PREDICTION OF REMAINED PYRITE FRACTION WITHIN A COAL WASTE PILE WITH USING OF MULTIVARIATE REGRESSION METHOD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

JODEIRI SHOKRI BEHSHAD; DOULATI ARDEJANI FARAMARZ; KARIMPOULI SADEGH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY Year:2016 | Volume:18 | Issue:3 Page(s): 37-52

Download Full-Text

Persian Verion

View:

707

Download:

Cites:

Information Journal Paper

Title

PREDICTION OF REMAINED PYRITE FRACTION WITHIN A COAL WASTE PILE WITH USING OF MULTIVARIATE REGRESSION METHOD

Author(s)

JODEIRI SHOKRI BEHSHAD | DOULATI ARDEJANI FARAMARZ | KARIMPOULI SADEGH | Issue Writer Certificate

Keywords

COAL WASTE PILEQ1

REMAINED PYRITE FRACTIONQ1

MULTIVARIATE REGRESSIONQ1

ALBORZ- SHARGHI COAL WASHING PLANTQ1

Abstract

Background and Objective: Acid mine drainage (AMD) is one of the most environmental problems which is caused by mining activities. It may be generated from oxidation of sulfide minerals (specifically pyrite) in mining wastes, ore and mineral processing. As a result, prediction and measurement of pyrite can play a key role in investigation of AMD process. In this paper, a relationship based on MULTIVARIATE REGRESSION is suggested for predicting of REMAINED PYRITE FRACTION within a COAL WASTE PILE located nearby ALBORZ- SHARGHI COAL WASHING PLANT.Method: For this purpose, the model uses the most important factors (independent variables) including depth, mole fraction of oxygen, local temperature and cumulative annual precipitation (from the initial deposition of the wastes within the pile) as input parameters and returns the remaining pyrite fraction (dependent variable) in the related depth of the pile as its output.Findings: The results of the laboratory experiments reveal that the fraction of pyrite remaining gradually increased at the lower depth where the oxygen diffuses from the surface to 2 m of the pile. A comprehensive statistical analysis was conducted after obtaining and collecting of the required data which caused all the possible relationships among the target and independent variables to be suggested and presented. Then, the best model (relationship) according to Efroymson’s the step wise regression method was presented to predict of the REMAINED PYRITE FRACTION within the pile.Discussion and discussions: The relatively high confidence level of the suggested model (87%) reveals its appropriate reliability. A strong correlation (R2=90%) between validation data and suggested model also confirms the desirable reliability of the model. The proposed model is recommended to be applied in similar COAL WASTE PILEs and will economize time and cost in investigation of AMD process on the environmental management issue of mining wastes.

Cites

No record.

References

No record.

Cite

APA: Copy

JODEIRI SHOKRI, BEHSHAD, DOULATI ARDEJANI, FARAMARZ, & KARIMPOULI, SADEGH. (2016). PREDICTION OF REMAINED PYRITE FRACTION WITHIN A COAL WASTE PILE WITH USING OF MULTIVARIATE REGRESSION METHOD. JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 18(3), 37-52. SID. https://sid.ir/paper/87194/en

Vancouver: Copy

JODEIRI SHOKRI BEHSHAD, DOULATI ARDEJANI FARAMARZ, KARIMPOULI SADEGH. PREDICTION OF REMAINED PYRITE FRACTION WITHIN A COAL WASTE PILE WITH USING OF MULTIVARIATE REGRESSION METHOD. JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY[Internet]. 2016;18(3):37-52. Available from: https://sid.ir/paper/87194/en

IEEE: Copy

BEHSHAD JODEIRI SHOKRI, FARAMARZ DOULATI ARDEJANI, and SADEGH KARIMPOULI, “PREDICTION OF REMAINED PYRITE FRACTION WITHIN A COAL WASTE PILE WITH USING OF MULTIVARIATE REGRESSION METHOD,” JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 18, no. 3, pp. 37–52, 2016, [Online]. Available: https://sid.ir/paper/87194/en

Related Journal Papers