For hydrochemical assessment of water resources at Baquba City, Diyala Governorate, four surface water samples were collected from the Diyala River and eight groundwater samples inside the city of Baquba. The samples were collected in the two periods, the dry period in October 2018 and the wet period in February 2019. The pH, EC, TH, turbidity, the major ions and trace elements (Fe, Cu, Co, Cd, Pb, Zn and Ni) were investigated. The results showed that the surface and groundwater are turbid, very hard and slightly brackish to moderately saltine in the groundwater, while it is hard to very hard and fresh in surface water. Heavy element analyzes revealed contamination of surface water samples and groundwater with the elements Cadmi

   The natural radioactivity levels in water samples along the Tigris river (one of the major rivers of the world) within Baghdad city were investigated to determine and evaluate the radioactivity risks in the water of the river. The specific activity of the radionuclides (²³⁸U, ²³²Th, ⁴⁰K, and ¹³⁷Cs) for thirty different water samples from Tigris river within Baghdad city were measured using gamma-ray spectrometer, employing a NaI(Tl) scintillation detector. The results showed that the average value of the specific activity for ²³⁸U, ²³²Th, ⁴⁰K, and ¹³⁷Cs were (24.20, 16.70, 329.22, and 19.40) Bq/l, respectively. The calculated average annual effec

The current research aims to first - reveal the social repercussions of COVID-19 on women A - The impact of the epidemiological crisis on the social structure of the family B - Psychological and social pressures that women are exposed to during the Covid pandemic C - Social isolation resulting from the injury of a member Second - Understanding the health consequences of COVID-19 on women A- Mechanisms of differentiation in the treatment of Covid-19 treatment, home or hospital As for the limits of the research, the current research is determined by some private universities of students, female employees and teaching staff in Karkh district, which number eight (Al-Hikma, Al-Farahidi, Al-Farabi, Tigris, AlTurath, Al-Rashid, Al-Mashreq, Al-Nuso

In this study, four sampling stations were selected on the Tigris River (Baghdad region) in order to determine concentrations, seasonal variation and pollution intensity assessment of heavy metals (Cd, Zn and Mn) in water, sediments and Barbus xanthpterus fish in this river. The study results showed that the mean concentration of dissolved heavy metals (cadmium, zinc and manganese) were 0.004 ppm, 0.023 ppm and 0.007 ppm, respectively. Whereas, their concentrations in sediments were 1.38 ppm, 86 ppm and 231.4 ppm respectively. Irregular seasonal variation for concentrations of these metals in both sediments and water. The mean concentration of these metals in tissues of fish muscles were 0.0043 ppm, 0.0023 ppm and 0.03 ppm for cadmium, z

The current study aims to find a new plan to manage the water quality of the western part of the Hammar Marsh to reduce the salts that cause problems for the marshes and preserve their environmental life by isolating the southwestern part of the Hammar Marsh by closing the outlet under the railway embankment. The outlet is discharging saline water to the east-western part of Al Hammar Marsh. After isolating the southwestern part of the marsh, a new outlet is proposed. The impact of the flow hydrodynamics on improving the water quality was simulated using the SMS model. The hydrodynamics and water quality simulation models for the marsh are : a hydrodynamic model and average depth (SMS RMA2) and a two-dimensional water quality model (SMS

Background: Satisfied caregivers are more likely to return for further care and to recommend the primary health care center services to others. Satisfied caregivers usually are compliant with the medical provider advice and the recommended treatment plan. Compliance will eventually lead to better health outcomes.

Method: A cross-sectional study with an analytic element was conducted during the period from the beginning of July to the end of September 2020. A convenient sample was collected from six primary health care centers in Al-Karkh side of Baghdad city where caregivers who attend those centers with their children for under

Almost human societies are not void of poverty, as the latter accompanied the emergence of humanity, and it, thus, represents an eternal problem. To advance an individual's reality and raise the level of the poor social classes, social security networks have been established. Such networks operate in society following social systems and laws to provide food, and material support. Besides, such networks help to rehabilitate the individual academically and vocationally. They empower vulnerable groups through the establishment of courses and workshop, provide (conditional) subsidies related to the health and educational aspects in order to achieve the sustainable development goals of (2030), and apply developmental roles of social safety ne

The river water salinity is a major concern in many countries, and salinity can be expressed as total dissolved solids. So, the water salinity impact of the river is one of the major factors effects of water quality. Tigris river water salinity increase with streamline and time due to the decrease in the river flow and dam construction from neighboring countries. The major objective of this research to developed salinity model to study the change of salinity and its impact on the Al-Karkh, Sharq Dijla, Al-Karama, Al-Wathba, Al-Dora, and Al-Wihda water treatment plant along Tigris River in Baghdad city using artificial neural network model (ANN). The parameter used in a model built is (Turbidity, Ec, T.s, S.s, and TDS in)

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

Concentrations and distribution of major, minor, and trace elements were
studied in thirteen sediment samples from Al-Hammar Marsh.
Multivariate statistical techniques such as Principal Component Analysis (PCA)
and Agglomerative Hierarchal Cluster Analysis (AHCA) as well as pollution
analysis such as Enrichment Factor (EF) were used to process the data and identify
the possible sources of elemental constituents in sediment samples.Results of
chemical analysis revealed that Major element mean concentrations were in the
order of Ca> Si> K> Mg> and minor elements were in the order of Al> Fe>S>Cl>
Ti> P>Mn> Sr> N and trace elements were in the order of Cr> Ni> Zr>V>Zn&gt