scholarly journals Using CALPUFF to determine the environmental impact of a coal mine open pit

2016 ◽  
Author(s):  
H. Arregocés ◽  
R. Rojano ◽  
G. Restrepo ◽  
L. Angulo
Keyword(s):  
Environmental Impact ◽  
Coal Mine ◽  
Open Pit

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

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.

Assessment of the Underground Water Contaminated by the Leachate of Waste Dump of Open Pit Coal Mine Based on RBF Neural Network

2012 ◽  
Vol 599 ◽  
pp. 272-277 ◽  
Author(s):  
Zhi Bin Liu ◽  
Xiao Wei Yang
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Coal Mine ◽  
Comprehensive Evaluation ◽  
Rbf Neural Network ◽  
Training Sample ◽  
Underground Water ◽  
Open Pit ◽  
Waste Dump

This paper used RBF artificial neural network to evaluate the underground water contaminated by the leachate of waste dump of open pit coal mine of Xinqiu in Fuxin. Firstly, with the advantages of neural network method in dealing with nonlinear problem, the RBF neural network model was built. Then, the normalized standard matrix was taken as training sample and the MATLAB software was used to train the training sample. Finally, the monitoring data were taken as test samples and were inputted in the RBF neural network model to evaluate the groundwater quality of study area. At the same time, the concept of degree of membership was adopted in the result making it more objective and accurate. The result shows that the ground water of this mining is seriously polluted, class of its pollution is Ⅳ-Ⅴ.The method with strong classification function and reliable evaluation results is simple and effective, and can be widely applied in all kinds of water resources comprehensive evaluation.

Reliability analysis of an open pit coal mine slope

2000 ◽  
Vol 37 (4) ◽  
pp. 715-721 ◽  
Author(s):  
Jiachen Wang ◽  
Wenhui Tan ◽  
Shiwei Feng ◽  
Rudi Zhou
Keyword(s):  
Reliability Analysis ◽  
Coal Mine ◽  
Open Pit ◽  
Mine Slope

scholarly journals Comparative Analysis of Ecological Rucksack Between Open-pit and Underground Coal Mine

2011 ◽  
Vol 5 ◽  
pp. 1116-1120 ◽  
Author(s):  
CHU Daozhong ◽  
ZHU Qingli ◽  
WANG Jie ◽  
ZHAO Xiaozhi
Keyword(s):  
Comparative Analysis ◽  
Coal Mine ◽  
Open Pit ◽  
Underground Coal Mine
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