Modeling a densely urbanized watershed with an artificial neural network, weather radar and telemetric data-Reference-Cited by-同舟云学术

Modeling a densely urbanized watershed with an artificial neural network, weather radar and telemetric data

Published:2006-02 Issue:1-2 Volume:317 Page:31-48
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Pereira Filho Augusto José,dos Santos Cláudia Cristina

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference37 articles.

1. Drought estimation with neural networks;Crespo;Advances in Engineering Software,1993

2. Effective and efficient global optimization for conceptual rainfall-runoff models;Duan;Water Resources Research,1992

3. Use of series models in forecasting the series of monthly rainfall in the city of Lavras, state of Minas Gerais, Brazil;Ferraz;Revista Brasileira de Agrometeorologia,1999

4. Fiering, M.B., Jackson, B.B., 1971. Synthetic streamflows. 2nd ed, American Geophysical Union, Washington (Water Resources Monograph Series).

5. Comparative analysis of several conceptual rainfall-runoff models;Franchini;Journal of Hydrology,1991

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