Water quality assessment along Tigris River (Iraq) using water quality index (WQI) and GIS software

• Published in: Arabian journal of geosciences Vol. 13; no. 14
• Main Authors: Chabuk, Ali, Al-Madhlom, Qais, Al-Maliki, Ali, Al-Ansari, Nadhir, Hussain, Hussain Musa, Laue, Jan
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 2020; Springer Nature B.V
• Subjects: Agricultural research; Computer programs; Contaminants; Contamination; Dry season; Earth and Environmental Science; Earth science; Earth Sciences; Geographical information systems; Geoteknik; GIS; IDW method; Interpolation; Mathematics; Original Paper; Parameters; Prediction maps; Predictions; Quality assessment; Quality control; Rainy season; Regression analysis; Rivers; Software; Soil Mechanics; Stations; Sulphates; Water pollution; Water quality; Water quality assessments; Water quality index; Water quality standards; Weighted arithmetic method; Wet season; Tigris River; Iraq; GIS; Prediction maps; Water quality index; Weighted arithmetic method; IDW method
• ISSN: 1866-7511; 1866-7538; 1866-7538
• DOI: 10.1007/s12517-020-05575-5

Most of the third world countries having rivers passing through them suffer from the water contaminant problem. This problem is considered so difficult to get the water quality within the standard allowable limits for drinking, as well as for industrial and agricultural purposes. This research aims to assess the water quality of the Tigris River using the water quality index method and GIS software. Twelve parameters (Ca, Mg, Na, K, Cl, SO 4 , HCO 3 , TH, TDS, BOD 5 , NO 3 , and EC) were taken from 14 stations along the river. The weighted arithmetic method was applied to compute the water quality index (WQI). The interpolation method (IDW) was applied in ArcGIS 10.5 to produce the prediction maps for 12 parameters at 11 stations along the Tigris River during the wet and dry seasons in 2016. The regression prediction was applied on three stations in the Tigris River between observed values and predicted values, from the prediction maps, in both seasons. The results showed that the regression prediction for all parameters was given the acceptable values of the determination coefficient ( R 2 ). Furthermore, the state of water quality for the Tigris River was degraded downstream of the Tigris River, especially at the station (8) in Aziziyah in the wet and dry seasons and increase degradation clearly at Qurnah (Basrah province) in the south of Iraq. This paper considers the whole length of the Tigris River for the study. This is important to give comprehensive knowledge about the contamination reality of the river. Such that it becomes easier to understand the problem of contamination, analyze it, and then find the suitable treatments and solutions.