The study was designed in the northwestern part of Karbala city for the purpose of knowing the efficiency of some plant species of trees and shrubs planted by the municipality of the city to contribute to the deposition of dust particles suffered by the city's environment, in particular, as well as its ability to accumulate heavy metals in dust or soil, and to consider the study model for application in different parts of Iraq. It was found that the plant species (Acacia , Eucalyptus , Clkonukiyrs and Dodenia) in the studied area that were given the symbols (A,B,C and D respectively). Used the method of calculating the leaf area index to calculate the amount of dust drawn by the stock plant, then chemical digestion dry and wet techniques spectroscope Flame atomic and spectroscope atomic Flame is to detect the level of metals (lead, Pb, cadmium Cd, Selenium, Se, chromium, Cr, cobalt, Co, As, iron Fe, zenc, Zn, and manganese Mn) accumulated in the leaves of each type of plant. It was recorded in the resent study four genera of plants ( Acacia , Alkonukiyrs , eucalyptus andDodenia) and given the symbols A, B, C and D , respectively), the results show the superiority leaves (B) in the deposition of particles of airborne dust where recorded 3168.50 and 1581.86 Mikgm/cm2 paper , followed by leaf (D) 1630, and 1562.06 Mikgm /cm2 and then leaves (C) 1254.82 and 1317.83 Mikgm / cm2 , followed by leaf (A) and recorded 581.25 and 1071.87 Mikgm/cm2 weight dry and wet respectively . As for the accumulation of heavy metals (lead , cadmium , selenium , chromium , cobalt , tin , iron , zinc , and manganese ), the results show that the plant (A ) had the highest capacity in the accumulation of most of the elements studied , followed by the plant (C) and plant (D ) and leaf (B). was the order of items cumulatively in plants follows : Fe > Se > Zn >Mn> Cu> As >Pb> Co > Cd > Cr, as recorded rates respectively ( 95.4 , 58.2 , 32.5 , 31.8 , 10 , 6.2 , 1.72 , 1.67 , 1.43 and 0.32 Mikgm /cm2
The problem of Bi-level programming is to reduce or maximize the function of the target by having another target function within the constraints. This problem has received a great deal of attention in the programming community due to the proliferation of applications and the use of evolutionary algorithms in addressing this kind of problem. Two non-linear bi-level programming methods are used in this paper. The goal is to achieve the optimal solution through the simulation method using the Monte Carlo method using different small and large sample sizes. The research reached the Branch Bound algorithm was preferred in solving the problem of non-linear two-level programming this is because the results were better.
In this research, the nonparametric technique has been presented to estimate the time-varying coefficients functions for the longitudinal balanced data that characterized by observations obtained through (n) from the independent subjects, each one of them is measured repeatedly by group of specific time points (m). Although the measurements are independent among the different subjects; they are mostly connected within each subject and the applied techniques is the Local Linear kernel LLPK technique. To avoid the problems of dimensionality, and thick computation, the two-steps method has been used to estimate the coefficients functions by using the two former technique. Since, the two-
... Show More
Unconfined Compressive Strength is considered the most important parameter of rock strength properties affecting the rock failure criteria. Various research have developed rock strength for specific lithology to estimate high-accuracy value without a core. Previous analyses did not account for the formation's numerous lithologies and interbedded layers. The main aim of the present study is to select the suitable correlation to predict the UCS for hole depth of formation without separating the lithology. Furthermore, the second aim is to detect an adequate input parameter among set wireline to determine the UCS by using data of three wells along ten formations (Tanuma, Khasib, Mishrif, Rumaila, Ahmady, Maudud, Nahr Um
... Show More
(1)
The study focused on the treatment of real oilfield produced water from the East Baghdad field affiliated to the Midland Oil Company (Iraq) using an oil skimming process followed by a coagulation/flocculation process for zero liquid discharge system applications. Belt type oil skimmer was utilized for evaluating the process efficiency with various operating conditions such as temperature (17-40 °C) and time (0.5-2.5 hr.). Polyaluminum chloride (PAC) coagulant and polyacrylamide (PAM) flocculant was used to investigate the performance of the coagulation/flocculation process with PAC dosage (5-90 ppm) and pH (5-10) as operating conditions. In the skimming process, the oil content, COD, turbidity, and TSS decreased with an increase in tempera
... Show More- Islamic art is applied art that searches for everything that is useful and beneficial and Both are properties of Islamic art. Islamic art has many well-established elements and styles and pictures that distinguish it from the rest of the arts among those elements and methods that were used in the architectural cladding artwork Or mosaic murals and mosaic was known in its first form in Babylon in a primitive style similar to it, but the Muslim artist in the era of the Caliphs made the art of mosaic In mosques and palaces.
Chapter one: This chapter is concerned with introducing the art of mosaic historically and focusing on it.
Chapter Two: This chapter deals with contemporary Islamic mosaics, especially in Mecca
(7)
(2)
(19)
(19)
Abstract
Characterized by the Ordinary Least Squares (OLS) on Maximum Likelihood for the greatest possible way that the exact moments are known , which means that it can be found, while the other method they are unknown, but approximations to their biases correct to 0(n-1) can be obtained by standard methods. In our research expressions for approximations to the biases of the ML estimators (the regression coefficients and scale parameter) for linear (type 1) Extreme Value Regression Model for Largest Values are presented by using the advanced approach depends on finding the first derivative, second and third.