A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling

Abrahart RJ, See L (2000) Comparing neural network (NN) and Auto Regressive Moving Average (ARMA) techniques for the provision of continuous river flow forecasts in two contrasting catchments. Hydrol Process 14:2157–2172. doi: 10.1002/1099-1085(20000815/30)14:11/12<2157::AID-HYP57>3.0.CO;2-S

Addison PS, Murrary KB, Watson JN (2001) Wavelet transform analysis of open channel wake flows. J Eng Mech 127(1):58–70. doi: 10.1061/(ASCE)0733-9399(2001)127:1(58)

Altunkaynak A (2007) Forecasting surface water level fluctuations of Lake Van by artificial neural networks. Water Resour Manag 21:399–408. doi: 10.1007/s11269-006-9022-6

Anctil F, Tape GD (2004) An exploration of artificial neural network rainfall runoff forecasting combined with wavelet decomposition. J Environ Eng Sci 3:S121–S128. doi: 10.1139/s03-071

ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (2000) Artificial Neural Networks in hydrology 1: hydrology application. J Hydrol Eng 5(2):124–137

Aussem A, Campbell J, Murtagh F (1998) Wavelet-based feature extraction and decomposition strategies for financial forecasting. J Comput Intel Finance 6(2):5–12

Cannas B, Fanni A, See L, Sias G (2006) Data preprocessing for river flow forecasting using neural networks: wavelet transforms and data partitioning. Phys Chem Earth 31(18):1164–1171

El-Shafie A, Taha MR, Noureldin A (2007) A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam. Water Resour Manag 21:533–556

Foufoula-Georgiou E, Kumar P (eds) (1995) Wavelet in geophysics. Academic, New York

Grossmann A, Morlet J (1984) Decomposition of hardy function into square integrable wavelets of constant shape. SIMA J Math Anal 5:723–736

Hsu K, Gupta HV, Sorooshian S (1995) Artificial neural network modeling of rainfall–runoff process. Water Resour Res 31:2517–2530

Kim T, Valdes JB (2003) Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks. J Hydrol Eng 8(6):319–328

Labat D (2005) Recent advances in wavelet analyses: part 1—a review of concepts. J Hydrol 314:275–288

Labat D, Ababou R, Mangin A (2000) Rainfall–runoff relation for karstic spring. Part 2: continuous wavelet and discrete orthogonal multi resolution analyses. J Hydrol 238:149–178

Mallat SG (1998) A wavelet tour of signal processing. Academic, San Diego

Mehrotra R, Singh RD (1998) The influence of model structure on the efficiency of rainfall–runoff models: a comparative study for some catchments of central India. Water Resour Manag 12:325–341

Nason GP, Von Sachs R (1999) Wavelets in time series analysis. Phil Trans Roy Soc 357:2511–2526

Nourani V, Monadjemi P, Singh VP (2007) Liquid analog model for laboratory simulation of rainfall–runoff process. J Hydrol Eng 12(3):246–255

Nourani V, Alami MT, Aminfar MH (2008) A combined neural-wavelet model for prediction of watershed precipitation, Ligvanchai, Iran. J Environ Hydrol 16:1–12

Partal T, Cigizoglu HK (2008) Estimation and forecasting of daily suspended sediment data using wavelet-neural networks. J Hydrol 358(3–4):317–331

Salas JD, Delleur JW, Yevjevich V, Lane WL (1980) Applied modeling of hydrological time series. Water Resources Publications, Denver

Wang W, Ding S (2003) Wavelet network model and its application to the predication of hydrology. Nature and Science 1(1):67–71

Zhang BL, Dong ZY (2001) An adaptive neural wavelet model for short term load forecasting. Electr Power Syst Res 59:121–129

Zhou H-C, Peng Y, Liang G-H (2008) The research of monthly discharge predictor–corrector model based on wavelet decomposition. Water Resour Manag 22:217–227