Prediction of groundwater level in Safwan-Zubair area using artificial neural networks
Joint Authors
Kifah, Khudayr M.
al-Idani, Ali S.
al-Abbudi, Ali Hasan Duhaym
Source
Basrah Journal for Engineering Sciences
Issue
Vol. 16, Issue 1 (30 Jun. 2016), pp.42-50, 9 p.
Publisher
University of Basrah College of Engineering
Publication Date
2016-06-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Earth Sciences, Water and Environment
Materials Science , Minerals
Abstract EN
Safwan-Zubair area is regarded as one of the important agricultural areas in Basrah province, South of Iraq.
The aim of this study is to predict groundwater level in this area using ANNs model.
The data required for building the ANNs model are generated using MODFLOW model (V.5.3).
MODFLOW model was calibrated based on field measurements of groundwater level in13 monitoring wells during a period of one year (Nov./2013 to Oct/2014).
The neural network toolbox available in MATLAB version 7.1 (2010B) was used to develop the ANN models.
Three layers feed-forward network with Log-sigmoid transfer function was used.
The networks were trained using Levenberg-Marquradt back-propagation algorithm.
The ANN modes are divided into two groups, each of four models.
The input data of the first group include hydraulic heads, while, the input data of the second group include hydraulic heads and recharge rates.
Based on results of this study it was found that; the best ANN model for predicting groundwater levels in the study area is obtained when the input data includes hydraulic heads and recharge rates of two successive months preceding the target month, the best structure of ANN model is of three layers feed-forward network type composes of two hidden layers, each of ten nodes, and the including of recharge rates as input data, beside the hydraulic heads has improved slightly the results.
American Psychological Association (APA)
al-Abbudi, Ali Hasan Duhaym& Kifah, Khudayr M.& al-Idani, Ali S.. 2016. Prediction of groundwater level in Safwan-Zubair area using artificial neural networks. Basrah Journal for Engineering Sciences،Vol. 16, no. 1, pp.42-50.
https://search.emarefa.net/detail/BIM-724375
Modern Language Association (MLA)
al-Abbudi, Ali Hasan Duhaym…[et al.]. Prediction of groundwater level in Safwan-Zubair area using artificial neural networks. Basrah Journal for Engineering Sciences Vol. 16, no. 1 (2016), pp.42-50.
https://search.emarefa.net/detail/BIM-724375
American Medical Association (AMA)
al-Abbudi, Ali Hasan Duhaym& Kifah, Khudayr M.& al-Idani, Ali S.. Prediction of groundwater level in Safwan-Zubair area using artificial neural networks. Basrah Journal for Engineering Sciences. 2016. Vol. 16, no. 1, pp.42-50.
https://search.emarefa.net/detail/BIM-724375
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 49-50
Record ID
BIM-724375