Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Main Subjects = Environment
Number of Articles: 7
1. Delineation of alteration zones based on artificial neural networks and concentration-volume fractal methods in the hypogene zone of porphyry copper-gold deposit, Masjed-Daghi, East Azerbaijan Province, Iran
Volume 10, Issue 4 , Autumn 2019, , Pages 883-901
Abstract
In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of the Artificial Neural Networks (ANNs) technique in ore grade estimation. Different ... Read More
2. Evaluation of stream sediment contamination by potentially toxic elements around mining and farming areas (SE Nigeria)
Volume 10, Issue 4 , Autumn 2019, , Pages 833-851
Abstract
In this work, the concentrations of the potentially toxic elements in stream sediments in SE Nigeria were assessed for pollution monitoring in mining, quarrying, and farming areas. ... Read More
3. Detection of Mo geochemical anomaly in depth using a new scenario based on spectrum–area fractal analysis
Volume 10, Issue 3 , Summer 2019, , Pages 695-704
Abstract
Detection of deep and hidden mineralization using the surface geochemical data is a challenging subject in the mineral exploration. In this work, a novel scenario based on the spectrum–area ... Read More
4. Discriminating copper geochemical anomalies and assessment of their reliability using a combination of sequential Gaussian simulation and gap statistic methods in Hararan area, Kerman, Iran
Volume 10, Issue 1 , Winter 2019, , Pages 75-86
Abstract
In geochemical exploration, there are various techniques such as univariate and multivariate statistical methods available for recognition of anomalous areas. Univariate techniques ... Read More
5. Identification of geochemical anomalies associated with Cu mineralization by applying spectrum-area multi-fractal and wavelet neural network methods in Shahr-e-Babak mining area, Kerman, Iran
Volume 10, Issue 1 , Winter 2019, , Pages 49-73
Abstract
The Shahr-e-Babak district, as the studied area, is known for its large Cu resources. It is located in the southern side of the Central Iranian volcano–sedimentary complex in ... Read More
6. A comparative study of fractal models and U-statistic method to identify geochemical anomalies; case study of Avanj porphyry system, Central Iran
Volume 9, Issue 1 , Winter 2018, , Pages 209-227
Abstract
The most significant aspect of a geochemical exploration program is to define and separate the anomalous values from the background. In the past decades, geochemical anomalies have ... Read More
7. Application of alteration index and zoning for Pb-Znexploration in Haft-Savaran area, Khomein, Iran
Volume 9, Issue 1 , Winter 2018, , Pages 229-242