Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution Index
Diwaniya is one of the middle Euphrates cities through which the Euphrates River passes through. The Euphrates section that passes through Diwaniya city is called (Shatt al-Diwaniya). This study deals with the river water quality for the period between 2015 and 2023 at that section. The aim of study...
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Faculty of Engineering, University of Kufa
2025-04-01
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| Series: | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
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| Online Access: | https://journal.uokufa.edu.iq/index.php/kje/article/view/15782 |
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| author | Ahmed M. Al-Sulaiman RUSOL M.M Shubbar BASIM H. K. Al-Obaidi |
| author_facet | Ahmed M. Al-Sulaiman RUSOL M.M Shubbar BASIM H. K. Al-Obaidi |
| author_sort | Ahmed M. Al-Sulaiman |
| collection | DOAJ |
| description | Diwaniya is one of the middle Euphrates cities through which the Euphrates River passes through. The Euphrates section that passes through Diwaniya city is called (Shatt al-Diwaniya). This study deals with the river water quality for the period between 2015 and 2023 at that section. The aim of study is to assess the influence of pollution on the sustainability quality of Shatt al-Diwaniyah area using the Nemerow pollution index (NPI) based on artificial neural network (ANN) and regression analysis model (RA). To determine critical water performance parameters for the river section, investigation is required precisely to find out which characteristics and stations contribute to river pollution. Physicochemical water parameters such as Biochemical Oxygen Demand (BOD5), Total Dissolved Solid (TDS), pH, Dissolved Oxygen (DO), Nitrate (NO3), and phosphates (PO4) along the length of the river were measured by fifteen sites from Diwaniya's river during (2015-2023). NPI was calculated for the water samples in each station of examination. The growing NPI value indicated that the river water quality in this section is deteriorating. Where the river's NPI values vary between 2.14 and 3.48, indicating that its water quality is slightly polluted. Mathematical models of artificial neural networks and regression concluded that the most polluted parameter is phosphate PO4 which is concentrated in station 15 which recapitulates that river water is not suitable for use as a source of drinking water, besides, it can still be consumed to irrigate agricultural property and plants |
| format | Article |
| id | doaj-art-8a570cf5536f4f74b2e2914b248c6740 |
| institution | DOAJ |
| issn | 2071-5528 2523-0018 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Faculty of Engineering, University of Kufa |
| record_format | Article |
| series | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
| spelling | doaj-art-8a570cf5536f4f74b2e2914b248c67402025-08-20T03:11:51ZengFaculty of Engineering, University of KufaMağallaẗ Al-kūfaẗ Al-handasiyyaẗ2071-55282523-00182025-04-01160211510.30572/2018/KJE/160201Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution IndexAhmed M. Al-Sulaiman0https://orcid.org/0000-0001-6708-442XRUSOL M.M Shubbar1https://orcid.org/0000-0002-5526-2409BASIM H. K. Al-Obaidi2civil department/college of engineering/university of al-qadisiyah, qadisiyah, iraqcivil department/college of engineering/university of Baghdad, baghdad, iraqcivil department/college of engineering/university of baghdad/baghdad, iraqDiwaniya is one of the middle Euphrates cities through which the Euphrates River passes through. The Euphrates section that passes through Diwaniya city is called (Shatt al-Diwaniya). This study deals with the river water quality for the period between 2015 and 2023 at that section. The aim of study is to assess the influence of pollution on the sustainability quality of Shatt al-Diwaniyah area using the Nemerow pollution index (NPI) based on artificial neural network (ANN) and regression analysis model (RA). To determine critical water performance parameters for the river section, investigation is required precisely to find out which characteristics and stations contribute to river pollution. Physicochemical water parameters such as Biochemical Oxygen Demand (BOD5), Total Dissolved Solid (TDS), pH, Dissolved Oxygen (DO), Nitrate (NO3), and phosphates (PO4) along the length of the river were measured by fifteen sites from Diwaniya's river during (2015-2023). NPI was calculated for the water samples in each station of examination. The growing NPI value indicated that the river water quality in this section is deteriorating. Where the river's NPI values vary between 2.14 and 3.48, indicating that its water quality is slightly polluted. Mathematical models of artificial neural networks and regression concluded that the most polluted parameter is phosphate PO4 which is concentrated in station 15 which recapitulates that river water is not suitable for use as a source of drinking water, besides, it can still be consumed to irrigate agricultural property and plantshttps://journal.uokufa.edu.iq/index.php/kje/article/view/15782artificial neural network (ann)euphrates river (diwaniyah river)modelswater quality assessmentnemerow pollution index (npi) |
| spellingShingle | Ahmed M. Al-Sulaiman RUSOL M.M Shubbar BASIM H. K. Al-Obaidi Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution Index Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ artificial neural network (ann) euphrates river (diwaniyah river) models water quality assessment nemerow pollution index (npi) |
| title | Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution Index |
| title_full | Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution Index |
| title_fullStr | Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution Index |
| title_full_unstemmed | Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution Index |
| title_short | Water Quality Evaluation of Diwaniyah River Using The Nemerow Pollution Index |
| title_sort | water quality evaluation of diwaniyah river using the nemerow pollution index |
| topic | artificial neural network (ann) euphrates river (diwaniyah river) models water quality assessment nemerow pollution index (npi) |
| url | https://journal.uokufa.edu.iq/index.php/kje/article/view/15782 |
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