Removal of <scp>E133</scp> brilliant blue dye from artificial wastewater by electrocoagulation using cans waste as electrodes

Rasha H. Salman; Entisar M. Khudhair; Khalid M. Abed; Ammar S. Abbas

doi:10.1002/ep.14292

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Publication Date

Wed Oct 04 2023

Journal Name

Environmental Progress & Sustainable Energy

DOI

10.1002/ep.14292

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Removal of <scp>E133</scp> brilliant blue dye from artificial wastewater by electrocoagulation using cans waste as electrodes

adsorption

aluminum

dye

electrochemical treatment

wastewater

Rasha H. Salman

Entisar M. Khudhair

Khalid M. Abed

Ammar S. Abbas

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AbstractSolid‐waste management, particularly of aluminum (Al), is a challenge that is being confronted around the world. Therefore, it is valuable to explore methods that can minimize the exploitation of natural assets, such as recycling. In this study, using hazardous Al waste as the main electrodes in the electrocoagulation (EC) process for dye removal from wastewater was discussed. The EC process is considered to be one of the most efficient, promising, and cost‐effective ways of handling various toxic effluents. The effect of current density (10, 20, and 30 mA/cm2), electrolyte concentration (1 and 2 g/L), and initial concentration of Brilliant Blue dye (15 and 30 mg/L) on the efficiency of the EC process were examined in this study. The results show that removal efficiency increased with current density and sodium chloride (NaCl) concentration and decreased with initial dye concentration. The electrical power and electrodes consumed increased with an increase in current density and decreased notably with increased NaCl. The optimum current density and amount of NaCl were 20 mA/cm2 and 2 g/L, respectively to attain highest values of E133 brilliant blue dye removal. The EC process was examined using adsorption isotherms and kinetics models. Those results showed that the Langmuir isotherm matched the experimental data. Furthermore, the experimental data were followed the Elovich model kinetics.

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Publication Date

Thu Jan 03 2019

Journal Name

International Journal Of Civil Engineering And Technology (ijciet)

Condition Prediction Models of Deteriorated Trunk Sewer Using Multinomial Logistic Regression and Artificial Neural Network

condition prediction

trunk sewer deterioration

multinomial logistic regression

artificial neural network.

Basim H.

Ghassan Khalaf

Rehab Karim

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Sewer systems are used to convey sewage and/or storm water to sewage treatment plants for disposal by a network of buried sewer pipes, gutters, manholes and pits. Unfortunately, the sewer pipe deteriorates with time leading to the collapsing of the pipe with traffic disruption or clogging of the pipe causing flooding and environmental pollution. Thus, the management and maintenance of the buried pipes are important tasks that require information about the changes of the current and future sewer pipes conditions. In this research, the study was carried on in Baghdad, Iraq and two deteriorations model's multinomial logistic regression and neural network deterioration model NNDM are used to predict sewers future conditions. The results of the

Publication Date

Tue Nov 09 2021

Journal Name

Abu Dhabi International Petroleum Exhibition & Conference

Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field

evolutionary algorithm

gas lift

artificial intelligence

upstream oil & gas

machine learning

optimization problem

correlation

presented

allocation

reservoir pressure

Mohammed Ahmed

Omar F.

Dhifaf Jaafar

Haider Abdulmuhsin

Mustafa Alaulddin

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AbstractArtificial lift techniques are a highly effective solution to aid the deterioration of the production especially for mature oil fields, gas lift is one of the oldest and most applied artificial lift methods especially for large oil fields, the gas that is required for injection is quite scarce and expensive resource, optimally allocating the injection rate in each well is a high importance task and not easily applicable. Conventional methods faced some major problems in solving this problem in a network with large number of wells, multi-constrains, multi-objectives, and limited amount of gas. This paper focuses on utilizing the Genetic Algorithm (GA) as a gas lift optimization algorit ... Show More

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Publication Date

Thu Oct 01 2020

Journal Name

Journal Of Engineering Science And Technology

Water quality assessment and sodium adsorption ratio prediction of Tigris River using artificial neural network

Raghad

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Publication Date

Sat Mar 01 2014

Journal Name

Renewable And Sustainable Energy Reviews

Review on the development of natural dye photosensitizer for dye-sensitized solar cells

A.M. Al-Alwani Mahmoud

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Publication Date

Wed Dec 13 2017

Journal Name

Al-khwarizmi Engineering Journal

Using Activated Carbon developed from Iraqi Date Palm Seeds as Permeable Reactive Barrier for Remediation of Groundwater Contaminated with Copper

date palm seeds

activated carbon

Copper

Permeable reactive barrier

Groundwater

Transport

Ziad T.

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The possibility of using activated carbon developed from date palm seeds wastes as a permeable reactive barrier (PRB) to remove copper from polluted shallow groundwater was investigated. The activated carbon has been developed from date palm seeds by dehydrating methods using concentrated sulfuric acid. Batch tests were performed to characterize the equilibrium sorption properties of new activated carbon in copper-containing aqueous solutions, while the sandy soil (aquifer) was assumed to be inert. Under the studied conditions, the Langmuir isotherm model gives a better fit for the sorption data of copper by activated carbon than other models. At a pilot scale, One-dimensional column experiments were performed, and an integrated model ba

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Publication Date

Mon Feb 25 2019

Journal Name

Iraqi Journal Of Physics

Influence of electrodes area ratios and the discharge volume in RF capacitively coupled plasma

plasma

DC bias

Distortion.

Moyad Abdullah

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Experimental results on harmonic distortions in 13.56 MHz RF Argon glow discharge using different grounded electrodes areas and electrodes spacing are presented. The experiment is carried out at four pressure values. RF power values used are between 20 and 90 watts. The results indicate significant increase in distortions at two specific values of the cone angle enclosing the two electrodes within its geometrical volume. The computation of the cone head angle gave the symmetry discharge or asymmetry as well as when the angle is small the condition is near symmetry discharge associated with decrease in the nonlinearity.

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Publication Date

Thu Mar 30 2017

Journal Name

Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)

Genetic Variations of Echinococcus granulosus Isolated from Sheep and Cows by Using Fingerprint DNA Method in Iraq

Zaman

Salwa

Farhan

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The fingerprinting DNA method which depends on the unique pattern in this study was employed to detect the hydatid cyst of Echinococcus granulosus and to determine the genetic variation among their strains in different intermediate hosts (cows and sheep). The unique pattern represents the number of amplified bands and their molecular weights with specialized sequences to one sample which different from the other samples. Five hydatitd cysts samples from cows and sheep were collected, genetic analysis for isolated DNA was done using PCR technique and Random Amplified Polymorphic DNA reaction(RAPD) depending on (4) random primers, and the results showed:

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(1)

Publication Date

Tue Nov 01 2022

Journal Name

Heliyon

Removal of copper by Azolla filiculoides and Lemna minor: phytoremediation potential, adsorption kinetics and isotherms

Safaa

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Publication Date

Mon Jan 01 2024

Journal Name

Journal Of Industrial And Engineering Chemistry

Petroleum refinery wastewater treatment using a novel combined electro-Fenton and photocatalytic process

Marwa M.

huda

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(31)

(27)

Publication Date

Fri Jan 01 2021

Journal Name

Materials Today: Proceedings

Pyrolysis of scrap tire by utilizing zeolite as catalyst

Ghassan Hassan Abdul

Najwa Sabir

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(10)

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