Volume 13 (2022)
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)
Environment
Evaluation of stream sediment contamination by potentially toxic elements around mining and farming areas (SE Nigeria)

G.U Sikakwe

Volume 10, Issue 4 , October 2019, , Pages 833-851

http://dx.doi.org/10.22044/jme.2019.8180.1690

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. The levels of iron, molybdenum, vanadium, copper, lead, zinc, nickel, cobalt, manganese, chromium, barium, and beryllium ...  Read More

Environment
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

H. Nikoogoftar; A. Hezarkhani

Volume 10, Issue 4 , October 2019, , Pages 883-901

http://dx.doi.org/10.22044/jme.2019.7948.1663

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 training algorithms and numbers of hidden neurons are applied to estimate Cu grade of borehole data in the hypogene ...  Read More

Environment
Detection of Mo geochemical anomaly in depth using a new scenario based on spectrum–area fractal analysis

H. Mahdiyanfar

Volume 10, Issue 3 , July 2019, , Pages 695-704

http://dx.doi.org/10.22044/jme.2019.7944.1662

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 fractal analysis (SAFA) and the principal component analysis (PCA) has been applied to distinguish and delineate ...  Read More

Environment
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

B. Shokouh Saljoughi; A. Hezarkhani

Volume 10, Issue 1 , January 2019, , Pages 49-73

http://dx.doi.org/10.22044/jme.2018.6949.1533

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 SE Iran. Shahr-e-Babak is currently facing a shortage of resources, and therefore, mineral exploration in the deeper and ...  Read More

Environment
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

S. Abbaszade; F. Mohammad Torab; A. Alikhani; H. Molayemat

Volume 10, Issue 1 , January 2019, , Pages 75-86

http://dx.doi.org/10.22044/jme.2018.7037.1546

Abstract
  In geochemical exploration, there are various techniques such as univariate and multivariate statistical methods available for recognition of anomalous areas. Univariate techniques are usually utilized to estimate the threshold value, which is the smallest quantity among the values representing the anomalous ...  Read More

Environment
A comparative study of fractal models and U-statistic method to identify geochemical anomalies; case study of Avanj porphyry system, Central Iran

B. Shokouh Saljoughi; A. Hezarkhani; E. Farahbakhsh

Volume 9, Issue 1 , January 2018, , Pages 209-227

http://dx.doi.org/10.22044/jme.2017.6120.1426

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 been identified by means of various methods. Most of the conventional statistical methods aiming at defining the geochemical ...  Read More

Environment
Application of alteration index and zoning for Pb-Znexploration in Haft-Savaran area, Khomein, Iran

N. Zandy Ilghani; F. Ghadimi; M. Ghomi

Volume 9, Issue 1 , January 2018, , Pages 229-242

http://dx.doi.org/10.22044/jme.2017.6128.1427

Abstract
  The Haft-Savaran Pb-Zn mineralization zone with the lower Jurassic age is located in the southern basin of Arak and Malayer-Isfahan metallogenic belt of Iran. Based upon the geological map of the Haft-Savaran area, the sandstone and shale of lower Jurassic are the main rocks of Pb-Zn deposit. In this ...  Read More