S.N. Groudev, M.V. Nicolova
Acid mine drainage waters generated in the uranium deposit Curilo, western Bulgaria, were treated by means of a natural wetland located in the deposit. The waters had a pH in the range of about 2.7 – 4.1 and contained uranium, radium, some heavy metals (iron, manganese, copper, zinc, cadmium, lead), arsenic and sulphates as main pollutants. The water course through the wetland covered a distance of about 140 m and the water flow rate varied in the range of about 0.3 - 1.5 l/s. The wetland was characterized by an abundant water and emergent vegetation and a diverse microflora. The treatment commenced in May 1998 and by April 2001, pollutant concentrations had decreased below relevant permissible levels for agricultural and industrial use. Removal mechanisms included microbial dissimilatory sulphate reduction and biosorption; uranium precipitated as tetravalent compounds, and heavy metals and arsenic were primarily removed as insoluble sulphides. Organic matter and clay minerals played a significant role in adsorbing radium, while plant retention also contributed. Throughout the process, no negative effects on indigenous plant and microbial communities were recorded.
@article{61071b63-9e05-42f7-8cc0-a76e65cef70c,
title={TREATMENT OF ACID MINE DRAINAGE FROM AN URANIUM DEPOSIT BY MEANS OF A NATURAL WETLAND},
author={S.N. Groudev and M.V. Nicolova},
year={2001},
language={en}
}TY - JOUR TI - TREATMENT OF ACID MINE DRAINAGE FROM AN URANIUM DEPOSIT BY MEANS OF A NATURAL WETLAND AU - S.N. Groudev AU - M.V. Nicolova PY - 2001 LA - en ER -
Chiranjib Kumar Gupta
This book provides a comprehensive overview of the field of chemical metallurgy, addressing both common and less common metals. The objective of the v
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
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