Issue |
E3S Web Conf.
Volume 633, 2025
International Forum of Global Advances in Sustainable Environment, Energy, and Earth Sciences (GASES 2025)
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 11 | |
Section | Hydrology and Water Resources | |
DOI | https://doi.org/10.1051/e3sconf/202563303001 | |
Published online | 04 June 2025 |
Assessment of Shatt al-Arab water quality using water indices in Basrah City of South Iraq
1 Department of Remote sensing and GIS, College of Science, University of Baghdad, Baghdad, Iraq
2 Department of Geology College of Science, University of Baghdad, Baghdad, Iraq
* Corresponding author: Ebtesam.khanjer@sc.uobaghdad.edu.iq
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.