Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2014.966971
Environmental impact assessment based on group decision-making methods in mining projects
Navid Rikhtegar
Nabiollah Mansouri
Amir Ahadi Oroumieh
Abdolreza Yazdani-Chamzini
Edmundas Kazimieras Zavadskas
Simona Kildienė
Sažetak
Mining operations usually comprise a spread spectrum of environmental challenges, which are often unique to each mine site. This is due to the fact that mining activities, directly or indirectly, have an adverse impact on environment and ecology. For this reason, the environmental impact assessment (EIA) process has been developed
for evaluation of the possible impact of mine development and operations on the environment, including the natural, social and economic aspects. In this article, an EIA methodology based on analytic network process and fuzzy simple additive weight (SAW) is proposed to formulate the environmental risks pertaining to mining
projects. In the system of the proposed model, the importance weights are calculated by an ANP process. Then, fuzzy SAW is employed to evaluate the preference ratings of the alternatives. The merit of using fuzzy logic is to handle the inherent uncertainty in modelling an EIA problem by simplifying the sophisticated structure of the problem under consideration. The proposed model is utilised to assess the environmental impact generated by zinc and lead mining projects located in Zanjan, Iran to shape the future industrial and mining structure of the region. Finally, the environmental impacts are ranked from the most to the least risky.
Ključne riječi
environmental impact assessment (EAI); analytic network process (ANP); MCDM; fuzzy simple additive weight (SAW)
Hrčak ID:
171334
URI
Datum izdavanja:
20.12.2014.
Posjeta: 1.749 *