Monthly streamflow forecasting using neuro-wavelet techniques and input analysis

ABSTRACT Combinations of low-frequency components (also known as approximations) resulting from the wavelet decomposition are tested as inputs to an artificial neural network (ANN) in a hybrid approach, and compared to classical ANN models for flow forecasting for 1, 3, 6 and 12 months ahead. In addition, the inputs are rewritten in terms of the flow, revealing what type of information was being provided to the network, in order to understand the effect of the approximations on the forecasting performance. The results show that the hybrid approach improved the accuracy of all tested models, especially for 1, 3 and 6 months ahead. The input analyses show that high-frequency components are more important for shorter forecast horizons, while for longer horizons, they may worsen the model accuracy.

[1]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[2]  Jan Adamowski,et al.  Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. , 2010 .

[3]  H. K. Cigizoglu,et al.  Incorporation of ARMA models into flow forecasting by artificial neural networks , 2003 .

[4]  Shreenivas Londhe,et al.  Comparison of data-driven modelling techniques for river flow forecasting , 2010 .

[5]  Guilherme Garcia de Oliveira,et al.  O Desempenho das Redes Neurais Artificiais (RNAs) para Simulação Hidrológica Mensal , 2014 .

[6]  null null,et al.  Artificial Neural Networks in Hydrology. II: Hydrologic Applications , 2000 .

[7]  Narendra Singh Raghuwanshi,et al.  Estimating Evapotranspiration using Artificial Neural Network , 2002 .

[8]  Celso Augusto Guimarães Santos,et al.  A Transformada Wavelet e sua Aplicação na Análise de Séries Hidrológicas , 2013 .

[9]  Zaher Mundher Yaseen,et al.  Artificial intelligence based models for stream-flow forecasting: 2000-2015 , 2015 .

[10]  K. P. Sudheer,et al.  A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models , 2002 .

[11]  Sajjad Ahmad,et al.  Suspended sediment load prediction of river systems: An artificial neural network approach , 2011 .

[12]  Wensheng Wang,et al.  Wavelet Network Model and Its Application to the Prediction of Hydrology , 2003 .

[13]  P. C. Nayak,et al.  Groundwater Level Forecasting in a Shallow Aquifer Using Artificial Neural Network Approach , 2006 .

[14]  K. P. Sudheer,et al.  Rainfall‐runoff modelling using artificial neural networks: comparison of network types , 2005 .

[15]  Mukesh K. Tiwari,et al.  Intermittent Streamflow Forecasting and Extreme Event Modelling using Wavelet based Artificial Neural Networks , 2014, Water Resources Management.

[16]  Paulin Coulibaly,et al.  Groundwater level forecasting using artificial neural networks , 2005 .

[17]  R. Abrahart,et al.  Flood estimation at ungauged sites using artificial neural networks , 2006 .

[18]  Adarsh Singh,et al.  Daily river flow forecasting using wavelet ANN hybrid models , 2010 .

[19]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Michael Y. Hu,et al.  Effect of data standardization on neural network training , 1996 .

[21]  Gustavo Barbosa Lima da Silva,et al.  Daily streamflow forecasting using a wavelet transform and artificial neural network hybrid models , 2014 .

[22]  Souad Riad,et al.  Rainfall-runoff model usingan artificial neural network approach , 2004, Math. Comput. Model..

[23]  Nelson Obregón-Neira,et al.  Forecasting of Monthly Streamflows Based on Artificial Neural Networks , 2009 .

[24]  Karim C. Abbaspour,et al.  A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows , 2013 .

[25]  Ozgur Kisi,et al.  River Flow Modeling Using Artificial Neural Networks , 2004 .

[26]  Luana Ferreira Costa Gomes,et al.  Modelo Baseado na Tcnica de Redes Neurais para Previso de Vazes na Bacia do Rio So Francisco , 2010 .

[27]  Hikmet Kerem Cigizoglu,et al.  Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data , 2007, Environ. Model. Softw..

[28]  H. Nagy,et al.  Prediction of Sediment Load Concentration in Rivers using Artificial Neural Network Model , 2002 .

[29]  Demetris Koutsoyiannis,et al.  Medium-range flow prediction for the Nile: a comparison of stochastic and deterministic methods / Prévision du débit du Nil à moyen terme: une comparaison de méthodes stochastiques et déterministes , 2008 .

[30]  G. Tayfur.  Artificial neural networks for sheet sediment transport , 2002 .

[31]  Juan Martín Bravo,et al.  Previsões de Curto Prazo de Vazão Afluente ao Reservatório de Furnas Utilizando Redes Neurais Artificiais , 2008 .

[32]  Linda See,et al.  Data preprocessing for river flow forecasting using neural networks: Wavelet transforms and data partitioning , 2006 .

[33]  Getnet Y. Muluye.  Improving long-range hydrological forecasts with extended Kalman filters , 2011 .

[34]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1989, Math. Control. Signals Syst..

[35]  A. Malik,et al.  Artificial neural network modeling of the river water quality—A case study , 2009 .

[36]  S. S. Zanetti,et al.  Estimating Evapotranspiration Using Artificial Neural Network and Minimum Climatological Data , 2007 .

[37]  Young-Oh Kim,et al.  Rainfall‐runoff models using artificial neural networks for ensemble streamflow prediction , 2005 .

[38]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[39]  Ali Danandeh Mehr,et al.  Successive-station monthly streamflow prediction using neuro-wavelet technique , 2014, Earth Science Informatics.

[40]  Hikmet Kerem Cigizoglu,et al.  Generalized regression neural network in modelling river sediment yield , 2006, Adv. Eng. Softw..

[41]  Eloy Kaviski,et al.  Monthly rainfall–runoff modelling using artificial neural networks , 2011 .

[42]  O. Kisi.  Neural Networks and Wavelet Conjunction Model for Intermittent Streamflow Forecasting , 2009 .

[43]  Branimir Todorovic,et al.  Forecasting of Reference Evapotranspiration by Artificial Neural Networks , 2003 .

[44]  B. Bobée,et al.  Artificial neural network modeling of water table depth fluctuations , 2001 .

[45]  Mohammad H. Aminfar,et al.  A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation , 2009, Eng. Appl. Artif. Intell..

[46]  Mehdi Vafakhah,et al.  A Wavelet-ANFIS Hybrid Model for Groundwater Level Forecasting for Different Prediction Periods , 2013, Water Resources Management.

[47]  R Govindaraju,et al.  ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS , 2000 .

[48]  Shyam S. Sablani,et al.  Artificial Neural Network Modeling , 2006 .

[49]  Ozgur Kisi,et al.  Stream flow forecasting using neuro‐wavelet technique , 2008 .

[50]  Hikmet Kerem Cigizoglu,et al.  Generalized regression neural network in monthly flow forecasting , 2005 .

[51]  Antonio Holdefer,et al.  Análise por ondaletas sobre níveis de rios submetidos à influência de maré , 2015 .

[52]  Mohammad Firuz Ramli,et al.  Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors. , 2012, Marine pollution bulletin.

[53]  K. P. Sudheer,et al.  Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India , 2010 .

[54]  H. K. Cigizoglu,et al.  Prediction of daily precipitation using wavelet—neural networks , 2009 .

[55]  H. K. Cigizoglu,et al.  ESTIMATION AND FORECASTING OF DAILY SUSPENDED SEDIMENT DATA BY MULTI-LAYER PERCEPTRONS , 2004 .

[56]  Ozgur Kisi,et al.  Comparison of different ANN techniques in river flow prediction , 2007 .

[57]  N. Null.  Artificial Neural Networks in Hydrology. I: Preliminary Concepts , 2000 .

[58]  U. C. Kothyari,et al.  Artificial neural networks for daily rainfall—runoff modelling , 2002 .

[59]  Howard B. Demuth,et al.  Neutral network toolbox for use with Matlab , 1995 .

[60]  Seyed Ahmad Akrami,et al.  Hybrid Wavelet Neural Network Approach for Daily Inflow Forecasting Using Tropical Rainfall Measuring Mission Data , 2019, Journal of Hydrologic Engineering.

[61]  Turgay PartalT. Partal.  River flow forecasting using different artificial neural network algorithms and wavelet transform , 2009 .

[62]  Sílvio Luís Rafaeli Neto,et al.  Eficácia da arquitetura MLP em modo closed-loop para simulação de um Sistema Hidrológico , 2016 .

[63]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[64]  Bruno Rabelo Versiani,et al.  Previsão de Vazões com a Metodologia DPFT e com Redes Neurais Artificiais , 2010 .

[65]  Olivia Freeman,et al.  Talking points personal outcomes approach: practical guide. , 2012 .