ANN-based model to predict groundwater salinity: A case study of West Najaf–Kerbala region
Estimating groundwater salinity is important for the use of groundwater resources for irrigation purposes and provides a suitable guide for the management of groundwater. In this study, the artificial neural networks (ANNs) were adopted to estimate the salinity of groundwater identified by total dis...
Main Authors: | Al-Waeli Luay Kadhim, Sahib Jumana Hadi, Abbas Hiba Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2022-03-01
|
Series: | Open Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/eng-2022-0025 |
Similar Items
-
Landfill Site Selection for Kerbala Municipal Solid Wastes by Using Geographical Information System Techniques
by: Riyad Al-Anbari, et al.
Published: (2014-12-01) -
Assessment of Groundwater Vulnerability Using Lulc Map and DRASTIC Technique in Bahr AL-Najaf Area, Middle of Iraq
by: Ali H. Al-Aboodi, et al.
Published: (2019-09-01) -
Assessment of Groundwater Vulnerability Using Lulc Map and DRASTIC Technique in Bahr AL-Najaf Area, Middle of Iraq
by: Ali H. Al-Aboodi, et al.
Published: (2019-10-01) -
Prevalence of Hydatidosis among slaughtered ruminants in Al-Najaf slaughter house, Al-Najaf, Iraq
by: Khaleel Zainel Khaleel, et al.
Published: (2013-06-01) -
Study the Rate of Hydatid Cysts, Liver Fluke, Pneumonia and Hepatitis in Al- Najaf Slaughter House, Al-Najaf, Iraq
by: Asaad chasib alatabi, et al.
Published: (2017-12-01)