A Sustainable Early Warning System Using Rolling Forecasts Based on ANN and Golden Ratio Optimization Methods to Accurately Predict Real-Time Water Levels and Flash Flood

A Sustainable Early Warning System Using Rolling Forecasts Based on ANN and Golden Ratio Optimization Methods to Accurately Predict Real-Time Water Levels and Flash Flood

Remote monitoring sensor systems play a significant role in the evaluation and minimization of natural disasters and risk. This article presents a sustainable and real-time early warning system of sensors employed in flash flood prediction by using a rolling forecast model based on Artificial Neural...

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Bibliographic Details
Main Authors: Feras Alasali, Rula Tawalbeh, Zahra Ghanem, Fatima Mohammad, Mohammad Alghazzawi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
sustainable monitoring system
real-time early warning
remote sensing
ANN
rolling forecast
flash floods
Online Access:https://www.mdpi.com/1424-8220/21/13/4598

Internet

https://www.mdpi.com/1424-8220/21/13/4598

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