Adamowski JF (2008) River flow forecasting using wavelet and cross-wavelet transform models. Hydrolo Process 22:4877–4891
Adamowski JF, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91
Addison PS, Murray KB, Watson JN (2001) Wavelet transform analysis of open channel wake flows. J Eng Mech 127(1):58–70
ASCE (Task Committee on Application of Artificial Neural Networks in Hydrology (2000b) Artificial neural networks in hydrology II: hydrologic applications. J Hydraulic Eng ASCE 5:123–137
ASCE (Task Committee on Application of Artificial Neural Networks in Hydrology) (2000a) Artificial neural networks in hydrology I: preliminary concepts. J Hydraul Eng ASCE 5:115–123
Chau KW, Wu CL, Li YS (2005) Comparison of several flood forecasting models in Yangtze River. J Hydrol Eng 10:485–491
Coulibaly P, Burn HD (2004) Wavelet analysis of variability in annual Canadian streamflows. Water Resour Res 40, W03105. doi:10.1029/2003WR002667
Deb K (2001) Multi-Objective optimization using evolutionary algorithms. John Wiley and Sons Asia
FMIS (2012) Flood management information system. Water Resources Department, Patna
Goldberg DE (1989) Genetic algorithms in: Search, optimization and machine learning. Addison-Wesley, New York
International Federation of Red Cross and Red Crescent Societies (2006) Geneva, Switzerland: World Disaster Report, p 12
Kisi O (2008) Stream flow forecasting using neuro-wavelet technique. Hydrol Processes 22:4142–4152
Kisi O (2009) Neural networks and wavelet conjunction model for intermittent streamflow forecasting. J Hydrol Eng 14:773–782
Kisi O (2010) Wavelet regression model for short-term streamflow forecasting. J Hydrol 389:344–353
Kisi O (2011a) A combined generalized regression neural network wavelet model for monthly streamflow prediction. KSCE J Civil Eng 15(8):1469–1479
Kisi O (2011b) Wavelet regression model as an alternative to neural networks for river stage forecasting. Water Resour Manag 25:579–600
Kisi O, Shiri J (2011) Precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models. Water Resour Manag 25:3135–3152
Kisi O, Shiri J (2012) Discussion on precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models. Water Resour Manag. doi:10.1007/s 11269-012-0060-y
Kucuk M, Agiralioglu N (2006) Wavelet regression techniques for stream flow predictions. J Appl Stat 33:943–960
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
Maier HR, Dandy GC (2000) Neural networks for the predication and forecasting of water resources variables: a review of modelling issues and applications. Environ Model Softw 15:101–124
Mallat SG (1989) A theory for multi resolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intel 11:674–693
Michalewicz Z (1992) Genetic algorithm + data structures = evolutionary programs. Springer, New York
Moosavi V, Vafakhah M, Shirmohammadi B, Behnia N (2013) A wavelet-ANFIS hybrid model for groundwater level forecasting for different prediction periods. Water Resour Manag 27:1301–1321
Partal T, Kucuk M (2006) Long-term trend analysis using discrete wavelet components of annual precipitations measurements in Marmara region (Turkey). Phys Chem Earth 31:1189–1200
Rajaee T (2011) Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers. Sci Total Env 409:2917–2928
Rajaee T, Nourani V, Kermani MZ, Kisi O (2010) River suspended sediment load prediction: application of ANN and wavelet conjunction model. J Hydrol Eng 16(8):613–627
Ramana RV, Krishna B, Kumar SR SR, Pandey NG (2013) Monthly rainfall prediction using wavelet neural network analysis. Water Resour Manage 27:3697–3711
Sahay RR, Chakraborty A (2012) Predicting river floods using discrete wavelet. J Soil Water Sci IV 1:29–41
Sahay RR, Sehgal V (2013) Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India. J Flood Risk Manag 6:146–155
Shiri J, Kisi O (2010) Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model. J Hydrol 394:486–493
Smith LC, Turcotte DL, Isacks B (1998) Stream flow characterization and feature detection using a discrete wavelet transform. Hydrol Process 12:233–249
Taormina R, Chau KW, Sethi R (2012) Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon. Eng Appl Artif Intel 25:1670–1676
Tiwari MK, Chatterjee C (2010) Development of an accurate and reliable hourly flood forecasting model using wavelet-bootstrap-ANN (WBANN) hybrid approach. J of Hydrol 394:458–470
Wang W, Ding J (2003) Wavelet network model and its application to the prediction of the hydrology. Nat Sci 1:67–71
Wang W, Jin J, Li Y (2009) Prediction of inflow at Three Gorges Damin Yangtze river with wavelet network model. Water Resour Manag 23:2791–2803
Wu CL, Chau KW (2006) Evaluation of several algorithms in forecasting flood. Adv Appl Artif Intell 4031:111–116
Wu CL, Chau KW, Li YS (2009) Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques. Water Resour Res 45, W08432. doi:10.1029/2007WR006737
Zhou HC, Peng Y, Liang GH (2008) The research of monthly discharge predictor-corrector model based on wavelet decomposition. Water Resour Manag 22:217–227