Güzide Kalyoncu Erguler, Zeynal Abiddin Erguler
Acid mine drainage (AMD) is known as one of the most important environmental problems of sulfide bearing rocks encountered worldwide. Several methods based on static and kinetic principles have been developed for estimation of AMD potential and determination of the contaminants concentration to the environment. Of these methods, kinetic column test is commonly performed due to its better representation of actual field conditions. However, the effect of main controlling factors such as column dimensions, the amount of material and its particle size on the results of kinetic column test were not investigated in detail. Considering the importance of AMD and the limitations in conjunction with these main controlling factors, the objective of this study is to investigate the mechanism of the AMD generation and to perform this test by using samples in varied particle size and columns in different dimensions. For this purpose, columns were designed in various dimensions and samples were collected from Murgul Damar open-pit mining to be used in the kinetic column test. Several techniques were utilized to determine the mineralogical, physical and/or chemical composition of these samples before and during kinetic column tests. The variations of the pH and the concentration release rates of many elements and compounds were monitored during kinetic column tests. Statistically significant correlations were obtained between column dimensions and 'lag time'. Similarly, it is determined that statistically significant correlations exist among column dimensions and cumulative mass release rates of SO4 and the Ca + Mg + Mn.
@article{23948898-4c99-42f1-8d29-8df463795bfb,
title={The effect of column dimensions and particle size on the results of kinetic column test used for acid mine drainage (AMD) prediction},
author={Güzide Kalyoncu Erguler and Zeynal Abiddin Erguler},
year={2013},
language={en}
}TY - JOUR TI - The effect of column dimensions and particle size on the results of kinetic column test used for acid mine drainage (AMD) prediction AU - Güzide Kalyoncu Erguler AU - Zeynal Abiddin Erguler PY - 2013 LA - en ER -
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
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Arthur C. Reardon
This publication, edited by Arthur C. Reardon and published by ASM International®, serves as a comprehensive guide in the field of materials science.
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