Forecasting models for some water quality parameters of Shatt Al-Hilla River, Iraq
Joint Authors
al-Suhaili, Rafi Hashim Shakir
al-Mansuri, Nisrin Jasim Husayn
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 25, Issue 4 (31 Aug. 2017), pp.1384-1391, 8 p.
Publisher
Publication Date
2017-08-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
This paper provides Artificial Neural Networks model versions for forecasting the monthly averages of some chemical water quality parameters of Shatt Al-Hilla River, which is located at Hilla City, south of Iraq.
The water quality parameters investigated were Sulphate, Magnesium, Calcium, Alkalinity, and Total Hardness.
Results indicate that for Sulphate and Calcium high correlation coefficients models were observed to be (0.9 and 0.88), while for Magnesium, Alkalinity and Hardness low correlation coefficients model were observed to be (0.48,0.58, and 0.51) respectively.
Serial correlation behavior of these variables indicate at that high lag time correlations sequences are observed for the first two variables and low ones for the last three water quality parameters.
A serial correlation coefficient analysis was done and indicates that as the variable exhibited weak lag correlation structure, then a successful ANN forecasting model could not be obtained even if many trials were done to enhance it's performance, such as increasing the number of nodes, the lagged input variables, and/or changing the learning rate and the momentum term values, or the use of different types of activation functions.
On the other hand, those variables that have a strong lag correlation structure can easily fit successful ANN forecasting models
American Psychological Association (APA)
al-Suhaili, Rafi Hashim Shakir& al-Mansuri, Nisrin Jasim Husayn. 2017. Forecasting models for some water quality parameters of Shatt Al-Hilla River, Iraq. Journal of University of Babylon for Engineering Sciences،Vol. 25, no. 4, pp.1384-1391.
https://search.emarefa.net/detail/BIM-923491
Modern Language Association (MLA)
al-Suhaili, Rafi Hashim Shakir& al-Mansuri, Nisrin Jasim Husayn. Forecasting models for some water quality parameters of Shatt Al-Hilla River, Iraq. Journal of University of Babylon for Engineering Sciences Vol. 25, no. 4 (2017), pp.1384-1391.
https://search.emarefa.net/detail/BIM-923491
American Medical Association (AMA)
al-Suhaili, Rafi Hashim Shakir& al-Mansuri, Nisrin Jasim Husayn. Forecasting models for some water quality parameters of Shatt Al-Hilla River, Iraq. Journal of University of Babylon for Engineering Sciences. 2017. Vol. 25, no. 4, pp.1384-1391.
https://search.emarefa.net/detail/BIM-923491
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 1389-1391
Record ID
BIM-923491