PDF

Cyanide Remediation: Current and Past Technologies

C.A. Young, T.S. Jordan

1988encyanideremediationenvironmentaloxidationmetaltechnologymetallurgy

Abstract

Language:

Cyanide (CN -) is a toxic species predominantly found in industrial effluents generated by metallurgical operations, necessitating thorough remediation strategies. This study aims to review various cyanide remediation technologies, focusing on their effectiveness for different cyanide species, including free cyanide, thiocyanate, weak-acid dissociables, and strong-acid dissociables. Methodologically, an extensive literature review was conducted to compare known separation and oxidation techniques for cyanide remediation, with a focus on their reaction mechanisms. Results indicate that while the existing technologies are generally environmentally sound, specific measures must be adopted to prevent accidental spills that could contaminate water sources and soils. The efficacy of these remediation methods varies according to the type of cyanide species being treated, highlighting the importance of selecting appropriate technologies for different circumstances. This review underscores the critical nature of addressing cyanide pollution in industrial operations to safeguard environmental and public health.

Download

Cite This Work

@article{4f8f585d-f5af-4f9f-bf31-0eecb6c9c577,
  title={Cyanide Remediation: Current and Past Technologies},
  author={C.A. Young and T.S. Jordan},
  year={1988},
  language={en}
}
TY  - JOUR
TI  - Cyanide Remediation: Current and Past Technologies
AU  - C.A. Young
AU  - T.S. Jordan
PY  - 1988
LA  - en
ER  -

Similar Items

Metallurgical Plant Design and Operating Strategies

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

2006enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

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

2022enPDF

Metallurgical Plant Design and Operating Strategies

David Pollard, Geoff Dunlop

The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati

2008enPDF

Metallurgical Plant Design and Operating Strategies

P Card, J Canterford

This document presents a collection of papers from the METPLANT 2011 conference focusing on metallurgical plant design and operating strategies. The o

2011enPDF

Plant auditing: a powerful tool for improving metallurgical plant performance

Deepak Malhotra

This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id

2015enPDF

The Nature of Solid Iron and Its Grain Structure

Unknown, Unknown

This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand

2023enPDF