Sakineh Rostami Tarzm; Farid Gholamreza Fahimi; Reza Amir Nezhad; Aptin Rahnavard; Ahmad Tavana
Abstract
AbstractIntroduction & Purpose: Gold Mining companies are one of the industries that if not properly act in accordance with the sustainable development goals, they will cause a lot of environmental contamination in the environment. In these factories, tailings dams are places where effluents and ...
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AbstractIntroduction & Purpose: Gold Mining companies are one of the industries that if not properly act in accordance with the sustainable development goals, they will cause a lot of environmental contamination in the environment. In these factories, tailings dams are places where effluents and tailings materials from gold mining factories are collected and stored, and if not properly controlled and monitored, they can be a significant source of cyanide and heavy metals contamination. In this study, cyanide and heavy metals contamination of groundwater, soil and tailings of Takab gold mine were studied.Methods: In this descriptive cross-sectional study, 19 stations were selected for sampling of piezometric wells, soils around the mine, and tailings dam of the Takab gold mine during a one-year period. Water samples were transferred to the laboratory after stored at 4 °C. The Heavy metals in water samples, soil, and tailings were measured by Atomic Absorption Spectrophotometry (AAS) method.Results: The amount of cyanide, mercury and arsenic were measured in the range of 0-105, 0-83.7 µg L-1 and 0-120.4 mg L-1 in water samples, respectively. Also the amount of these contaminants (cyanide, mercury and arsenic) in soil samples were in the range of 37.02 - 58 mg kg-1, 0 - 25.6, and 27.6 - 420 µg kg-1, respectively. Conclusion: The results showed that, there was no significant difference in the mean concentration of arsenic in the water samples of the studied wells. But in the case of mercury and cyanide, the studied wells have a significant difference. Tailings samples had the highest concentration of cyanide and heavy metals, and had significant differences with soil and water samples.
Akram Ghorbani; Farid Gholamreza Fahimi; Ahmad Tavana; Masood Kiadaliri
Abstract
One of the complications of transportation in cities is noise pollution caused by vehicles. Today, noise in urban environments is an important issue in the field of public health. Due to the negative effects of noise pollution on human health and well-being, it is necessary to identify and understand ...
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One of the complications of transportation in cities is noise pollution caused by vehicles. Today, noise in urban environments is an important issue in the field of public health. Due to the negative effects of noise pollution on human health and well-being, it is necessary to identify and understand these effects on the health of exposed people. In this study, the type of traffic axis composition of the highway was identified and the type of traffic information required was identified by identifying the locations for the sound station along the highway axis and preparing sound data and identifying the factors affecting sound propagation. At each sampling station, the required variables in the intervals of 7: 30-9: 30, 12: 30-14: 30, 18: 30-20: 30, 23: 30-1: 30 And 3: 30-5: 30 and different seasons of the year were measured and recorded for modeling. The results show that the comparison of the average parameters of noise pollution in different stations of Shahid Kalantari Highway at a significant level of 5% showed that the highest amount of noise and sound indicators measured are related to the first station of Abadgaran with the amount of deci, respectively. Bell is 79.61 dB, the entrance road to Kuhsangi is about 80 dB and the lowest station of Hafez Square is about 58 dB. The parameters Lmax, Leq, L10, L50 and L90 are visually uniform distribution of results in the fit line range. According to the results of this study, it is announced that in all seasons of the year, the average equivalent sound level in all stations studied is higher than the recommended daily ambient sound level in the Iranian open air sound standard. While the standard sound level in residential areas is 55 decibels during the day and 45 decibels at night.