Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq
This study aims to assess the state of pollution in Shatt al- Arab water by measuring the physical and chemical characteristics. The study was based on the link between field data and mathematical models derived from satellite images of Landsat and Geographic Information Systems in order to evaluate...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/33/e3sconf_gases2025_03001.pdf |
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| author | Alrazaq Ban A. Khanjar Ebtesam F. Muhsin Israa J. Al-Ali I.A. |
| author_facet | Alrazaq Ban A. Khanjar Ebtesam F. Muhsin Israa J. Al-Ali I.A. |
| author_sort | Alrazaq Ban A. |
| collection | DOAJ |
| description | This study aims to assess the state of pollution in Shatt al- Arab water by measuring the physical and chemical characteristics. The study was based on the link between field data and mathematical models derived from satellite images of Landsat and Geographic Information Systems in order to evaluate Shatt al-Arab water and to find digital maps that can be used to predict the quality of water along the river. The current study includes evaluating the water of the Shatt al-Arab, studying the concentrations of pollutants in it, and knowing the suitability of its water for different purposes. However, chemical and physical variables related to water quality were studied. These variables were compared with the World Health Organization (WHO) recommendation limits. After the processing of the satellite images, NDWI, MNDWI, NDMI, WRI and AWEI were derived using the mathematical equations for calculating each indicator. The correlation between these derived indicators and the field-measured water quality parameters was calculated and regression equations were built in order to find the best mathematical models for expressing water quality components from satellite images without needing field data. The results show that there is moderate to strong relation between the water quality parameters and derived indices. |
| format | Article |
| id | doaj-art-9049ee6f563842b0829baa060192ccc5 |
| institution | DOAJ |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-9049ee6f563842b0829baa060192ccc52025-08-20T03:21:12ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016330300110.1051/e3sconf/202563303001e3sconf_gases2025_03001Assessment of Shatt al-Arab water quality using water indices in Basrah City of South IraqAlrazaq Ban A.0Khanjar Ebtesam F.1Muhsin Israa J.2Al-Ali I.A.3Department of Remote sensing and GIS, College of Science, University of BaghdadDepartment of Remote sensing and GIS, College of Science, University of BaghdadDepartment of Remote sensing and GIS, College of Science, University of BaghdadDepartment of Geology College of Science, University of BaghdadThis study aims to assess the state of pollution in Shatt al- Arab water by measuring the physical and chemical characteristics. The study was based on the link between field data and mathematical models derived from satellite images of Landsat and Geographic Information Systems in order to evaluate Shatt al-Arab water and to find digital maps that can be used to predict the quality of water along the river. The current study includes evaluating the water of the Shatt al-Arab, studying the concentrations of pollutants in it, and knowing the suitability of its water for different purposes. However, chemical and physical variables related to water quality were studied. These variables were compared with the World Health Organization (WHO) recommendation limits. After the processing of the satellite images, NDWI, MNDWI, NDMI, WRI and AWEI were derived using the mathematical equations for calculating each indicator. The correlation between these derived indicators and the field-measured water quality parameters was calculated and regression equations were built in order to find the best mathematical models for expressing water quality components from satellite images without needing field data. The results show that there is moderate to strong relation between the water quality parameters and derived indices.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/33/e3sconf_gases2025_03001.pdf |
| spellingShingle | Alrazaq Ban A. Khanjar Ebtesam F. Muhsin Israa J. Al-Ali I.A. Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq E3S Web of Conferences |
| title | Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq |
| title_full | Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq |
| title_fullStr | Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq |
| title_full_unstemmed | Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq |
| title_short | Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq |
| title_sort | assessment of shatt al arab water quality using water indices in basrah city of south iraq |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/33/e3sconf_gases2025_03001.pdf |
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