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Optimal design of BP algorithm by ACOR model for groundwater-level forecasting: A case study on Shabestar plain, Iran

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An Erratum to this article was published on 26 August 2016

Abstract

Groundwater always has been considered as one of the major sources of drinking and agricultural water supply, especially in arid and semi-arid zones. Thus, there is a need to simulate (i.e., forecast) groundwater levels with an acceptable accuracy. In this paper, we present two applications of intelligent optimization algorithms for simulations of monthly groundwater levels in an unconfined coastal aquifer sited in the Shabestar plain, Iran. First, the backpropagation neural network (ANN-BP) with seven neurons in its hidden layer is utilized to reproduce groundwater-level variations using the external input variables including the following: rainfall, average discharge, temperature, evaporation, and annual time series. In the next application, ant colony optimization is used to optimize and find initial connection weights and biases of a BP algorithm during the training phase (ACOR-BP). The results were found to be acceptable in terms of accuracy and demonstrated that a hybrid ACOR-BP model is a much more rigorous fitting prediction tool for groundwater-level forecasting. This study has shown that such a hybrid network can be used as viable alternative to physical-based models for simulating the reactions of the aquifer under conceivable future scenarios. In addition, it may be useful for reconstructing long periods of missing historical observations of the influencing variables.

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Authors and Affiliations

  1. Department of Geology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran

    Ziba Hosseini

  2. Department of Geology, College of Science, University of Tehran, Tehran, Iran

    Sajjad Gharechelou

  3. Department of Geology, Faculty of Geoscience, Kharazmi University, Tehran, Iran

    Mohammad Nakhaei

  4. Department of Arid Land, Semnan University, Semnan, Iran

    Saeid Gharechelou

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  1. Ziba Hosseini
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  2. Sajjad Gharechelou
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  4. Saeid Gharechelou
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Correspondence to Ziba Hosseini.

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Hosseini, Z., Gharechelou, S., Nakhaei, M. et al. Optimal design of BP algorithm by ACOR model for groundwater-level forecasting: A case study on Shabestar plain, Iran. Arab J Geosci 9, 436 (2016). https://doi.org/10.1007/s12517-016-2454-2

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