This study examines the potentiality of quarry rehabilitation of Gol-e-Gohar in Sirjan and converting it into a tourist attraction and recreational place. Therefore، sampling of water، soil and air was done. By designing via Gemcom software and calculating the volume and the area of the quarry at the end of mining، and water inlet flow rate and moving water into the pit for several years، the pit has been turned into a lake. By planting trees and plants on the steps that are above the static water surface، the landscape will be changed and the pit is converted into a beautiful surrounding. According to the sampling of water containing electrical conductivity and high salinity and soil of the quarry which has low nutrients، Tamarisk and Palm trees were selected for planting in the mine، due to shortage of suitable water and soil.

The study area is a part of the Sanandaj-Sirjan zone which is mainly composed of metamorphic rocks, a variety of igneous basic rocks and sediments. the metamorphic rocks studied at Bahram Gur area (west of Kheyrabad, Northwestern of Gol-e Gohar mine) in Sirjan, Kerman Province are slate, phyllite, schist (garnet schist, amphibole schist, micaschist, kyanite schists), epidote amphibolite, amphibolite, gneiss, quartzite and marble. Amphibolite facies is the highest metamorphic grade in the region experienced by the rocks. Protolith of amphibolites is basic to intermediate igneous rocks with chemical composition of tholeiitic to calc-alkaline. . Based on Zr / P2O5 against Nb / Y diagram amphibolite protolith is from oceanic crust. Based on Ti against V diagram, amphibolites of the study area belong to mid-ocean ridges (MOR) and Volcanic arc tectonic environments in relation to Neotethys ocean. Primary magma of igneous rocks that are protholite amphibolite is derived from the spinel-peridotite. The negative anomaly of Nb and low Nb/U ratio indicates the contamination of this magma during rising.

Trucks are the main hauling machinery in open pit mines. High capital and operational cost requires accurate management and high efficiency of this equipment, this circumstance depends on the accurate understanding of the system and its behavior in different operating conditions. “Importance measure” approach is one of the useful methods that prioritizes system or implement it from different perspectives such as up and down time aiding the engineers for better decision making about management and resource allocating. Reliability, availability and maintainability (RAM) importance measure are combination of system behavior and importance, that by analyzing up and down time prioritizes and detection bottleneck of system. In this paper, a comprehensive approach based on availability importance measure for increase performance of a truck from Golgohar mine has been suggested. In this truck, transmission and body subsystem are identified as most and least important subsystem from availability point of view respectively. Also, transmission maintainability has major contribution for increasing system availability.

One important goal in the interpretation of magnetic data is to determine the type and location of the magnetic source. This has recently become particularly important due to the acquisition of large volumes of magnetic data both in environmental and geological applications. Interpretation of the magnetic data involves determining the parameters that characterize the source of the observed anomaly. In this regard, depth to the top of the source is the most important parameter. To this end, there are generally two different approaches, namely the manual and automatic methods. Manual methods, as implied in the name need simple tools such as rulers, calculators and are commonly used in processing 2-D datasets or profiles. Additionally, these methods can be performed in the field, allowing the user to distinguish the noises from signals without recourse to the computer (due to their simplicity). However, because of the large amount of magnetic data that are being collected in the field of geology, using of more rapid and powerful methods are necessary. In contrast to manual methods, automatic methods have the ability to perform in both 2-D and 3-D datasets more rapidly and with at least as much precision. A large number of automatic methods exist for interpreting magnetic data. These methods can be applied to profile data (Hartman, 1971; Naudy, 1971; Nabighian, 1972; Jian, 1976; Thompson, 1982; Atchuta Rao et al.). There are numerous methods that work on grided data, including 3-D Euler deconvolution (Reid et al., 1990), the 3-D analytic signal (Roest et al., 1992) and the enhanced analytic signal technique (Hsu et al., 1996). The results of these methods are usually displayed by plotting a symbol superimposed in the magnetic map in the source location. Consequently, the source boundary (horizontal location) must be evaluated by common edge detection methods, namely, zero crossing of the second-order vertical derivative or maximum value of the analytic signal prior to running a depth estimation method. In general, all automatic methods use derivatives of the magnetic data which is computed either in the space domain by the finite difference method or in the frequency domain by the Fast Fourier (FF) technique. Then, an appropriate equation is developed for depth estimation starting from a simple geometry model, such as sphere, dyke, or horizontal cylinder. The depth to top of the body measure is assessed by solving this equation either in the space or frequency domain. The proposed method extends the theory of the complex analytic signal by computing three complex attributes including instantaneous amplitude of the analytic signal, instantaneous phase and instantaneous frequency. It must be noted that the instantaneous concept is applied in the analysis of the temporal series (time dependent dataset) and because the magnetic data are spatial, analogous to temporal, we use the term local instead of instantaneous. These three quantities are obtained as shown below: (1) (2) (3) where, A, and f are amplitude, phase and frequency, respectively. Phase variation of potential field data can be used as an interpretation method. This idea appears in edge detection with tilt angle or phase angle. The advantages using of this quantity include its independence of body magnetization direction and its ease of computation. In this paper variations of this quantity, termed local frequency, are used for source parameter estimation, such as body depth and susceptibility. This method has been applied on the synthetic magnetic data from a vertical cylinder in both noiseless and noisy data. The presence of the noise causes the estimated depth to differ from the actual body depth; therefore, in practice, the noise should be removed by the upward continuation technique. This method was also applied on real magnetic data from Anomaly No.2 in the Gol-Gohar mining area. In order to remove the superficial noise, the magnetic anomaly was continued to 12.5m elevation. Using this method, it was found that causative body depth varies from 40 to 120 meters in different locations, which has broad correlation with explorative drilling results.

Mine working environment has been considered one of the most high risk environments. 85 per cent of the work accidents are attributable to unsafe working conditions. 85 to 95 per cent of these accidents are attributed to attitudes، culture and behaviour. The safety climate is a multi-faceted construct which shows the individuals’ attitudes towards and priority they set upon the safety in working environment. Measuring safety climate provides a glimpse of safety condition in an organization in a given time. The present research is an attempt to study safety climate and its structural aspects in Gol gohar mine complex in Sirjan، Iran. The cross-sectional and descriptive-analytical research has been carried out during the winter of 2012on 534 workers in the Sirjan Gol Gol gohar mining and industrial company as subjects. The safety climate questionnaire has been used to measure the safety climate. The findings indicate that production pressure with the score of 5. 38 was the least effective factor، and training with the score of 7. 70 was the most effective factor. The total score of safety climate has been calculated in a 1 to10 scale for the 6. 35 score location. The safety climate of the mine has been shown to be moderate.

Mines with their displacements cause damage to infrastructure and land, so it is important to control the displacement caused by mines. Also, the amount of minerals extracted from mines has always been of interest to managers. On the other hand, radar interferometry, given the production of repetitive and full images and the acceptable accuracy of this method, in examining be suggested for the study of displacements caused by open-pit mines against methods such as Leveling and Global Positioning System that are generally expensive and timeconsuming. The surveyor engineers are responsible for calculating the displacement and volume of excavation in open-pit mines using the Leveling and Global Positioning System. The purpose of this study was to calculate the displacement caused by excavation in open-pit mines and calculating the volume of excavation. Because of the large-scale displacement in open-pit mines, the maximum displacement that can be extracted by radar interferometry technology is controlled by two factors: a) the wavelength of the radar images and b) the dimensions of the radar images, by increasing the wavelength of the images or reducing the pixel dimensions of the radar images, the maximum displacement gradient generated by the interferometric radar can be achieved.
On the other hand, rapid exploitation in open-pit mines creates decorrelation between the SAR images; To eliminate decorrelation images, selecting images with small spatial and time baselines can solve this problem. In this study, the Gol Gohar mine in Sirjan was studied using Envisat satellite radar images. Radar image processing was also performed using StaMPS software. In this study, the displacement rate is increased by changing the amount of multi looking factor images from 20 for azimuth and 4 for range to 5 for azimuth and 1 for range (reducing image pixel dimensions). After reducing the pixel dimensions of the image the maximum displacement obtained for a point in the mine changed from -51 mm to -75 mm, and also extracted volume changed from 61,000 cubic meters to 67,000 cubic meters after. So, by reducing the pixel dimensions of the radar images, the amount of displacement gradient is more detectable, and the value volume of excavation from mine will be more realistic.

Phenol and phenolic compounds are highly toxic substances that are found as monoaromatic compounds in various industrial effluents from oil refineries, petrochemical plants, (coal) mines, and phenol resin plants. Their discharge into the environment, especially in water resources, causes serious toxicity. Traditionally, physicochemical methods have been used for the removal of phenol and phenolic compounds. Nowadays, bioremediation is known to be the best method for phenol removal from wastewater. The objective of the present study was twofold: isolation and identification of phenol degrading bacteria in the effluent from Golgohar Mine in Sirjan. For this purpose, samples were collected from different sections at Golgohar Mine and its effluent. Phenol degrading bacteria were isolated via enrichment of the samples in the Bushnell Hass medium with phenol used as the only source of carbon and energy. The predominant phenol degrader bacteria were selected by measuring turbidity at 600 nm. The bacteria were subsequently identified by amplification of 16S rRNA with
specific primers and PCR sequencing. In this study, 17 strains of phenol degrader bacteria were isolated in soil and wastewater samples collected from different zones of the mine. Screening methods confirmed that 4 strains exhibit a better capability for phenol degradation as evidenced by their capability to degrade 0.4 g/l of phenol. Molecular identification showed that these bacteria belong to the species Pesudomonas sp, Nitrratireductor sp., and Salegentibacter sp. The results also show that the effluent from Golgohar Mine in Sirjan contains many phenol degrading bacteria. The use of these bacteria in the treatment process may lead to a significant reduction in phenol pollution in the mineral effluent.

The study area is located northwest of Gol-e Gohar mine (Bahram Gur Protected Zone) in Sirjan, the Kerman Province, a part of the Sanandaj-Sirjan zone. The area is mainly dominated by metamorphic rocks with their basic igneous origin and sedimentary including slate, phyllite, schist (garnet schist, amphibole schist, mica schist, kyanite schist), epidote amphibolite, amphibolite, gneiss, quartzite and marble. Among the study rocks, amphibolites with different minerals paragenesis, have been experienced the highest metamorphic grade to amphibolite facies. The basic igneous rocks ranging in composition from tholeiitic to calc-alkaline are the source rocks of the studied amphibolites and the oceanic crust is their protolith. As the discrimination geochemical diagrams display the amphibolites of the study area probably belong to back arc tectonic environments, which are very similar to mid-ocean ridges (MORB). The primary magma of the igneous rocks and the protolith of amphibolites were derived from spinel-peridotite. Furthermore, on the geochemical diagrams which were used for the purpose of this study, the positive Ba and negative Nb anomalies along with low Nb/U ratio show that the magma of the protolith has been subjected to crustal contamination during rising to the surface. All the geochemical data indicate that the magma has emplaced in a supra-subduction environment related to Neotethys Ocean.

The shear strength parameters of rock mass fall among the most important information required for designing and stability analysis of structures excavated in the rocks. Based on this fact، Hoek and Brown suggested a method to estimate the strength and deformability parameters of jointed rock masses. In rock engineering designs، the mean values of Hoek and Brown parameters are often used. In these cases، probability analysis of rock mass properties is highly important. In this paper، based on the results obtained from rock mechanics tests carried out on rock samples of Gol-e-Gohar iron ore mine، the uncertainties in determining the shear strength parameters of the mine rock masses were modeled according to Hoek and Brown failure criteria and using Monte Carlo simulation method. Since determination of shear strength parameters of rock mass based on a specific confidence level results in the required designs of the following steps to be done based on a specific confidence level، the values of these parameters were determined with a specific confidence level. The simulation results showed that the coefficient of variation and consequently، the sparsity of the simulated data can be caused by the equations used for calculating the output parameters. Using the same inputs، higher uncertainties are present in the mathematical model of the equation that produces outputs of greater coefficient of variation compared to other equations. Therefore، the coefficient of variation and thus، the sparsity of the simulated data is smaller for the internal friction angle (due to the trigonometric equation) compared to the cohesion data. Moreover، the advantage of using distribution functions with the limits of 0 to +∞ rather than distribution functions with two infinite limits for fitting the data with small numerical values and high sparsity was shown while applying the Monte Carlo simulation method.