A Wavelet-ANFIS Hybrid Model for Groundwater Level Forecasting for Different Prediction Periods

Vahid Moosavi, Mehdi Vafakhah, Bagher Shirmohammadi, Negin Behnia

Research output: Chapter in Book / Report / Conference proceedingChapterAcademic


Artificial neural network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) have an extensive range of applications in water resources management. Wavelet transformation as a preprocessing approach can improve the ability of a forecasting model by capturing useful information on various resolution levels. The objective of this research is to compare several data-driven models for forecasting groundwater level for different prediction periods. In this study, a number of model structures for Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Wavelet-ANN and Wavelet- ANFIS models have been compared to evaluate their performances to forecast groundwater level with 1, 2, 3 and 4 months ahead under two case studies in two sub-basins. It was demonstrated that wavelet transform can improve accuracy of groundwater level forecasting. It has been also shown that the forecasts made byWavelet-ANFIS models are more accurate than those by ANN, ANFIS and Wavelet-ANN models. This study confirms that the optimum number of neurons in the hidden layer cannot be always determined by using a specific formula but trial-and-error method. The decomposition level in wavelet transform should be determined according to the periodicity and seasonality of data series. The prediction of these models is more accurate for 1 and 2 months ahead (for example RMSE=0.12, E=0.93 and R2=0.99 for wavelet-ANFIS model for 1 month ahead) than for 3 and 4 months ahead (for example RMSE=2.07, E=0.63 and R2=0.91 for wavelet- ANFIS model for 4 months ahead).
Original languageEnglish
Title of host publicationWater Resources Management
Number of pages21
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameWater Resources Management


  • Forecasting
  • Groundwater level
  • Mashhad plain
  • Wavelet-ANFIS
  • Wavelet-ANN


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