WATER TABLE FORECASTING USING ARTIFICIAL NEURAL NETWORKS

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IZADI A.A.; DAVARI KAMRAN; ALIZADEH AMIN; GHAHRAMAN B.; HAGHAYEGHI MOGHADAM S.A.A.GH.

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Journal: Iranian Journal of Irrigation and Drainage Year:2007 | Volume:1 | Issue:2 Page(s): 59-71

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Title

WATER TABLE FORECASTING USING ARTIFICIAL NEURAL NETWORKS

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Keywords

GROUND WATERQ1

PREDICTINGQ2

ANNSQ3

NEYSHABOUR PLAINQ2

Abstract

The significance of GROUND WATER as an important source of water supply is no doubt to anyone in arid and semiarid areas. Therefore prediction of GROUND WATER level fluctuations seems as important parameters for planning conjunctive use in these areas. NEYSHABOUR PLAIN is selected for this research because of presence of 45 pizometerics that most of them have more than 12 years data. Therefore, at first preprocessing job is done on the row data using GIS for editing and generating requirement of data in month scale in 15 selective pisometeric wells and in its thiessen polygon. Then, the performance of different artificial neural networks (ANNs) such as multi layer perceptron (MLP), Generalized Feed Forward (GFF) and Recurrent Neural Network (RNN) in a groundwater level PREDICTING is examined in order to identify an optimal ANN architecture that can simulate the variation of the groundwater level and provide acceptable predictions in during of months ahead. The different experiment results show that GFF neural network trained with the momentum algorithm has the best results for up to 6 months forecasts. The selected performance criteria indicators such as R2=.937 and NRMSE=.378 reveals the relevance of this method

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APA: Copy

IZADI, A.A., DAVARI, KAMRAN, ALIZADEH, AMIN, GHAHRAMAN, B., & HAGHAYEGHI MOGHADAM, S.A.A.GH.. (2007). WATER TABLE FORECASTING USING ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 1(2), 59-71. SID. https://sid.ir/paper/131658/en

Vancouver: Copy

IZADI A.A., DAVARI KAMRAN, ALIZADEH AMIN, GHAHRAMAN B., HAGHAYEGHI MOGHADAM S.A.A.GH.. WATER TABLE FORECASTING USING ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2007;1(2):59-71. Available from: https://sid.ir/paper/131658/en

IEEE: Copy

A.A. IZADI, KAMRAN DAVARI, AMIN ALIZADEH, B. GHAHRAMAN, and S.A.A.GH. HAGHAYEGHI MOGHADAM, “WATER TABLE FORECASTING USING ARTIFICIAL NEURAL NETWORKS,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 1, no. 2, pp. 59–71, 2007, [Online]. Available: https://sid.ir/paper/131658/en

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