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