Next Article in Journal
Coil Design for High Misalignment Tolerant Inductive Power Transfer System for EV Charging
Next Article in Special Issue
Application of Project Management Process on Environmental Management System Improvement in Mining-Energy Complexes
Previous Article in Journal
Analysis and Design of an Active Stabilizer for a Boost Power Converter System
Previous Article in Special Issue
The Development of Dewatering Predictions of the Velenje Coalmine
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Energies 2016, 9(11), 935; doi:10.3390/en9110935

Application of a Method for Intelligent Multi-Criteria Analysis of the Environmental Impact of Tailing Ponds in Northern Kosovo and Metohija

1
Faculty of Techinal Sciences, University of Pristina, 38220 Kosovska Mitrovica, Serbia
2
Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia
3
Faculty of Forestry, University of Belgrade, 11030 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Academic Editor: Enrico Sciubba
Received: 27 May 2016 / Revised: 31 October 2016 / Accepted: 3 November 2016 / Published: 10 November 2016
View Full-Text   |   Download PDF [1663 KB, uploaded 10 November 2016]   |  

Abstract

The technological process of exploitation of mineral resources and processing of mined ores to cater to the market results, among other things, in a large amount of tailings deposed on tailing ponds. Because of the chemical composition of the material, the increasing amount of waste, and the mismanagement of recovery and reclamation of ponds, these ponds have become a significant element of negative impact on the surrounding ecosystem. Economics was behind the discharging of this material, resulting in tailing ponds created in inappropriate areas. There is an ongoing process of depositing tailings on old tailing ponds, although no special attention has been paid to the subsequent effect on the environment. Application of intelligent multi-criteria analysis AHP and PROMETHEE has been performed in this paper for the purpose of ranking the degree of negative impact on the environment of tailing ponds. Analysis is performed for five tailing ponds of MMCC (Mining Metallurgy Chemical Combine) “Trepča”, whereby two of the ponds are active and three inactive. The ponds are in relatively close proximity to the municipalities of Zvečan and Kosovska Mitrovica, to the north of Kosovo and Metohija, Republic of Serbia. In order to achieve the most objective results, the AHP and PROMETHEE methods were applied. By using these methods for calculations, the following ranking for the flotation tailing waste deposits was obtained, regarding their environmental impact: Žitkovac, Tvrđanski Do, Bostanište, Gornje Polje and Žarkov Potok. This result can contribute to the decision-making process of a prioritizing strategy for rehabilitation and remediation of these five flotation tailings. The analysis illustrates that application of intelligent multi-criteria analysis is a useful environmental management tool to be included in the decision-making process. View Full-Text
Keywords: tailing pond; environment; multi-criteria analysis; ecology; Trepča tailing pond; environment; multi-criteria analysis; ecology; Trepča
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Milentijević, G.; Nedeljković, B.; Lekić, M.; Nikić, Z.; Ristović, I.; Djokić, J. Application of a Method for Intelligent Multi-Criteria Analysis of the Environmental Impact of Tailing Ponds in Northern Kosovo and Metohija. Energies 2016, 9, 935.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top