A wavelet neural network approach to predict daily river discharge using meteorological data

This paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system. This work basically aims to present the daily discharge predictions from the actual discharge along with the meteorol...

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Main Authors: Ömer Gürsoy, Seref Naci Engin
Format: Article
Language:English
Published: SAGE Publishing 2019-06-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/0020294019827972
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author Ömer Gürsoy
Seref Naci Engin
author_facet Ömer Gürsoy
Seref Naci Engin
author_sort Ömer Gürsoy
collection DOAJ
description This paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system. This work basically aims to present the daily discharge predictions from the actual discharge along with the meteorological data using a wavelet neural network approach, which combines two methods: discrete wavelet transform and artificial neural networks. The wavelet–artificial neural network model developed provides a good fit with the measured data, in particular with zero discharge in the summer months and also with the peaks and sudden changes in discharge on the test data collected throughout the year. The results indicate that the wavelet–artificial neural network model based predictions are distinctly superior to that of conventional artificial neural network model that corresponds up to an 80% reduction in the mean-squared error between the artificial neural network model and measured data.
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spelling doaj.art-7f68520d293f4bfb8985dad159583db72022-12-22T01:30:20ZengSAGE PublishingMeasurement + Control0020-29402019-06-015210.1177/0020294019827972A wavelet neural network approach to predict daily river discharge using meteorological dataÖmer GürsoySeref Naci EnginThis paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system. This work basically aims to present the daily discharge predictions from the actual discharge along with the meteorological data using a wavelet neural network approach, which combines two methods: discrete wavelet transform and artificial neural networks. The wavelet–artificial neural network model developed provides a good fit with the measured data, in particular with zero discharge in the summer months and also with the peaks and sudden changes in discharge on the test data collected throughout the year. The results indicate that the wavelet–artificial neural network model based predictions are distinctly superior to that of conventional artificial neural network model that corresponds up to an 80% reduction in the mean-squared error between the artificial neural network model and measured data.https://doi.org/10.1177/0020294019827972
spellingShingle Ömer Gürsoy
Seref Naci Engin
A wavelet neural network approach to predict daily river discharge using meteorological data
Measurement + Control
title A wavelet neural network approach to predict daily river discharge using meteorological data
title_full A wavelet neural network approach to predict daily river discharge using meteorological data
title_fullStr A wavelet neural network approach to predict daily river discharge using meteorological data
title_full_unstemmed A wavelet neural network approach to predict daily river discharge using meteorological data
title_short A wavelet neural network approach to predict daily river discharge using meteorological data
title_sort wavelet neural network approach to predict daily river discharge using meteorological data
url https://doi.org/10.1177/0020294019827972
work_keys_str_mv AT omergursoy awaveletneuralnetworkapproachtopredictdailyriverdischargeusingmeteorologicaldata
AT serefnaciengin awaveletneuralnetworkapproachtopredictdailyriverdischargeusingmeteorologicaldata
AT omergursoy waveletneuralnetworkapproachtopredictdailyriverdischargeusingmeteorologicaldata
AT serefnaciengin waveletneuralnetworkapproachtopredictdailyriverdischargeusingmeteorologicaldata