Prediction of Groundwater Level Using MODFLOW, Extreme Learning Machine and Wavelet-Extreme Learning Machine Models

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MALEKZADEH M.; KARDAR S.; SAEB K.; SHABANLOU S.; TAGHAVI L.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2019 | Volume:14 | Issue:5 Page(s): 380-385

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Title

Prediction of Groundwater Level Using MODFLOW, Extreme Learning Machine and Wavelet-Extreme Learning Machine Models

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Keywords

Groundwater levelQ2

MODFLOWQ1

Extreme Learning MachineQ1

WaveletQ1

Wavelet-Extreme Learning MachineQ1

Abstract

In this study, the Groundwater level of the Kabodarahang aquifer located in Hamadan Province, Iran, is simulated using MODFLOW, Extreme Learning Machine (ELM), and Wavelet-Extreme Learning Machine (WA-ELM) Models. The correlation coefficient and scatter index values for the MODFLOW model are calculated 0. 917 and 0. 0004, respectively. Then, by different input combination and using the stepwise selection, 10 different models are introduced for the ELM and WA-ELM models with different lags. By evaluating all activation functions of the ELM model, the sigmoid activation function predicts Groundwater level values with more accuracy. Also, Daubechies2 is selected as the mother Wavelet of the WA-ELM models. According to different numerical models results, the WA-ELM model is selected as the superior model in prediction of Groundwater level. For the superior model, the correlation coefficient and Nash-Sutcliffe efficiency coefficient are calculated 0. 959 and 0. 915, respectively. These values for ELM model was respectively computed as 0. 828 and 0. 672.

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APA: Copy

MALEKZADEH, M., KARDAR, S., SAEB, K., SHABANLOU, S., & TAGHAVI, L.. (2019). Prediction of Groundwater Level Using MODFLOW, Extreme Learning Machine and Wavelet-Extreme Learning Machine Models. IRAN-WATER RESOURCES RESEARCH, 14(5 ), 380-385. SID. https://sid.ir/paper/100210/en

Vancouver: Copy

MALEKZADEH M., KARDAR S., SAEB K., SHABANLOU S., TAGHAVI L.. Prediction of Groundwater Level Using MODFLOW, Extreme Learning Machine and Wavelet-Extreme Learning Machine Models. IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;14(5 ):380-385. Available from: https://sid.ir/paper/100210/en

IEEE: Copy

M. MALEKZADEH, S. KARDAR, K. SAEB, S. SHABANLOU, and L. TAGHAVI, “Prediction of Groundwater Level Using MODFLOW, Extreme Learning Machine and Wavelet-Extreme Learning Machine Models,” IRAN-WATER RESOURCES RESEARCH, vol. 14, no. 5 , pp. 380–385, 2019, [Online]. Available: https://sid.ir/paper/100210/en

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