Exploration and Mining
Ali Aalianvari; Saeed Soltani-Mohammadi; Maryam Miri
Abstract
The main objective of this paper is to estimate water seepage from the Azad dam foundation, based on the combined geotechnical investigations and multivariate geostatistical methods. Geological filed investigations and records at the 38 exploratory boreholes have been considered as the main source for ...
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The main objective of this paper is to estimate water seepage from the Azad dam foundation, based on the combined geotechnical investigations and multivariate geostatistical methods. Geological filed investigations and records at the 38 exploratory boreholes have been considered as the main source for seepage calculations. Due to expansion of reservoir and a few boreholes and limitation of geological investigations, distribution of permeability and permeability changes in the reservoir area is not an indicator for reservoir. In this research using geostatistical method (Kriging), Lugeon values have been estimated for abutments and foundation of the reservoir. Afterward, seepage was estimated for reservoir by using numerical method (FEM).results show that around 450 lit/min water was seepage from the dam. That is very close to the observed seepage from dam foundation. Based on the results, the total seepage estimated is around 450 lit/min that is relatively closed to the observed and measurements flow (350lit/min).
Geological Environment and Engineering
E. Ghadiri Soufi; S. Soltani Mohammadi; M. Yousefi; A. Aalianvari
Abstract
In mining areas, assessing toxic elements (e.g., arsenic) contamination in the soil and stream deposits is a critical issue. It is because mining activities release dangerous elements that enter the environment. In this paper, for modeling the spatial distribution of arsenic contamination in Sarduiyeh-Baft ...
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In mining areas, assessing toxic elements (e.g., arsenic) contamination in the soil and stream deposits is a critical issue. It is because mining activities release dangerous elements that enter the environment. In this paper, for modeling the spatial distribution of arsenic contamination in Sarduiyeh-Baft area, in Kerman Province, across an area of ca. 5000 km2, 1804 stream sediment samples were collected and analyzed. The recommended standard limit for arsenic in soil is 20 ppm, so samples showing arsenic concentration >20 ppm are contaminated samples, which need land reform processes. However, since the number of collected samples is limited, indicator Kriging method was used to identify the possibility of contamination. In the study area, there are 32 known occurrences of porphyry-Cu deposits. Thus, in order to estimate the arsenic contamination in the unsampled locations, indicator kriging method was used. The results indicate arsenic contaminations in north and northwest parts of the study area, which could be occurred by mining of the porphyry-Cu deposits. However, the results show that there is no arsenic contamination in the eastern part although there are several mining sites with high activities.