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2020 | OriginalPaper | Buchkapitel

Artificial Neural Network Approach to Flood Forecasting in the Vu Gia–Thu Bon Catchment, Vietnam

verfasst von : Duy Vu Luu, Thi Ngoc Canh Doan, Ngoc Duong Vo

Erschienen in: Advances in Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

Flooding in the Vu Gia-Thu Bon catchment has destroyed critical facilities, such as infrastructure and housing. This study develops an application of an Artificial Neural Network (ANN) to forecast the flow at the Nong Son gauging station in the catchment. The ANN model uses rainfall data at upstream locations to estimate flows at downstream point. Architectures of the ANN model are adjusted to calculate flooding. Daily rainfall at Tra My, Tien Phuoc, Hiep Duc and Nong Son between 1991 and 2010 is used to predict flooding at Nong Son. The analysis shows that the ANN is a reliable method to forecast the flood in the Vu Gia-Thu Bon catchment, where there is a lack of a wide range of accurate data, particularly hydrological, meteorological and geological data.

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Metadaten
Titel
Artificial Neural Network Approach to Flood Forecasting in the Vu Gia–Thu Bon Catchment, Vietnam
verfasst von
Duy Vu Luu
Thi Ngoc Canh Doan
Ngoc Duong Vo
Copyright-Jahr
2020
Buch
Advances in Computational Collective Intelligence

Print ISBN: 978-3-030-63118-5

Electronic ISBN: 978-3-030-63119-2

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-63119-2_50