Designing of an environmental assessment algorithm for surface mining projects

Mirmohammadi, M., Gholamnejad, J., Fattahpour, V. , Seyedsadri, P. and Ghorbani, Yousef (2009) Designing of an environmental assessment algorithm for surface mining projects. Journal of Environmental Management, 90 (8). pp. 2422-2435. ISSN 0301-4797

Full content URL:

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive


This paper depicts the method used to quantify the environmental impact of mining activities in surface mine projects. The affected environment was broken down into thirteen components, such as Human health and immunity, Surface water, Air quality, etc. The effect of twenty impacting factors from the mining and milling activities was then calculated for each Environmental Component. Environmental assessments are often performed by using matrix methods in which one dimension of the matrix is the "Impacting Factor" and the other one is the "Environmental Components". For the presented matrix method, each Impacting Factor was first given a magnitude between -10 and 10. These factors are used to set up a matrix named Impacting Factor Matrix, whose elements represent the Impacting Factor values. The effects of each Impacting Factor on each Environmental Component were then quantified by multiplying the Impacting Factor Matrix by Weighting Factor Matrix. The elements of the weighting factors matrix reflect the effects of each Impacting Factor on each Environmental Component. The outlined method was originally developed for a mining and milling operation in Iran, but it can successfully be used for mining ventures and more general industrial activities in other countries in accordance to their environmental regulations and laws. © 2008 Elsevier Ltd. All rights reserved.

Keywords:ground water, surface water, environmental impact assessment, environmental legislation, health impact, matrix, methodology, mining, regulatory framework, air pollution, air quality, algorithm, article, cultural factor, employment, environmental impact assessment, Iran, law, mine tailings, noise pollution, population dynamics, quantitative analysis, social evolution, surface mining, waste water, Algorithms, Environmental Monitoring
Subjects:F Physical Sciences > F110 Applied Chemistry
F Physical Sciences > F100 Chemistry
Divisions:College of Science
College of Science > School of Chemistry
Related URLs:
ID Code:54555
Deposited On:27 Jun 2023 11:01

Repository Staff Only: item control page