Optimization of tailings disposal method using fuzzy analytic hierarchy process

Autor:	Saeed Naraghi, Farshad Rashidinejad, Isa Masoumi
Rok vydání:	2019
Předmět:	Mathematical optimization Fuzzy analytic hierarchy process Environmental science 020101 civil engineering 02 engineering and technology 010501 environmental sciences 01 natural sciences Tailings 0201 civil engineering 0105 earth and related environmental sciences Water Science and Technology
Zdroj:	Water Supply. 19:1563-1571
ISSN:	1607-0798 1606-9749
DOI:	10.2166/ws.2019.028
Popis:	Due to the increasing demand for metals, the extractable grade of metal deposits has been decreasing and caused an increase in the amount of tailings. Increase in the volume of tailings requires proper attention to tailings disposal, the establishment of tailings dams, water consumption and prevention of environmental and groundwater pollution. Since tailings disposal consists of many stages such as discharge, thickening technology and location, and transportation, selection of the best disposal method is a complicated task. Nowadays, decision-making methods are widely used and they are very reliable and efficient. Therefore, a model based on fuzzy analytic hierarchy process (AHP) has been developed in this study to optimize tailings disposal method selection. In the model, 21 criteria and a wide range of alternatives have been introduced. The model has been applied to the Sangan Iron Ore Project (SIOP). The concentrator plant of SIOP will produce 75 million tons of tailings during the mine lifetime. Since the current disposal method wastes 1.5 million cubic metres of water annually and the project is located in a dry region, the proposed model has been used to investigate other options and the results show the filtered technique is the best alternative.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9d98f7fbcb365cf7d54e755a11db564f https://doi.org/10.2166/ws.2019.028 Zobrazit plný text záznamu