Environmental impact assessment of open pit mining in Iran

Monjezi, Masoud; Shahriar, K.; Dehghani, Hesam; Namin, Farhad Samimi

doi:10.1007/s00254-008-1509-4

Cited by 111 publications

(53 citation statements)

References 32 publications

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“…Mining exploitation has been recognized as a major contributor to geo-environmental impacts, including geological disasters, environmental contamination, and resource destruction (Monjezi et al 2009;Zhang et al 2012;Lukichev and Nagovitsin 2013). Environmental impact assessment (EIA) is considered an effective means of promoting the integration of environmental protection and natural resources exploitation in planning and program implementation (Mirmohammadi et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Geo-environmental impact assessment and management information system for the mining area, Northeast China

Zhang

Guo

et al. 2015

Environ Earth Sci

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The reliability and validity of mining geo-environmental impact assessment strongly depend on the availability of large volumes of high-quality investigation data and an effective evaluation methodology. Combining all the data in a coherent and logical structure supported by a computing environment helps ensure validity and availability. The study's main objectives were twofold: environmental impact assessment and the development of a managing software tool. The study identifies geo-environmental impacting factors with a relational map, evaluates geo-environmental impact degrees with a comprehensive environmental impact assessment index calculated by the Takagi-Sugeno fuzzy neural network (TSFNN) model, and classifies assessment results into three categories: slight, moderate, and heavy. Furthermore, a routine management system was developed for mining geo-environmental information managers and officials based on a client/server model and component-based Geographic Information System (GIS) secondary development technology. The system has five main capabilities: mine enterprise and geoenvironment information management, GIS map display and analysis, data querying and statistical analysis, geoenvironmental impact assessment and classification, and document query and management. To verify the software's performance, Changchun-Jilin-Tumen Economic Area in Jilin Province, Northeast China was selected for application. As validation, 96.23 % of TSFNN model evaluation results are the same as those of the Improved Analytic Hierarchy Process (IAHP) model. The results indicate that 64.15 % of the study area mine sites are moderately damaged and 7.5 % heavily damaged. The software provides an effective tool for geo-environmental information managers and can be applied by local governments for geoenvironmental impact assessment and to design sustainable development guidelines for the mining area.

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Section: Introductionmentioning

confidence: 99%

Geo-environmental impact assessment and management information system for the mining area, Northeast China

Zhang

Guo

et al. 2015

Environ Earth Sci

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“…Mine waste is a multifaceted and major environmental problem that is well recognized as having tremendous impact globally (e.g., Monjezi et al 2009;Antunes et al 2008;Krekeler et al 2008;Marescotti et al 2008;Pereira et al 2008;Hancock and Turley 2006;Brown 2005;Younger et al 2005;Hamilton 2000;Pain et al 1998). One approach to lessen the environmental impact of mine waste is to recycle the waste (e.g., Driussi and Jansz 2006;Brunori et al 2005;Ritcey 2005;Yoo et al 2005;Siriwardane et al 2003;Marabini et al 1998;Smith and Williams 1996a, b).…”

Section: Introductionmentioning

confidence: 97%

An investigation of aspects of mine waste from a kyanite mine, Central Virginia, USA

et al. 2009

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Kyanite Mining Corporation, located in Dillwyn, Virginia has been in operation for over 50 years and their local operation is the largest kyanite mine in the world. As part of the processing at this location, a magnetic separate is generated and a minimum estimation of 3.57 million tons of waste has accumulated. Currently no use for the magnetic separate has been identified. We investigated eight representative samples of the magnetic mine waste which varied in color from a dark tan to black, to determine if the waste could be recycled as an ore or could be used as an environmental media. Mineralogical investigations indicate the composition of the magnetic mine waste is dominated by magnetite, kyanite, lesser amounts of hematite and charcoal. Magnetite occurs as fine grained crystals and as inclusions in kyanite. Hematite occurs largely as botryoidal textures, as discrete grains, and as coatings on kyanite grains. Fe-oxide spheres ranging in diameter from approximately 5-100 lm are common and may compose up to 10% in some samples. Titanium dioxide was rarely observed as coatings on silicate mineral grains. Energy dispersive spectroscopy analysis on magnetite crystals indicates they have end-member compositions. Bulk property investigations indicate that grain size distributions of samples are primarily unimodal with 20-40% of material being between 0.600 and 0.250 mm.Hydraulic conductivity values of samples investigated vary between 0.0036 and 0.0077 cm/s and are broadly consistent with those expected of sands with similar grain size distributions. In addition to the magnetic waste stream a light blue, water soluble, amorphous Cu sulfate occurs as a coating on surfaces of boulders. The coating is composed of rounded interlocking particles 5-60 lm in diameter. This material is of some environmental concern for freshwater invertebrates, but can be managed using sorption media. Hyperspectral data were gathered of the magnetic separate, kyanite ore samples, and the light blue Cu sulfate. The signatures of the kyanite ore, the blue mineral coating, and a mixture of the two provide spectral fingerprints that an imaging spectrometer could exploit for rapid detection and subsequent environmental monitoring.

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“…Decisionmaking practices carried out at large spatial scales such as ecological restoration of mining areas (Monjezi et al 2009;Masoumi et al 2014), agricultural non-point source pollution control (Zhang et al 2004), ecological restoration of rivers (Ni and Liu 2006;Yu et al 2013), land use and development (Nourqolipour et al 2015), landfill site selection (Liu et al 2014), and prevention and remediation of groundwater contamination (Wang 2006;Janza 2015) have shown an increasing trend. It has been realized that DSS could play an important role in this context by generating information immediately accessible to all actors in a straightforward way (Bazzani 2005).…”

Section: Introductionmentioning

confidence: 99%

Combining scenario-based multi-objective optimized decision-making with a spatial division strategy: a case study of Yongding River, Beijing, China

Wang

2015

Environ Earth Sci

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To solve the problems that usually arise in large-scale space-optimized decision-making, such as complexity, multiple objectives, difficulties in process quantification, and time-consuming computation, this paper proposes a scenario-based, multi-objective, spatially optimized decision-making method. In line with the principle of first optimizing through spatial division into levels, and then optimizing by integration, the object of decision-making was divided in space according to its spatial characteristics. By comprehensively accounting for the general and specific conditions of the different spatial divisions that were thus created-such as decision-making objectives, global decision-making variables, local decision-making variables, global constraints, and local constraints-a framework for multi-objective spatially optimized decision-making was constructed. Specifically, both the global generality and local individuality of the object of decision-making can be taken into account through spatial division. Thus, the goal of progression from the local optimum to the global optimum can be reached. This framework was then applied to ecological restoration of the Yongding River in Beijing, China. The application indicated that the proposed approach and procedure adopted in this study are rational, feasible, and practical, showing that there existed a significant difference of the total numbers of the scenario decision-making schemes between the two cases (with and without applying the proposed framework) and considerably improving the efficiency of large-scale decision-making practices.

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Environmental impact assessment of open pit mining in Iran

Cited by 111 publications

References 32 publications

Geo-environmental impact assessment and management information system for the mining area, Northeast China

Geo-environmental impact assessment and management information system for the mining area, Northeast China

An investigation of aspects of mine waste from a kyanite mine, Central Virginia, USA

Combining scenario-based multi-objective optimized decision-making with a spatial division strategy: a case study of Yongding River, Beijing, China

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