Phytoplankton community is a model for of monitoring  aquatic systems and interpreting the environmental change in aquatic systems. The present study aimed to forecast environmental parameters that drive the change of phytoplankton community structure in the lake. The present study was carried out in Baghdad Tourist Island Lake (BTIL) for the period From October 2021 to May 2022. The study included the quality and quantity of phytoplankton, moreover, the highest and lowest value of the physical and chemical parameters were (Water temperature (13-30 °C), Light penetration (94-275cm), electric conductivity (837-1128 µS/cm), salinity (0.5-0.7 ‰), pH (7-8.2), total alkalinity (126-226 mg CaCO3/L), total Hardness (297-395 mg CaCO3/L

Artificial Intelligence Algorithms have been used in recent years in many scientific fields. We suggest employing flower pollination algorithm in the environmental field to find the best estimate of the semi-parametric regression function with measurement errors in the explanatory variables and the dependent variable, where measurement errors appear frequently in fields such as chemistry, biological sciences, medicine, and epidemiological studies, rather than an exact measurement. We estimate the regression function of the semi-parametric model by estimating the parametric model and estimating the non-parametric model, the parametric model is estimated by using an instrumental variables method (Wald method, Bartlett’s method, and Durbin

This research aims to Presented model can be applicable – in the frame of current accounting implementations - to measure environmental effects and disclosure then in the financial statements of economic entities after determined the environmental performance scopes of environmental activities that is works by this entities , because of importance of accounting information which presentation by accounting systems which's effectiveness tool on hand of decision maker about site plans and goals and drawing policies aims protection environment sustainable the represented of naturalism wealth elements . The researcher could be able to application his suggested model which's proof the ability to environmental accounting measurement and discl

Sixteen polycyclic aromatic hydrocarbons (PAHs) concentrations were measured in aerosol samples collected for the period from April 2012 to February 2013 at thermal south power station of Baghdad. Fourty one aerosol sample were extracted with (1:1) dichloromethane and methanol using soxhlet for seventeen hour. The extraction solution was analyzed applying GC/MS. The PAH concentrations outside thermal south power station were higher than those inside it, and higher in summer season than in winter. Naphthalene, pyrene, Anthracene, Indeno [1, 2, 3-cd] pyrene and Phenanthrene were the most abundant PAHs detected in all points at the site sampling. The total polycyclic aromatic hydrocarbon (TPAH) and total suspended particles (TSP) concentrat

The present study aims to assess the water quality and the hydrochemical characteristics and seasonal variation of surface water on the aspect of trace elements in Al-Tarmiyah District, Baghdad, Iraq. Ten water samples were collected, four from surface water and six from groundwater on October 2017, and on April 2018. All samples were analyzed for physiochemical parameters such as water temperature, pH, EC, TDS,TH,TSS, major ions (Ca²⁺, Mg²⁺, Na⁺, K⁺, SO₄^2-, Cl^-, and HCO₃^-), and nutrients (NO₃^-, and PO₄^3-). In addition, samples were analyzed for trace elements that include Fe, Al, Pb, Zn, Mn, Cr,

To assess the environmental pollution of the soil at north Baiji City, the concentration of As, Se, Cr, Co, Cu, Cd, Sb, Mn, Mo, Ni, Pb, V, U, Sr, Ba, Ag, Rb, Li, Sn, Bi, Tl and Zn were determined in 18 sites. Results showed that the range concentrations of metal in mg/kg were Mo (0.84-2.15), Cu (17.62-78.77), Pb (9.89-19.19), Zn (39.5-374.7), Ag (0.064-0.14), Ni (90.7-210), Co (12.8-26.6), Mn (407-863), As (4-7.1), Cd (0.18-0.37), Sb (0.38-0.77), Bi (0.06-0.17), V (74-281), Cr (128-287), Li (15.3-24.4), Tl (0.14-0.24), Sn (0.6-1.7), Rb (28-51.2), U (1.2-1.5), Se (0.3-0.6), Ba (173-310), Sr (218-1270). Based on enrichment factor (EF) of trace elements, Mo, Cu, Pb, Mn, Bi, U, V, Li, Sn, Rb, Ba and Tl were showed deficiency to minimal enric

     Brick factories distributed within the study area use fuel oil to complete the burning of the bricks, were high amounts of gases and suspended particles with different concentrations of heavy elements are produced and cause air and soil pollution. It is noted that the workers suffer from respiratory diseases and other health problems. This study is an attempt to detect the sources and concentrations of pollutants and to propose modalities for their treatment and reduction. Air and soil samples were collected from different sites in Abu Smeache brick factory in Al-Kifl area to the south of Babel city, Iraq, during two seasons (summer and winter). The process also included collecting and modelling of dust and soil

Soil resistivity depends on many overlapping factors, which influence it in various ways. The aim of this study was to determine the effects of some physical and chemical factors on soil apparent resistivity. The results of field, laboratory, and statistical studies revealed a complex relationship between water content, pH, and salinity with soil apparent resistivity. The results showed that water content had a clear effect on apparent resistivity, as it increased significantly when water content value decreased to less than about 5%. The results also showed that increasing the salinity ratio at the expense of water content led to an increase in the apparent resistivity values. The apparent resistivity values also increased significantly