Abdulwahid, Waleed Mohammed and Ghanbari, Abolfazl (2024) Water Quality Monitoring of Tigris and Euphrates Basin by Using Geographic Weighted Regression (GWR). Asian Journal of Advanced Research and Reports, 18 (11). pp. 184-199. ISSN 2582-3248
Ghanbari18112024AJARR125251.pdf - Published Version
Download (1MB)
Abstract
Water is a vital resource required for agriculture, industry, ecosystems and human life. However, Iraq faces severe water quality challenges due to pollution. Climate change urbanization and agricultural runoff which affected the Tigris and Euphrates rivers. This study uses geospatial tools for remote sensing. Including salinity, turbidity, soil pH, nitrogen data from Landsat 8, Sentinel-5P and other sources. Used to assess important water quality indicators. Including oxide (NO2) levels and chlorophyll concentrations. Areas at danger of eutrophication were indicated by amounts of chlorophyll, which is a measure of phytoplankton levels. Measurements of soil pH also revealed changes that can impact water chemistry and nutrient availability. The analytical hierarchy process (AHP) divides water quality into five risk levels from very low to very high. The findings revealed significant regional variation, namely downstream areas having high salinity levels. Meanwhile, turbidity measurements showed sediment accumulation in the central highlands. Areas with intense agricultural and industrial activity have increased. NO2 concentrations, signaling the point of pollution. Chlorophyll data points to risk of eutrophication in still waters. Variations in soil pH also affect nutrient availability and water chemistry. Affecting the aquatic ecosystem The study identifies high-risk areas that require immediate water management intervention. It provides important insights for developing a sustainable water resources strategy in Iraq.
Item Type: | Article |
---|---|
Subjects: | Lib Research Guardians > Multidisciplinary |
Depositing User: | Unnamed user with email support@lib.researchguardians.com |
Date Deposited: | 09 Nov 2024 04:46 |
Last Modified: | 09 Nov 2024 04:46 |
URI: | http://eprints.classicrepository.com/id/eprint/2803 |