Oluranti Agboola, Touhami Mokrani
This study evaluates the performance of two nanofiltration membranes in the separation of ions from acid mine water, with a focus on optimizing treatment processes for contaminated water sources. The objective was to identify the most effective membrane technology for removing ions while addressing the challenges posed by particulate matter and organic substances in acid mine drainage (AMD). A systematic methodology was employed, including the characterization of membranes through various experimental setups designed to simulate real-world conditions typically encountered in AMD treatment. The results indicated significant differences in separation efficiency, with specific membranes achieving enhanced removal rates for both monovalent and divalent ions, significantly reflecting their operational effectiveness. These findings underscore the importance of selecting suitable nanofiltration membranes and pre-treatment techniques to improve overall performance and longevity of the filtration process in real-world applications. The study contributes valuable insights into membrane technology applicability for controlling pollution from mining activities, paving the way for more sustainable management practices in water resources.
@article{b84c2614-73a0-4de4-b565-fa047369da7b,
title={Characterization of Two Nanofiltration Membranes for the Separation of Ions from Acid Mine Water},
author={Oluranti Agboola and Touhami Mokrani},
year={2017},
language={en}
}TY - JOUR TI - Characterization of Two Nanofiltration Membranes for the Separation of Ions from Acid Mine Water AU - Oluranti Agboola AU - Touhami Mokrani PY - 2017 LA - en ER -
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati