data

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