WQ assessment of water treatment plants using environmental and statistical indicators within Baghdad City

Abstract

The primary task that is facing most developing countries is the untreated disposal of wastewater into the water bodies. In order to meet the water needs of future generations, the integrated water resources should be managed within a sustainable method. This study illustrates the assessment and judgment of the suitability of Tigris River for drinking purposes using water quality index (WQI) and the selection of the mostly significant water quality WQ parameters that affect Tigris River deterioration using Artificial Neural Network (ANN). Along with Baghdad city, nine stations of Tigris River were assessed for fourteen physicochemical parameters. Results, Tigris River, was classified (poor – polluted) according to the Weighted arithmetic WQI (WA-WQI) with turbidity and Total dissolved solids (TDS) are the most parameter affecting on the WQ.