The assessment of a river water’ quality is an essential procedure of monitor programs and is used to collect basic environmental data. The management of integrated water resources in a sustainable method is also necessary to allow future generations to meet their water needs. The main objective of this research is to assess the effect of the Diyala River on Tigris River water quality using Geographic Information System (GIS) technique. Water samples have been collected monthly from November 2017 to April 2018 from four selected locations in Tigris and Diyala Rivers using the grab sampling method. Fourteen parameters were studied which are Turbidity, pH, Dissolved Oxygen, Biological Oxygen Demand, Electrical Conductivi

Groundwater is very important for different uses in the present study area which represents Jisr Diyala, located in southeastern Baghdad and covered with quaternary deposits which include the shallow aquifer in the area. Groundwater and surface water were investigated to determine their suitable uses. The main ion concentrations of the wet period seemed to be lower than those in the dry period. According to TDS values, the water is classified as brackish to salty with a high degree of hardness. Most of water samples were of NaCl type due to pollution with sewage water and rock-water interaction. The results show that the water of the study area is suitable for livestock and irrigation purposes only.

Erbil city is located in the northern Iraq with a population of over one million people. Due to water crises farmers usually use wastewater and well water for the agricultural production. In this study six stations were designed to sample waste water and three from well water to define waste water and ground water characteristics. In this study, Residual Na⁺ Carbonate, Mg⁺⁺ hazard, salinity hazard, Kelley index, %sodium, total hardness, permeability index, potential salinity, sodium adsorption ratio, and Irrigation Water Quality Index (IWQI) were determined. The order of average cation concentrations in water was Mg²⁺> Ca²⁺ > Na⁺ > K⁺. While the proportion of main

In this research an Artificial Neural Network (ANN) technique was applied for the prediction of Ryznar Index (RI) of the flowing water from WTPs in Al-Karakh side (left side) in Baghdad city for year 2013. Three models (ANN1, ANN2 and ANN3) have been developed and tested using data from Baghdad Mayoralty (Amanat Baghdad) including drinking water quality for the period 2004 to 2013. The results indicate that it is quite possible to use an artificial neural networks in predicting the stability index (RI) with a good degree of accuracy. Where ANN 2 model could be used to predict RI for the effluents from Al-Karakh, Al-Qadisiya and Al-Karama WTPs as the highest correlation coefficient were obtained 92.4, 82.9 and 79.1% respectively. For

The study area, Tlul Al-Baj, suffers from a shortage of fresh water and most people depend on groundwater for different uses (drinking, domestic, irrigation, etc.).

The present research aims to select the most suitable wells for desalination and production of potable water in Tlul Al-Baj area.

Twenty-two samples of groundwater were collected to evaluate the hydrochemical properties of groundwater in the shallow aquifer in the area and to determine their suitability for desalination purposes. The study included measuring the physicochemical characteristics of groundwater, such as total hardness (TH), total dissolved solids(TDS), sodium adsorption ratio (SAR), sodium ratio (Na%), turbidity (Tur), pH…etc. Chemical anal

The study aims to identify the acceptability of drinking water for human consumption depend on Iraqi specification and WHO standards. Samples collected monthly for each station from March to December2014. The samples collected from six stations distributed in Baghdad City, the first two stations located in al-Kadmyai area , the 3rd and 4th located in AL- Doora while the last two stations located in Al-Amryai area. The study measured physical, chemical and bacteriological factors. The measured parameters were ranged each for pH 6.63-7, turbidity 0.4-1.3NTU,TDS394.2-960mg/l,total hardness 259.1-578while Ca and Mg were 43-134,20.1-72 mg /l respectively. Other chemical parameters like chloride ranged from 56.8-184 mg/l and heavy metals range

In this research an Artificial Neural Network (ANN) technique was applied for the prediction of Ryznar Index (RI) of the flowing water from WTPs in Al-Karakh side (left side) in Baghdad city for year 2013. Three models (ANN1, ANN2 and ANN3) have been developed and tested using data from Baghdad Mayoralty (Amanat Baghdad) including drinking water quality for the period 2004 to 2013. The results indicate that it is quite possible to use an artificial neural networks in predicting the stability index (RI) with a good degree of accuracy. Where ANN 2 model could be used to predict RI for the effluents from Al-Karakh, Al-Qadisiya and Al-Karama WTPs as the highest correlation coefficient were obtained 92.4, 82.9 and 79.1% respe

     Water treatment plants play an important role in the purification and distribution of safe drinking water to the public. The present study focused on the performance assessment of the Al-Rasheed water treatment plant [ARWTP]. The main objectives of the assessment were to determine the efficiency of various plant units as well as the quality of inlet water from the Tigris River. Results obtained from the collected data indicated the presence of high concentrations of soluble nitrate and phosphate ions in the filtered water. The removal efficiency of alkalinity, EC, total hardness, SO₄, Cl, NO₃ and PO₄ were found to be (+11.05%), (-0.67%), (-29.33%), (-2.64%), (-6.25%), (-32.13%), and (0%) respecti