Volume 15 (2024)
Volume 14 (2023)
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)
Evaluating a Sediment Pollution using Contamination Indices and Risk Assessment in Mineralized Zones, Eastern Iran

Saeed Saadat

Volume 13, Issue 4 , October 2022, , Pages 1239-1253

https://doi.org/10.22044/jme.2023.12464.2262

Abstract
  In this work, the results of nearly 1400 stream sediment sample analysis are processed to better understand environmental pollution caused by mining activities in Eastern Iran. The stream sediment samples are analyzed for As, Sb, Fe, Cr, Ni, Co, Cu, Zn, Pb, Sr, and Hg. The mean concentration of these ...  Read More

Comparison of Efficiencies of Neutralizing Agents for Heavy Metal Removal from Acid Mine Drainage

Afrodita Zendelska; Adrijana Trajanova; Mirjana Golomeova; Blagoj Golomeov; Dejan Mirakovski; Nikolinka Doneva; Marija Hadzi-Nikolova

Volume 13, Issue 3 , July 2022, , Pages 679-691

https://doi.org/10.22044/jme.2022.12090.2205

Abstract
  The treatment of acid mine drainages is usually based on two basic technologies, active and passive treatment technologies. Whichever acid mine drainage (AMD) treatment method is employed, a neutralizing procedure that raises the water's pH over 7.0 using alkaline agents is required prior to discharge. ...  Read More

Heavy metal pollution and identification of their sources in soil over Sangan iron-mining region, NE Iran

R. Dabiri; M. Bakhshi Mazdeh; H. Mollai

Volume 8, Issue 2 , April 2017, , Pages 277-289

https://doi.org/10.22044/jme.2016.820

Abstract
  The aim of this study was to determine the extent of metal pollutions and the identification of their major sources in the vicinity of the Sangan iron mine occurring in NE Iran. Soil samples were collected from the vicinity of the mine site and analyzed for heavy metals. In addition, the chemical speciation ...  Read More

Use of artificial intelligence techniques to predict distribution of heavy metals in groundwater of Lakan lead-zinc mine in Iran

Z. Bayatzadeh Fard; F. Ghadimi; H. Fattahi

Volume 8, Issue 1 , January 2017, , Pages 35-48

https://doi.org/10.22044/jme.2016.592

Abstract
  Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization ...  Read More

Biosorption of Lead (II) and Zinc (II) ions by pre-treated biomass of phanerochaete chrysosporium

R. Marandi; F. Doulati Ardejani; H. Amir Afshar

Volume 1, Number 1 , January 2010

https://doi.org/10.22044/jme.2010.2

Abstract
  The biosorption of heavy metals can be an effective process for the removal of such metal ions from aqueous solutions. In this study, the adsorption properties of nonliving biomass of phanerochaete chrysosporium for Pb (II) and Zn (II) were investigated by the use of batch adsorption techniques. The ...  Read More