Special Issue "Advanced Applications of Electrocoagulation in Water and Wastewater"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".

Deadline for manuscript submissions: 31 August 2020.

Special Issue Editors

Prof. Rafid Alkhadar
Website SciProfiles
Guest Editor
Liverpool John Moores University, U.K.
Interests: water and wastewater treatment; water resources and conservation
Special Issues and Collections in MDPI journals
Dr. Patryk Kot
Website
Guest Editor
Liverpool John Moores University, U.K.
Interests: sensor development; water quality; non-destructive testing
Dr. Khalid Hashim
Website
Guest Editor
Liverpool John Moores University, U.K.
Interests: electrocoagulation applications in water and wastewater treatment; advanced water treatment methods

Special Issue Information

Dear Colleagues,

Advanced Applications of Electrocoagulation in Water and Wastewater (AAEWW) is a Special Issue of Water devoted to the interdisciplinary subject of electrocoagulation and all apsects related to water and wastewater, both theoretical and applied. AAEWW focuses on the publication of both original work and reviews in the field of electrocoagulation treatment. AAEWW provides fast dissemination of original articles, reviews, short communications, and full communications covering the whole field of electrocoagulation applications in water and wastewater. Short communications are limited to a maximum of 21,000 characters (including spaces) whereas full communications are limited to 26,000 characters (including spaces). We aim to be the fastest-published Special Issue in the journal.

AAEWW welcomes the research fields covered by the following areas:

  • Fundamental electrocoagulation,
  • Mechanisms of electrode reaction,
  • Computational and theoretical electrocoagulation,
  • Morphology of electrodes,
  • Green energy and electrocoagulation,
  • Interference between pollutants,
  • Combining electrocoagulation with other technologies, and
  • Application of sensors in electrocoagulation.

The editors would like to draw particular attention to the quality and the scientific content of submissions. Papers must be presented in a way that is accessible to the readers. The presentation and discussion must be at a level that meets the global status of Water.

The AAEWW will not publish papers that have been partially or completely published in other journals, or papers that plagiarize other works. All submitted papers are screened for similarity with published works. High similarity will result in rejection without review.

Prof. Rafid Alkhadar
Dr. Patryk Kot
Dr. Khalid Hashim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electrocoagulation
  • water
  • wastewater
  • sensors

Published Papers (4 papers)

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Research

Open AccessArticle
Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study
Water 2020, 12(7), 1885; https://doi.org/10.3390/w12071885 - 01 Jul 2020
Cited by 11
Abstract
The proper management of a municipal water system is essential to sustain cities and support the water security of societies. Urban water estimating has always been a challenging task for managers of water utilities and policymakers. This paper applies a novel methodology that [...] Read more.
The proper management of a municipal water system is essential to sustain cities and support the water security of societies. Urban water estimating has always been a challenging task for managers of water utilities and policymakers. This paper applies a novel methodology that includes data pre-processing and an Artificial Neural Network (ANN) optimized with the Backtracking Search Algorithm (BSA-ANN) to estimate monthly water demand in relation to previous water consumption. Historical data of monthly water consumption in the Gauteng Province, South Africa, for the period 2007–2016, were selected for the creation and evaluation of the methodology. Data pre-processing techniques played a crucial role in the enhancing of the quality of the data before creating the prediction model. The BSA-ANN model yielded the best result with a root mean square error and a coefficient of efficiency of 0.0099 mega liters and 0.979, respectively. Moreover, it proved more efficient and reliable than the Crow Search Algorithm (CSA-ANN), based on the scale of error. Overall, this paper presents a new application for the hybrid model BSA-ANN that can be successfully used to predict water demand with high accuracy, in a city that heavily suffers from the impact of climate change and population growth. Full article
(This article belongs to the Special Issue Advanced Applications of Electrocoagulation in Water and Wastewater)
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Open AccessArticle
Optimization of Electrocoagulation Conditions for the Purification of Table Olive Debittering Wastewater Using Response Surface Methodology
Water 2020, 12(6), 1687; https://doi.org/10.3390/w12061687 - 12 Jun 2020
Abstract
In the present study, the optimization of electrocoagulation (EC) conditions for the purification of olive debittering wastewater (ODW) was investigated by response surface methodology (RSM). For this purpose, a central composite design (CCD) was employed to optimize the process variables including current density [...] Read more.
In the present study, the optimization of electrocoagulation (EC) conditions for the purification of olive debittering wastewater (ODW) was investigated by response surface methodology (RSM). For this purpose, a central composite design (CCD) was employed to optimize the process variables including current density (3.0–30.0 mA/cm2) and EC time (10.0–60.0 min). The results showed a significant effect of current density and EC time on the removal efficiency of total phenolic compounds (TPC) and chemical oxygen demand (COD). The best models obtained using the central composite design were quadratic polynomial for TPC (R2 = 0.993), COD (R2 = 0.982), and the inverse square root of turbidity (R2 = 0.926). Additionally, the square root of electrode consumption and energy consumption were appropriately fitted to the two-factor interaction (2FI) model (R2 = 0.977) and quadratic polynomial (R2 = 0.966) model, respectively. The predicted optimum conditions based on the highest removal efficiency for TPC were a current density of 21.1 mA cm−2 and an EC time of 58.9 min, in which the obtained model predicted 82.6% removal for TPC. This prediction was in agreement with the laboratory result (83.5%). The amount of energy consumption and the operating cost in these conditions was estimated to be 14.92 kWh and USD 6.49 m−3 per ODW, respectively. Full article
(This article belongs to the Special Issue Advanced Applications of Electrocoagulation in Water and Wastewater)
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Open AccessArticle
A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach
Water 2020, 12(6), 1628; https://doi.org/10.3390/w12061628 - 06 Jun 2020
Cited by 13
Abstract
Accurate and reliable urban water demand prediction is imperative for providing the basis to design, operate, and manage water system, especially under the scarcity of the natural water resources. A new methodology combining discrete wavelet transform (DWT) with an adaptive neuro-fuzzy inference system [...] Read more.
Accurate and reliable urban water demand prediction is imperative for providing the basis to design, operate, and manage water system, especially under the scarcity of the natural water resources. A new methodology combining discrete wavelet transform (DWT) with an adaptive neuro-fuzzy inference system (ANFIS) is proposed to predict monthly urban water demand based on several intervals of historical water consumption. This ANFIS model is evaluated against a hybrid crow search algorithm and artificial neural network (CSA-ANN), since these methods have been successfully used recently to tackle a range of engineering optimization problems. The study outcomes reveal that (1) data preprocessing is essential for denoising raw time series and choosing the model inputs to render the highest model performance; (2) both methodologies, ANFIS and CSA-ANN, are statistically equivalent and capable of accurately predicting monthly urban water demand with high accuracy based on several statistical metric measures such as coefficient of efficiency (0.974, 0.971, respectively). This study could help policymakers to manage extensions of urban water system in response to the increasing demand with low risk related to a decision. Full article
(This article belongs to the Special Issue Advanced Applications of Electrocoagulation in Water and Wastewater)
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Open AccessArticle
Chromium Removal from Tannery Wastewater by Electrocoagulation: Optimization and Sludge Characterization
Water 2020, 12(5), 1374; https://doi.org/10.3390/w12051374 - 13 May 2020
Cited by 2
Abstract
The treatment of tannery effluent is of great interest as it contains a complex mixture of pollutants, primarily chromium. The disposal of this wastewater can have adverse effects on the environment and aquatic life, which is an emerging problem for the environment. In [...] Read more.
The treatment of tannery effluent is of great interest as it contains a complex mixture of pollutants, primarily chromium. The disposal of this wastewater can have adverse effects on the environment and aquatic life, which is an emerging problem for the environment. In this work, electrocoagulation is used to remove chromium from real tannery wastewater, focusing on performance optimization and sludge characterization. Electrocoagulation experiments were conducted using an electrochemical cell with iron electrodes immersed in a specific volume of tannery wastewater. Operating parameters, such as the initial chromium concentration, pH and current density as well as power consumption were evaluated to determine optimum chromium removal. The optimization was performed using Response Surface Methodology combined with central composite design. Analysis of variance (ANOVA) was used to determine the response, residual, probability, 3D surface and contour plots. The maximum chromium removal was 100% at the optimum values of 13 mA/cm2, 7 and 750 ppm for current density, pH and concentration, respectively. Full article
(This article belongs to the Special Issue Advanced Applications of Electrocoagulation in Water and Wastewater)
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