Name: Fluviometric Index Prediction Using a Neuro-Fuzzy Approach (en Inglés)
Price: 70620.00 CLP
Availability: InStock
Author: Hannemann, Daniel ; M. Da Silveira, Antonio ; F. Oliveira, Terezinha
ISBN: 9786206902225

portada Fluviometric Index Prediction Using a Neuro-Fuzzy Approach (en Inglés)

Formato

Libro Físico

Autor

Daniel Hannemann

Antonio M. Da Silveira

Terezinha F. Oliveira

Editorial

Our Knowledge Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.3 cm

Peso

0.09 kg.

ISBN13

9786206902225

Categorías

Tecnología de la información: cuestiones generales

Fluviometric Index Prediction Using a Neuro-Fuzzy Approach (en Inglés)

Daniel Hannemann (Autor) · Antonio M. Da Silveira (Autor) · Terezinha F. Oliveira (Autor) · Our Knowledge Publishing · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Fluviometric Index Prediction Using a Neuro-Fuzzy Approach (en Inglés)"

This work presents a proposal for monitoring and forecasting the level of the Amazon River in the city of Santarém, using an ANFIS approach and historical data on the annual fluviometric cycle. The data was collected in the cities of Santarém, Manaus and Itaituba, and was filtered to the period from 01/03/03 to 28/02/17. The data was analysed in order to establish threshold values for alerts of emerging situations for monitoring the river level, comprising the times of the water volumes: drought, drought-normal, normal, normal-full and flood. The historical series can be considered reliable, as it is possible to clearly identify the annual hydrological cycles of the rivers. Predictive solutions using statistical and computational techniques are capable of automating such forecasts with relatively low rates of river level error. With this in mind, it is considered that the proposed solution can be used to guide actions that minimise the disruption caused to the city of Santarém in extreme situations of the Amazon River's water volumes. The proposed approach has also been shown to be applicable in other environments with hydrological cycles and, therefore, possible global applicability.