The assessment of a river water’ quality is an essential procedure of monitor programs and isused to collect basic environmental data. The management of integrated water resources in asustainable method is also necessary to allow future generations to meet their water needs. Themain objective of this research is to assess the effect of the Diyala River on Tigris River waterquality using Geographic Information System (GIS) technique. Water samples have beencollected monthly from November 2017 to April 2018 from four selected locations in Tigris andDiyala Rivers using the grab sampling method. Fourteen parameters were studied which areTurbidity, pH, Dissolved Oxygen, Biological Oxygen Demand, Electrical Conductivity, TotalDissolved Solids, Total Hardness, Calcium, Magnesium, Chloride, Sulphate, Phosphate, Sodium,and Total Alkalinity. The results of GIS maps showed that the water quality of the Tigris Rivernearly affected by the water quality of the Diyala River within the locations selected. The mapsalso reveal that in March and April 2018 the quality of surface water got a sudden peakcompared with the other months. This is due to the increase in both the parameter of Turbidityand Total Dissolved Solids. (PDF) The Effect of Diyala River Water Quality on the Quality of Tigris River Water using GIS Mapping. Available from: https://www.researchgate.net/publication/336272200_The_Effect_of_Diyala_River_Water_Quality_on_the_Quality_of_Tigris_River_Water_using_GIS_Mapping [accessed Apr 07 2023].
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Bacteriological characteristics of Tigris river water were assessed monthly to monitor the impact of pollutants of Medical City waste water for the period from January to June-2013. Four stations were selected for the study, the first station placed before the Medical City Complex (500 meters). The second station represent Medical City sewage discharge into the river, where represents the study area. The third station placed (500 meters) after the second station, and the forth station is located on (2000 meters) after the second station.
Samples collected monthly to monitor the changes of water indicators showed that: Total Bacterial Count (10000 to 2700000 cells/1 ml), Total Coliform (200-3700 cells/100 ml), Fecal Coliform (100-2400
Total dissolved solids are at the top of the parameters list of water quality that requires investigations for planning and management, especially for irrigation and drinking purposes. If the quality of water is sufficiently predictable, then appropriate management is possible. In the current study, Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) models were used as indicators of water quality and for the prediction of Total Dissolved Solids (TDS) along the Tigris River, in Baghdad city. To build these models five water parameters were selected from the intakes of four water treatment plants on the Tigris River, for the period between 2013 and 2017. The selected water parameters were Total Dissolved Solids (TDS
... Show MoreThis study was conducted to investigate the effects of Al-Rasheed power plant (RPP) effluents at Al-Zafaraniya city on the physical – chemical of the Tigris River by using Canadian Water Quality Index(CCME WQI).Water samples were taken monthly at four positions and 11parameters were analyzed . The results of this study conducted that there was a significant impact of the RPP effluents on increase of water temperature, turbidity and electrical conductivity, and there was an increase in the phosphate concentration and water hardness at station 2 and the model classified water of Tigris river as poor in winter and fair to marginal in rest season for drinking and aquatic life
Water quality of Al-Gharraf River, which considered the main branch of Tigris River south of Iraq was examined using the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI) for aquatic life protection and irrigation. Water samples were collected monthly from five sampling stations during 2013-2014 and 17 physicochemical parameters were analyzed: Temperature, hydrogen ion concentration (pH), electrical conductivity, dissolved oxygen, turbidity, alkalinity, chloride, calcium, magnesium, sulfate, phosphate, nitrate, sodium, lead, cadmium, nickel and zinc.
The model classified water of Al-Gharraf River as poor for aquatic life protection and fair for irrigation with seasonal overall WQI value of 30-39 and among
In this research, Artificial Neural Networks (ANNs) technique was applied in an attempt to predict the water levels and some of the water quality parameters at Tigris River in Wasit Government for five different sites. These predictions are useful in the planning, management, evaluation of the water resources in the area. Spatial data along a river system or area at different locations in a catchment area usually have missing measurements, hence an accurate prediction. model to fill these missing values is essential.
The selected sites for water quality data prediction were Sewera, Numania , Kut u/s, Kut d/s, Garaf observation sites. In these five sites models were built for prediction of the water level and water quality parameters.
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Different frequency distributions models were fitted to the monthly data of raw water Turbidity at water treatment plants (WTPs) along Tigris River in Baghdad. Eight water treatment plants in Baghdad were selected, with raw water turbidity data for the period (2008-2014). The frequency distribution models used in this study are the Normal, Log-normal, Weibull, Exponential and two parameters Gamma type. The Kolmogorov-Smirnov test was used to evaluate the goodness of fit. The data for years (2008-2011) were used for building the models. The best fitted distributions were Log-Normal (LN) for Al-Karkh, Al-Wathbah, Al-Qadisiya, Al- Dawrah and, Al-Rashid WTPs. Gamma distribution fitted well for East Tigris and Al-Karamah WTPs. As for Al-
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