Artificial Neural Networks Modeling of Total Dissolved Solid in the Selected Locations on Tigris River, Iraq
The study aims to predict Total Dissolved Solids (TDS) as a water quality indicator parameter at spatial and temporal distribution of the Tigris River, Iraq by using Artificial Neural Network (ANN) model. This study was conducted on this river between Mosul and Amarah in Iraq on five positions stret...
Main Author: | Ayad Sleibi Mustafa |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Baghdad
2015-06-01
|
Series: | Journal of Engineering |
Subjects: | |
Online Access: | http://joe.uobaghdad.edu.iq/index.php/main/article/view/420 |
Similar Items
-
River Water Salinity Impact on Drinking Water Treatment Plant Performance Using Artificial neural network
by: Sabreen Hayder Abbas, et al.
Published: (2019-07-01) -
Artificial Neural Networks Modeling of Total Dissolved Solid in the Selected Locations on Tigris River, Iraq
by: Ayad Sleibi Mustafa
Published: (2015-06-01) -
The Effect of Tharthar-Tigris Canal on the Environmental Properties of the Tigris River Northern Baghdad, Iraq
by: Osama S. Majeed, et al.
Published: (2022-12-01) -
Applying HEC-RAS Software to Propose a Dam Site Along the Tigris River Between Mosul and Tikrit, Iraq
by: Alyaa Oleiwi, et al.
Published: (2023-12-01) -
Assessment of Contamination along the Tigris River from Tharthar-Tigris Canal to Azizziyah, Middle of Iraq
by: Alyaa Shakir Oleiwi, et al.
Published: (2022-04-01)