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The Tigris River is one of the longest rivers in Western Asia and runs through heavily populated areas, especially in Kut and Amara Cities, with nearly 8 million inhabitants. Due to the climatic change and altering the upstream hydrological conditions along the Tigris River, its discharge has severely declined in the last decade, combined with the climate change impact. Hence, studying the impact of climate change on the river and decreasing the annual flow is vital to understand their effect on the river water quality between Kut and Amara sites. The data of this study covers annual flow conditions of the Tigris River, the total dissolved solids (TDS), and the main ions on monthly bases for the period 2005-2010 for the two sites: Kut and Amara. These data were used to establish the relationships between water discharge (m3/sec) with total dissolved solids (mg/l) and main cations (Na+, Ca2+, Mg2+, and K+) and anions (Cl‾, SO42, HCO3‾). The Climatological data for 1980-2020 show that the annual rainfall values for Kut and Amara sites range between 301-577 mm and 69-200 mm respectively. The annual mean minimum temperature of the Kut ranges between15.7-18.8Co. For Amara, it ranges between 16.6-20.7 Co. It is noticed that the rainfall values of both sites decreased over time, and the temperature is constantly increasing due to the climate change effects over the years. The average annual flow of the Tigris River at Kut site ranged from 13 to 367 m3/sec with an average of 233.2 m3/sec, and for Amara ranged between 22 and 101 m3/sec with an average of 50.2 m3/sec. The mean annual TDS ranged from 466 to 1150 mg/l, with an average mean annual 758.30 mg/l for Kut station. For Amara, it is ranged between 634 and 2075 mg/l with an average of 1168.61 mg/l. The decrease in the Tigris River discharge affects the chemistry. Calcium, magnesium, and sulfate ions in Kut station are dominated. While at Amara, sodium and sulfate ions are dominant. Such variation is related to the decrease in the Tigris River discharge and the effect of the dissolution of ions from the geological outcrops by the action of natural waters. Moreover, the entry of the transported dissolved load, the city’s sewage, and the agricultural lands’ water that flows into the river increase as the transportation distance increase from Kut to Amara.

The relationship between Al-Wand lake and groundwater was studied in Khanaqin cityby identifying water levels for Al-Wand lake and the shallow groundwater aquifer for 2019 and 2020. The hydrochemical analyses of Al-Wand river water, Al-Wand lake water and shallow groundwater, and identifying the grain size analysis and mineralogy of the surface sediments have been done. This relationship was adopted on climate data of the study area by knowing which seasons contained water surplus or water deficit, and porosity and permeability define of soil that affects groundwater movement, and identify the salinity that effect on water quality.

The climate parameters of rainfall, and average of maximum and minimum temperature were investigated for the period of 2000-2019 in three stations in central and eastern Iraq (Baghdad, Diyala, and Kut provinces). Evidence of climate change was noticed from the results, reflected by decreased mean values of annual rainfall with increased mean of maximum and minimum temperature. In addition, the water balance and the climatic conditions were determined for Khanaqin station for the years 1981-2019. The analysis of Khanaqin climate parameters demonstrated total annual mean values of rainfall of 260.86mm and evaporation of 3119.59mm. The mean monthly relative humidity was 46.65%, sunshine was 8.39h/day, temperature was 23.36Co and wind speed was 1.86m/sec. Water surplus was recorded in Khanaqin area, with values of (24.00mm) (34.18mm) (40.31mm) (28.83mm) and (19.92mm) in November, December, January, February and March respectively. The climate classification of Khanaqin area indicated semi dry and dry climates. Moreover, the region has water deficit that reached up to 43.56 % of the total rainfall values.

The Tigris River is the second-longest river in Western Asia and runs through heavily populated areas, especially in Baghdad city with nearly 8 million inhabitants. The water demand is at its highest levels, nevertheless the Tigris discharge has severely declined in the last decades; combined with the fact that the wastewater quantities are increasing, and the wastewater treatment plants are experiencing a deficiency. Four sites were chosen: the Tharthar-Tigris Canal which is located in the north part of Baghdad city, Baghdad city, the Diyala River conjunction with the Tigris River site, and Al-Azizziyah site in the south of Baghdad city near Kut government, to determine the effect of the decreasing Tigris River flow on the water quality and to identify the sources of pollution. In this research, the used method evaluates the concentration of the contaminants along the course of the Tigris River to determine the source of the contaminants as the novelty of this research. The data include the discharge of The Tigris River, a hydrochemical analysis, such as major ions and trace elements, and biological parameters (BOD5, COD, E. coli bacteria, and coliform bacteria MPN/100 mL) as contamination indicators. Multivariate statistical techniques (factor analysis) were applied to evaluate spatial variations, for the years 2005 to 2020, and Phreeqc software was used to assess the saturation indices determine the dominant geochemical processes source responsible for surface water quality. The dominant minerals of the Tigris River were gypsum, anhydrite, and halite. The Tigris River is within the permissible limits for drinking, except at the Tharthar-Tigris Canal and Diyala River, and the main water quality deterioration factors of the Tigris River were recognized as: total dissolved solids, E. coli bacteria, fecal coliform bacteria, BOD5, and COD. By applying the SPSS program, two factors were identified. The first anthropogenic factor discharged into the river represents 71.27% of the variance and is comprised of agricultural land wastewater and sewage water. While the second factor represents 17.02%, indicated by the variables Ca2+, K+, Mg2+, and SO42−. This factor accounts for the chemical weathering of rocky components. It is recommended that a periodic monitoring system is needed to. follow up on pollution levels and water quality for the Tigris River, by conducting seasonal surveys.

The technical merit of the proposed method is using multiple techniques that fused in each processing part of filtering, segmentation, and features. The originality is to select the best technique depending on some measurements for implementation. Aiming for better enhancement of selected MRI of AlKindy Hospital Patients, as case study, to get efficient diagnose process is the purpose of the current technique using MATLAB that include smoothing, segmentation, feature extraction and classification. The method uses two filters (Median and Slantlet) and two segmentation methods are used (K-mean cluster and Morphological operation) and the area size is used in feature extraction. The experimental results classification is indicating that 50% of the used images are medium cases of brain tumor and 10% low stage both can be treated, while 40% is of high cases of brain tumor reflected that the treatment is difficult.

A mathematical, field measurements and laboratorial study was adopted to evaluate the validity of many mathematical forms including Horton Model for estimating infiltration rate and infiltration potential, they are; power, polynomial and mixed formulas. The work composed of infiltration field measurements for Hashyimia Region located in the middle of Iraq which for simplicity and accuracy is divided into nine administration agricultural sectors namely as; Jerboeyia, Hashyimia, Niwedra, Tebra, Sada, Zineyia, H3, Fayadhiya, and Bazul sectors. The current study proved that the power formula is the best fit to the measuring data than polynomial, mixed and Horton models since the power formula offers 0.996 correlation factor whereas polynomial, mixed and Horton offer 0.947, 0.958 and 0.84 respectively. It is worth to mention that in all cases Horton Model offers less infiltration potential after 2hrs since infiltration process is started