A mathematical programming model for optimal cut-off grade policy in open pit mining operations with multiple processing streams

Ecological problems in the open pit mining of coal deposits are extremely hard, since mining operations are accompanied by disturbed land to a large depth with significant changes in the landscape, hydrometeorological conditions, mixing of rocks and removal of infertile or even harmful rocks with radioactive isotopes to the surface. Disturbed lands are unusable if they are not repaired. All man-made disturbances of the environment caused by open pit mining are divided into landscape (changes in terrain, vegetation and soil cover) and environmental (violation of living conditions within the allotment and adjacent lands: changes in water regime, pollution of the soil, air and water basins) onesOne of the most important areas in the field of environmental protection is the reclamation (restoration) of the earth’s surface. In accordance with the requirements of the protection of the subsoil, enterprises engaged in the development of mineral deposits are obliged at their own expense to bring disturbed lands into a state suitable form for their further use. Reclamation of ought to be carried out during open pit mining operations and must be completed after mining of mineral resources in the terms established by the authorities that provide land for use.

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A GIS Software Module for Environmental Impact Assessment of the Open Pit Mining Projects for Small Mining Operators in Kazakhstan

Sustainability ◽

10.3390/su13126971 ◽

2021 ◽

Vol 13 (12) ◽

pp. 6971

Author(s):

Mikhail Zarubin ◽

Larissa Statsenko ◽

Pavel Spiridonov ◽

Venera Zarubina ◽

Noune Melkoumian ◽

...

Keyword(s):

Environmental Impact ◽

Impact Assessment ◽

Environmental Impact Assessment ◽

Mining Industry ◽

Open Pit ◽

Open Pit Mining ◽

Software Module ◽

Mining Operations ◽

Open Pit Mines ◽

Gis Software

This research article presents a software module for the environmental impact assessment (EIA) of open pit mines. The EIA software module has been developed based on the comprehensive examination of both country-specific (namely, Kazakhstan) and current international regulatory frameworks, legislation and EIA methodologies. EIA frameworks and methods have been critically evaluated, and mathematical models have been developed and implemented in the GIS software module ‘3D Quarry’. The proposed methodology and software module allows for optimised EIA calculations of open pit mines, aiming to minimise the negative impacts on the environment. The study presents an original methodology laid out as a basis for a software module for environmental impact assessment on atmosphere, water basins, soil and subsoil, tailored to the context of mining operations in Kazakhstan. The proposed software module offers an alternative to commercial off-the-shelf software packages currently used in the mining industry and is suitable for small mining operators in post-Soviet countries. It is anticipated that applications of the proposed software module will enable the transition to sustainable development in the Kazakh mining industry.

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On the issue of improving the reliability of machines for open-pit mining operations with expiring or expired standard exploitation period

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1023/1/012021 ◽

2021 ◽

Vol 1023 ◽

pp. 012021

Author(s):

P A Pobegailo ◽

A N Ilyina ◽

D Y Kritckij

Keyword(s):

Open Pit ◽

Open Pit Mining ◽

Mining Operations

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A Mathematical Programming Model to Determine Objective Weights for the Interval Extension of TOPSIS

Mathematical Problems in Engineering ◽

10.1155/2018/3783101 ◽

2018 ◽

Vol 2018 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Hai Shen ◽

Lingyu Hu ◽

Kin Keung Lai

Keyword(s):

Mathematical Programming ◽

Input Data ◽

Programming Model ◽

Multiple Criteria Decision Making ◽

Decision Makers ◽

Mathematical Programming Model ◽

Topsis Method ◽

Data Set ◽

Interval Extension ◽

Interval Valued

Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method has been extended in previous literature to consider the situation with interval input data. However, the weights associated with criteria are still subjectively assigned by decision makers. This paper develops a mathematical programming model to determine objective weights for the implementation of interval extension of TOPSIS. Our method not only takes into account the optimization of interval-valued Multiple Criteria Decision Making (MCDM) problems, but also determines the weights only based upon the data set itself. An illustrative example is performed to compare our results with that of existing literature.

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