Identifying Regional Models for Flow Duration Curves with Evolutionary Polynomial Regression: Application for Intermittent Streams-Reference-Cited by-同舟云学术

Identifying Regional Models for Flow Duration Curves with Evolutionary Polynomial Regression: Application for Intermittent Streams

Published:2020-01 Issue:1 Volume:25 Page:04019059
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Costa Veber¹^ORCID,Fernandes Wilson²^ORCID,Starick Ângelo³

Affiliation:

1. Professor, Dept. of Hydraulic and Water Resources Engineering, Federal Univ. of Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil. ORCID: .

2. Professor, Dept. of Hydraulic and Water Resources Engineering, Federal Univ. of Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, Brazil (corresponding author). ORCID: .

3. M.Sc. Student, Dept. of Hydraulic and Water Resources Engineering, Federal Univ. of Minas Gerais, Belo Horizonte, Minas Gerais 31270-901, 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.1943-5584.0001873

Reference36 articles.

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2. ANA (Agência Nacional de Águas). 2018. “Portal HidroWeb.” Accessed July 10 2018. http://www.snirh.gov.br/hidroweb/publico/apresentacao.jsf.

3. Archfield S. R. Vogel and S. Brandt. 2007. “Estimation of flow duration curves at ungauged sites in southern New England.” In Proc. World Environmental and Water Resources Congress 2007. Tampa Florida: ASCE.

4. Linear and evolutionary polynomial regression models to forecast coastal dynamics: Comparison and reliability assessment

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