Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques

Reservoir inflow prediction is a vital subject in the field of hydrology because it determines the flood event. The negative impact of the floods could be minimized greatly if the flood frequency is predicted accurately in advance. In the present study, a novel hybrid model, bootstrap quadratic resp...

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Autores principales:	Muhammad Ahmed Shehzad, Adnan Bashir, Muhammad Noor Ul Amin, Saima Khan Khosa, Muhammad Aslam, Zubair Ahmad
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/b0ff27c9886b4a3ca99ce42589e888fb
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spelling	oai:doaj.org-article:b0ff27c9886b4a3ca99ce42589e888fb2021-11-29T00:56:16ZReservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques1563-514710.1155/2021/4086918https://doaj.org/article/b0ff27c9886b4a3ca99ce42589e888fb2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4086918https://doaj.org/toc/1563-5147Reservoir inflow prediction is a vital subject in the field of hydrology because it determines the flood event. The negative impact of the floods could be minimized greatly if the flood frequency is predicted accurately in advance. In the present study, a novel hybrid model, bootstrap quadratic response surface is developed to test daily streamflow prediction. The developed bootstrap quadratic response surface model is compared with multiple linear regression model, first-order response surface model, quadratic response surface model, wavelet first-order response surface model, wavelet quadratic response surface model, and bootstrap first-order response surface model. Time series data of monsoon season (1 July to 30 September) for the year 2010 of the Chenab river basin are analyzed. The studied models are tested by using performance indices: Nash–Sutcliffe coefficient of efficiency, mean absolute error, persistence index, and root mean square error. Results reveal that the proposed model, i.e., bootstrap quadratic response surface shows good performance and produces optimum results for daily reservoir inflow prediction than other models used in the study.Muhammad Ahmed ShehzadAdnan BashirMuhammad Noor Ul AminSaima Khan KhosaMuhammad AslamZubair AhmadHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Muhammad Ahmed Shehzad Adnan Bashir Muhammad Noor Ul Amin Saima Khan Khosa Muhammad Aslam Zubair Ahmad Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques
description	Reservoir inflow prediction is a vital subject in the field of hydrology because it determines the flood event. The negative impact of the floods could be minimized greatly if the flood frequency is predicted accurately in advance. In the present study, a novel hybrid model, bootstrap quadratic response surface is developed to test daily streamflow prediction. The developed bootstrap quadratic response surface model is compared with multiple linear regression model, first-order response surface model, quadratic response surface model, wavelet first-order response surface model, wavelet quadratic response surface model, and bootstrap first-order response surface model. Time series data of monsoon season (1 July to 30 September) for the year 2010 of the Chenab river basin are analyzed. The studied models are tested by using performance indices: Nash–Sutcliffe coefficient of efficiency, mean absolute error, persistence index, and root mean square error. Results reveal that the proposed model, i.e., bootstrap quadratic response surface shows good performance and produces optimum results for daily reservoir inflow prediction than other models used in the study.
format	article
author	Muhammad Ahmed Shehzad Adnan Bashir Muhammad Noor Ul Amin Saima Khan Khosa Muhammad Aslam Zubair Ahmad
author_facet	Muhammad Ahmed Shehzad Adnan Bashir Muhammad Noor Ul Amin Saima Khan Khosa Muhammad Aslam Zubair Ahmad
author_sort	Muhammad Ahmed Shehzad
title	Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques
title_short	Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques
title_full	Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques
title_fullStr	Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques
title_full_unstemmed	Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques
title_sort	reservoir inflow prediction by employing response surface-based models conjunction with wavelet and bootstrap techniques
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/b0ff27c9886b4a3ca99ce42589e888fb
work_keys_str_mv	AT muhammadahmedshehzad reservoirinflowpredictionbyemployingresponsesurfacebasedmodelsconjunctionwithwaveletandbootstraptechniques AT adnanbashir reservoirinflowpredictionbyemployingresponsesurfacebasedmodelsconjunctionwithwaveletandbootstraptechniques AT muhammadnoorulamin reservoirinflowpredictionbyemployingresponsesurfacebasedmodelsconjunctionwithwaveletandbootstraptechniques AT saimakhankhosa reservoirinflowpredictionbyemployingresponsesurfacebasedmodelsconjunctionwithwaveletandbootstraptechniques AT muhammadaslam reservoirinflowpredictionbyemployingresponsesurfacebasedmodelsconjunctionwithwaveletandbootstraptechniques AT zubairahmad reservoirinflowpredictionbyemployingresponsesurfacebasedmodelsconjunctionwithwaveletandbootstraptechniques
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Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques

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