An In- Depth Investigation of the Emerging Role of Electrocoagulation in Cutting Edge Wastewater Treatment Practices
Abstract
Electrocoagulation (EC) has emerged
as a promising and sustainable technology for
the treatment of various water sources
contaminated with diverse pollutants. This
electrochemical process entails administering an
electrical current to destabilize and remove
contaminants through coagulation and
precipitation mechanisms. The efficiency and
versatility of EC make it a viable solution for
addressing challenges related to wastewater
treatment, industrial effluent remediation, and
potable water production. The utilization of
wastewater as an alternative water source is
gaining prominence due to the combined
pressures of rapid population expansion,
heightened freshwater demand, climate change,
and freshwater resource degradation.
Urbanization and industrialization have led to a
surge in wastewater production and
diversification. Wastewaters contain an
extensive range of organic and inorganic
pollutants, necessitating a variety of wastewater
treatment technologies for their effective
removal. Electrocoagulation (EC) is a versatile,
dependable, and affordable wastewater
treatment technology with high efficiency in
removing pollutants, as well as low sludge
production compared to other methods. EC can
effectively remove a wide range of pollutants
from wastewater, containing suspended solids,
dissolved solids, heavy metals, oil and grease,
and organic matter which does not necessitate
the use of harsh chemicals, which reduces the
risk of environmental damage.
Keywords:
Electrocoagulation, waste – water, Electrodes, Effect of parametersPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Muhammed Saalim O.S, Fathima Parvin M.A, Albiya Hameed, Hiba Fathima T.S, Amritha Soloman, AGRISEN Precise irrigation System and Smart health monitoring system , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aaron Samuel Mathew, Green Cloud Computing: A Literature Survey , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr nitha C Vellayudan, Akshay K.P, Muhamed Adhil P.M, C.A Sivasankar , Crop Yield and Price Prediction , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jose P Pittappillil, Midhun Mohan, Nimisha Nigel, Nitin Sunil Thomas, Driving Agricultural Innovation: A Review of Technological Advancements in Smart Farming , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Manju Susan Thomas, Juby Mathew, The Integration of Trustworthy AI Values: A Comprehensive Model for Governance, Risk, and Compliance in Audit Architecture Framework context , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- C P Athira, Fathima Sithara P.A, HAND GESTURE BASED HOME AUTOMATION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- S Adithyakrishnan, U Anjukrishna, Rohith Manuel Philip, P Careena, A Comprehensive Review on Diagnosis and Classification of Various Respiratory Diseases , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anishamol Abraham, Niya Joseph, State-of-the-Art Techniques for Image Forgery Detection: A Review , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Kaveri S, Pooja Satheesh, Kesiya Susan John, Reubel K Wilson, Dr. Jacob John, Predictive Maintenance of Machines Using IoT and Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Devika R Nilackal, Resmara S, Greeshma R, Griesh R, Joice P Abraham, Najma Najeeb, Shehanas K Salim, CARDAMOM PLANT DISEASE DETECTION USING ROBOT , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.