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)
Predicting acid mine drainage generation resulted from copper tailing particles by using gene expression programming (GEP)- A case study
1. Predicting acid mine drainage generation resulted from copper tailing particles by using gene expression programming (GEP)- A case study

Behshad Jodeiri Shokri; Hesam Dehghani; Reza Shamsi; Faramarz Doulati Ardejani

Articles in Press, Accepted Manuscript, Available Online from 02 November 2020

http://dx.doi.org/10.22044/jme.2020.10031.1938

Abstract
  This work presents a quantitative predicting likely acid mine drainage (AMD) generation process throughout tailing particles resulting from the Sarcheshmeh copper mine in the south ...  Read More
Probabilistic prediction of acid mine drainage generation risk based on pyrite oxidation process in coal washery rejects - A Case Study
2. Probabilistic prediction of acid mine drainage generation risk based on pyrite oxidation process in coal washery rejects - A Case Study

Behshad Jodeiri Shokri; Masoud Zare Naghadehi; Faramarz Doulati Ardejani; Foroud Hadadi

Articles in Press, Accepted Manuscript, Available Online from 20 June 2020

http://dx.doi.org/10.22044/jme.2020.9609.1873

Abstract
  In this paper, we investigate a probabilistic approach in order to predict how acid mine drainage is generated within coal waste particles in NE Iran. For this, a database is built ...  Read More
Application of Phytoremediation to Reduce Environmental Pollution of Copper Smelting and Refinery Factories: a Review
3. Application of Phytoremediation to Reduce Environmental Pollution of Copper Smelting and Refinery Factories: a Review

R. Siyar; F. Doulati Ardejani; M. Farahbakhsh; M. Yavarzadeh; S. Maghsoudy

Volume 11, Issue 2 , Spring 2020, , Pages 517-537

http://dx.doi.org/10.22044/jme.2020.9109.1800

Abstract
  Copper smelting and refinery factories are the final stages of a pyrometallurgical processing chain, and they cause many environmental challenges around the world. One of the most common ...  Read More
Application of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters
4. Application of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters

A. Aryafar; R. Mikaeil; F. Doulati Ardejani; S. Shaffiee Haghshenas; A. Jafarpour

Volume 10, Issue 2 , Spring 2019, , Pages 327-337

http://dx.doi.org/10.22044/jme.2018.6511.1469

Abstract
  The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight ...  Read More
A new stochastic 3D seismic inversion using direct sequential simulation and co-simulation in a genetic algorithm framework
5. A new stochastic 3D seismic inversion using direct sequential simulation and co-simulation in a genetic algorithm framework

H. Sabeti; A. Moradzadeh; F. Doulati Ardejani; A. Soares

Volume 8, Issue 3 , Summer 2017, , Pages 321-335

http://dx.doi.org/10.22044/jme.2016.628

Abstract
  Stochastic seismic inversion is a family of inversion algorithms in which the inverse solution was carried out using geostatistical simulation. In this work, a new 3D stochastic seismic ...  Read More
Determining fractal parameter and depth of magnetic sources for ardabil geothermal area using aeromagnetic data by de-fractal approach
6. Determining fractal parameter and depth of magnetic sources for ardabil geothermal area using aeromagnetic data by de-fractal approach

A. Khojamli; F. Doulati Ardejani; A. Moradzadeh; A. Nejati Kalateh; A. Roshandel Kahoo; S. Porkhial

Volume 8, Issue 1 , Winter 2017, , Pages 93-101

http://dx.doi.org/10.22044/jme.2015.481

Abstract
  The Ardabil geothermal area is located in the northwest of Iran, which hosts several hot springs. It is situated mostly around the Sabalan Mountain. The Sabalan geothermal area is now ...  Read More
Application of artificial neural network and genetic algorithm to modelling the groundwater inflow to an advancing open pit mine
7. Application of artificial neural network and genetic algorithm to modelling the groundwater inflow to an advancing open pit mine

S. Bahrami; F. Doulati Ardejani

Volume 6, Issue 1 , Winter 2015, , Pages 21-30

http://dx.doi.org/10.22044/jme.2014.330

Abstract
  In this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. Novel hybrid method coupling artificial neural network (ANN) ...  Read More