Use of neural network as a support tool in water level forecasting and issuing flash floods early warnings to three small Brazilian urban watersheds

Author:

de Lima Glauston R. T.ORCID,de Oliveira Caran Rochane,de Aguiar Filho Luiz Ferreira

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference44 articles.

1. Abrahart RJ, Anctil F, Coulibaly P, Dawson CW, Mount NJ, See LM, Shamseldin AY, Solomatine DP, Toth E, Wilby RL (2012) Two decades of anarchy? Emerging themes and outstanding challenges for neural network modelling of surface hydrology. Prog Phys Geogr 36(4):480–513. https://doi.org/10.1177/0309133312444943

2. Abreu ES, Rosim S, Rennó CD, Oliveira JRF, Jardim AC, Ortiz JDO, Dutra LV (2012) TerraHidro: a distributed hydrological system to delimit large basins. In: Proceedings of the IGARSS, IEEE international. Munich, 546–549

3. Banco Mundial (2012) Avaliação de perdas e danos: inundações e deslizamentos na Região Serrana do Rio de Janeiro - Janeiro de 2011. Report (in Portuguese). Available at: https://documents1.worldbank.org/curated/en/260891468222895493/pdf/NonAsciiFileName0.pdf

4. Bottou L, Curtis FE, Nocedal J (2018) Optimization methods for large-scale machine learning. SIAM Rev 60(2):223–311. https://doi.org/10.1137/16M1080173

5. Bresch DN (2011) Flood Risk in Brazil (full study). Swiss Reinsurance Company Ltd. Available at: https://www.researchgate.net/publication/253327670_Flood_risk_Brazil_full_study

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