Artificial Neural Network and Multiple Linear Regression for Flood Prediction in Mohawk River, New York

Artificial Neural Network and Multiple Linear Regression for Flood Prediction in Mohawk River, New York

This research introduces a hybrid model for forecasting river flood events with an example of the Mohawk River in New York. Time series analysis and artificial neural networks are combined for the explanation and forecasting of the daily water discharge using hydrogeological and climatic variables....

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Bibliographic Details
Main Authors: Katerina Tsakiri, Antonios Marsellos, Stelios Kapetanakis
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Water
Subjects:
artificial neural network
time series decomposition
flood prediction
Kolmogorov–Zurbenko filter
Mohawk River
Online Access:http://www.mdpi.com/2073-4441/10/9/1158

Internet

http://www.mdpi.com/2073-4441/10/9/1158

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