TREATMENT OF A HIGH STRENGTH ACIDIC INDUSTRIAL CHEMICAL WASTEWATER USING EXPANDED BED ADSORBER

Treatment of a high strength acidic industrial wastewater was attempted by activated carbon adsorption to evaluate the feasibility of yielding effluents of reusable qualities. The experimental methods which were employed in this investigation included batch and column studies. The former was used to evaluate the rate and equilibrium of carbon adsorption, while the latter was used to determine treatment efficiencies and performance characteristics. Fixed bed and expanded bed adsorbers were constructed in the column studies. In this study, the adsorption behavior of acetic acid onto activated carbon was examined as a function of the concentration of the adsorbate, contact time and adsorbent dosage. The adsorption data was modeled with Freundlich and Langmuir adsorption isotherms.The amount of acetic acid adsorbed increased with the decrease in initial concentration of acetic acid and increased with the increase in contact time and adsorbent dose. The effects of various important and influencing parameters such as flow rate, bed height, inlet adsorbate concentration on breakthrough curve are studied in details in the column studies

OPTIMUM MANAGEMENT OF GROUNDWATER PUMPING BY USING SIMULATED ANNEALING TECHNIQUE

A two dimensional mathematical model is developed to simulate a groundwater flow regime of the upper part of Quaternary Deposites, in the Teeb area, Missan province. The optimum management of groundwater flow is developed by a linking simulation-optimization model. In this study, MODFLOW, 98 packages are used to simulate the groundwater flow system in unconfined aquifer. This model is integrated with an optimization model (Modular Groundwater optimizer) which is based on the simulated annealying (SA). Fixed well location case was undertaken by running the model with adopted calibrated parameters. The optimum value of pumping rate estimated through this study is (108320 m3/day), this value is compared with another previous work which based on genetic algorithm GA for the same area. The results of comparison showed that the optimum value obtained by SA is higher than the one obtained from GA by 18.35% for the same piezometric head draw down that indicate, the SA gives higher value than GA in this study

Modeling and simulation of an ideal plug flow reactor for synthesis of ethyl oleate using homogeneous acid catalyst

The production of ethyl oleate, by homogenous acid esterification of oleic acid with ethanol, have discussed experimentally and via computational simulation in a plug flow reactor. An innovative simulation model has developed to predict the esterification reaction performance in an ideal plug flow reactor. The amount of H2SO4 acid catalyst, the initial molar ratio of alcohol to oleic acid, ethanol concentration, reaction temperature, and esterification time have examined their effects on ethyl oleate production and the conversion of oleic acid. Then the simulation extended to examine the esterification reaction kinetics and determine the reaction rate coefficients. The simulation results demonstrate that the increasing of H2SO4 acid, initial molar ratio of ethanol to oleic acid, ethanol concentration, and reaction temperature improved the productivity of the ethyl oleate and reduced the reactor space-time. The kinetics results illustrated that the reaction sensitivity to the temperature unchanging by using higher ethanol concentration and alcohol to oleic acid initial ratio. Lastly, the experimental yields at different conditions were slightly higher from those simulating with average values of 93.62 and 92.29%, respectively, indicating that the phenomenon of back-mixing cannot be ignored in esterification reactors, especially with a relatively high retention time within the reactor

Identification of Manning’s Coefficient Using HEC-RAS Model: Upstream Al-Amarah Barrage

In understanding the hydraulic characteristics of river system flow, the hydraulic simulation models are essential tools. This study submits the results of the proposition of a hydraulic model in order to determine the roughness coefficient (Manning’s coefficient n) of the Tigris River along 3.5 km within the Maysan Governorate, south of Iraq. HEC-RAS software was the simulation tool used in this study. The HEC-RAS model was adopted, calibrated, and validated in adopting two sets of observed water levels. Graphical and statistical approaches were used for model calibration and verification. Results from this investigation showed that a value of Manning’s coefficient of 0.025 gave an acceptable agreement between observed and simulated values of water levels

Earthen slope stability using dimensional analysis

Slope stability is an important aspect in the management of civil engineering projects. The stability of earth slopes is a significant concern for safety and the economy. There are several methods for finding the safety factor. Spencer's method is considered one of the most accurate methods for calculating the factor of safety but it depends on the others on dividing the slope geometry into the number of slices with complicated calculations. This paper introduced a new theoretical equation (using dimensional analysis) capable of defining and testing the slope stability of the natural and man-made slope of the earth without complicated calculations. The major and significant variables which affect and contribute to the stability of a slope will be listed and discussed. The Geo-SLOPE and SEEP software were used to present the stability analyses of the earth dam and compare the result. The derived equation shows the excellent relationship between the factor of safety concerning the ratio of internal friction angle over slope angle ∅/α and the hydraulic gradient. The main objective is to set a new rapid method for checking the stability of slopes instead of a complex calculation that can describe the slope stability of the natural earth slope

Precision measurement of the structure of the CMS inner tracking system using nuclear interactions

The structure of the CMS inner tracking system has been studied using nuclear interactions of hadrons striking its material. Data from proton-proton collisions at a center-of-mass energy of 13 TeV recorded in 2015 at the LHC are used to reconstruct millions of secondary vertices from these nuclear interactions. Precise positions of the beam pipe and the inner tracking system elements, such as the pixel detector support tube, and barrel pixel detector inner shield and support rails, are determined using these vertices. These measurements are important for detector simulations, detector upgrades, and to identify any changes in the positions of inactive elements