Seasonally variations in Physio-chemical parameters of Al-Auda Marsh were investigated from November 2012 to July 2013. In this research examine pH, turbidity, EC, DO, BOD5 and Ca+2, Mg+2, NO2 , NO3 , PO4 , SiO3 ions. Six sites were randomly located and water samples. pH values varied from (7.3 ±0.0) in site 4 during autumn to (8.5±0.5) in site 6 during winter, EC values ranged from (2020±186) μ.s/cm in site 5 during autumn to (6390±875) μ.s/cm in site 6 during summer, mean turbidity data were found to vary from (6.5 ±1.8) NTU in site 4 in summer to (31.0 ±1.6) NTU in site 3 in autumn. DO highest mean value (10.9 ± 0.6) was for site 6 in autumn and the lowest value (6.5±0.9) mg/l for site3 in spring. In case of BOD5 highest and lowest mean values were (4.8 ±0.3) mg/l in site 3 during autumn and (1.2 ±0.3) mg/l in site 2 during winter. Mean Ca+2 ions ranging from (46±9.4) mg/l in site 4 during autumn to (361±19.6) mg/l in site 1 during summer, mean value of Mg+2 ion varied from (18 ±9.5) mg/l in site 5 in autumn to (274 ±44.2) mg/l in summer for site 1. Also, mean PO4-3 values of varying from (0.01±0.0) mg/l in sample of site 6 during winter to (0.3±0.08) mg/l in sample of site 6 during spring. The mean NO3 values was varied from (1.8±0.8) mg/l in site 6 during winter to (6.9 ±0.5) mg/l in site 5 during autumn while in case of NO2 were (0.1±0.0) mg/l in both sites 5 and 6 during spring to (0.35 ±0.01) mg/l in site 1 during autumn. SiO3 data found to vary from (1.0±0.5) mg/l in site 6 during autumn to (6.35 ±0.5) mg/l in site 2 during summer.
This study investigates data set as satellite images of type multispectral Landsat-7, which are observed for AL_Nasiriya city, it is located in southern of Iraq, and situated along the banks of the Euphrates River. These raw data are thermal bands of satellite images, they are taken as thermal images. These images are processed and examined using ENVI 5.3 program. Consequently, the emitted Hydrocarbon is extracted, and the black body algorithm is employed. As well as, the raster calculations are performed using ArcGIS, where gas and oil features are sorted. The results are estimate and determine the oil and gas fields in the city. This study uncovers, and estimates several unexplored oil and gas fields. Whereas,
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In this article four samples of HgBa2Ca2Cu2.4Ag0.6O8+δ were prepared and irradiated with different doses of gamma radiation 6, 8 and 10 Mrad. The effects of gamma irradiation on structure of HgBa2Ca2Cu2.4Ag0.6O8+δ samples were characterized using X-ray diffraction. It was concluded that there effect on structure by gamma irradiation. Scherrer, crystallization, and Williamson equations were applied based on the X-ray diffraction diagram and for all gamma doses, to calculate crystal size, strain, and degree of crystallinity. I
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The charge density distributions (CDD) and the elastic electron scattering form
factors F(q) of the ground state for some odd mass nuclei in the 2s 1d shell, such
as K Mg Al Si 19 25 27 29 , , , and P 31
have been calculated based on the use of
occupation numbers of the states and the single particle wave functions of the
harmonic oscillator potential with size parameters chosen to reproduce the observed
root mean square charge radii for all considered nuclei. It is found that introducing
additional parameters, namely; 1 , and , 2 which reflect the difference of the
occupation numbers of the states from the prediction of the simple shell model leads
to very good agreement between the calculated an
The charge density distributions (CDD) and the elastic electron scattering form
factors F(q) of the ground state for some odd mass nuclei in the 2s 1d shell, such
as K Mg Al Si 19 25 27 29 , , , and P 31
have been calculated based on the use of
occupation numbers of the states and the single particle wave functions of the
harmonic oscillator potential with size parameters chosen to reproduce the observed
root mean square charge radii for all considered nuclei. It is found that introducing
additional parameters, namely; 1 , and , 2 which reflect the difference of the
occupation numbers of the states from the prediction of the simple shell model leads
to very good agreement between the calculated an