scholarly journals Artificial Neural Network Optimized by Modified Particle Swarm Optimization for Predicting Peak Particle Velocity Induced by Blasting Operations in Open Pit Mines

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Xuan-Nam BUI ◽  
Hoang NGUYEN ◽  
Truc Anh NGUYEN
Keyword(s):  
Neural Network ◽  
Particle Velocity ◽  
Mean Squared Error ◽  
Empirical Models ◽  
Peak Particle Velocity ◽  
Open Pit ◽  
Open Pit Mining ◽  
Coefficient Of Determination ◽  
Ann Model ◽  
Mining Operations

Blasting is an indispensable part of the open pit mining operations. It plays a vital role inpreparing the rock mass for subsequent operations, such as loading/unloading, transporting, crushing, anddumping. However, adverse effects, especially blast-induced ground vibrations, are considered one of themost dangerous problems. In this study, artificial intelligence was supposed to predict the intensity ofblast-induced ground vibration, which is represented by the peak particle velocity (PPV). Accordingly, anartificial neural network was designed to predict PPV at the Coc Sau open pit coal mine with 137 blastingevents were collected. Aiming to optimize the ANN model, the modified version of the particle swarmoptimization (MPSO) algorithm was applied to optimize the ANN model for predicting PPV, called theMPSO-ANN model. For the comparison purposes, two forms of empirical equations, namely UnitedStates Bureau of Mining (USBM) and U Langefors - Kihlstrom, were also developed to predict PPV andcompared with the proposed MPSO-ANN model. The results showed that the proposed MPSO-ANNmodel provided a better performance with a mean absolute error (MAE) of 1.217, root-mean-squared error(RMSE) of 1.456, and coefficient of determination (R2) of 0.956. Meanwhile, the empirical models onlyprovided poorer performances with an MAE of 1.830 and 2.012, RMSE of 2.268 and 2.464, and R2 of0.874 and 0.852 for the USBM and U Langefors – Kihlstrom empirical models, respectively.

scholarly journals Comparison of daily rainfall forecasting using multilayer perceptron neural network model

2020 ◽  
Vol 9 (3) ◽  
pp. 456
Author(s):  
Mazwin Arleena Masngut ◽  
Shuhaida Ismail ◽  
Aida Mustapha ◽  
Suhaila Mohd Yasin
Keyword(s):  
Neural Network ◽  
Mean Squared Error ◽  
Forecast Error ◽  
Arima Model ◽  
Daily Rainfall ◽  
Absolute Error ◽  
Coefficient Of Determination ◽  
Ann Model ◽  
Rainfall Forecasting ◽  
Agriculture Sector

Rainfall is important in predicting weather forecast particularly to the agriculture sector and also in environment which gives great contribution towards the economy of the nation. Thus, it is important for the hydrologists to forecast daily rainfall in order to help the other people in the agriculture sector to proceed with their harvesting schedules accordingly and to make sure the results of their crops would be satisfying. This study is set to forecast the daily rainfall future value using ARIMA model and Artificial Neural Network (ANN) model. Both method is evaluated by using Mean Absolute Error (MAE), Mean Forecast Error (MFE), Root Mean Squared Error (RMSE) and coefficient of determination (R ). The results showed that ANN model has outperformed results than ARIMA model. The results also showed ANN has under-forecast the daily rainfall data by 2.21% compare to ARIMA with over-forecast of -3.34%. From this study, it shows that the ANN (6,4,1) model produces better results of MAE (8.4208), MFE (2.2188), RMSE (34.6740) and R (0.9432) compared to ARIMA model. This has proved that ANN model has outperformed ARIMA model in predicting daily rainfall values.

Current state and perspectives in automation of the open pit mining operations

2019 ◽  
Vol 8 (30) ◽  
pp. 115-123
Author(s):  
A.A. Sobolev ◽  
◽  
G.V. Sekisov ◽  
A.Yu. Cheban ◽  
N.M. Litvinova ◽  
...  
Keyword(s):  
Open Pit ◽  
Open Pit Mining ◽  
Mining Operations ◽  
Current State

scholarly journals On the Measures to Solve Environmental Problems of the Territory with Intensive Open Pit Coal Mining

2019 ◽  
Vol 105 ◽  
pp. 02006
Author(s):  
Tatiana Gvozdkova ◽  
Pawel Stefanek ◽  
Michaela Koščová
Keyword(s):  
Soil Cover ◽  
Mineral Resources ◽  
Radioactive Isotopes ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Operations ◽  
Coal Deposits ◽  
Disturbed Land ◽  
Ecological Problems ◽  
Suitable Form

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.

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.

USE OF THE DEVELOPED SPACE OF OPEN-PIT MINING OPERATIONS AFTER THEIR DEVELOPMENT

2021 ◽  
Vol 21 (8) ◽  
pp. 131-134
Author(s):  
G. N. Nyusupova ◽  
◽  
S.V. Tursbekov ◽  
A.N. Musagalieva ◽  
Sh.A. Zhantueva ◽  
...  
Keyword(s):  
Open Pit ◽  
Open Pit Mining ◽  
Mining Operations

scholarly journals On evaluation of complex-structured coal deposits based on their typical geometric features

2021 ◽  
Vol 303 ◽  
pp. 01029
Author(s):  
Alexander Katsubin ◽  
Victor Martyanov ◽  
Milan Grohol
Keyword(s):  
Surface Mining ◽  
Geological Structure ◽  
Point Of View ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Operations ◽  
Coal Deposits ◽  
Geological Conditions ◽  
Wide Range ◽  
Large Length

Information about the geological structure of Kuznetsky coal basin (Kuzbass) allows us to note that coal deposits developed by open-cast method are characterized by complicated conditions and have the following features: large length of deposits at significant depths of occurrence; coal series bedding of different thicknesses (from 1 to 40 m); different dip angles (from 3 to 90º); a significant number of dip and direction disturbances; different thickness of unconsolidated quaternary sediments (from 5 to 40 m); a wide range of strength values of rocks. In addition, there is a thickness irregularity and frequent variability of elements of occurrence of coal seams within the boundaries of a quarry field both in length and depth of mining. From the point of view of open-pit mining, such deposits are complex-structured. The factors listed above have a decisive influence on the choice of technical means, the order of development and the possibility of carrying out surface mining operations. Therefore, there is a need for a systematization of mining and geological conditions for the development of coal deposits, the purpose of which is to ensure a process of evaluation of complex-structured coal deposits for the development of coal-bearing zones by various complexes of equipment.

scholarly journals Brown Coal in Victoria, Australia and Maddingley Brown Coal Open Cut Mine Batter Stability

2020 ◽  
Vol 9 (3) ◽  
pp. 109-118
Author(s):  
Lei Zhao ◽  
Greg You
Keyword(s):  
Coal Seam ◽  
Brown Coal ◽  
Large Scale ◽  
Low Cost ◽  
Three Dimensional ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Operations ◽  
Power Generators ◽  
Three Dimensional Finite Element

Brown coal is young, shallowly deposited, and widely distributed in the world. It is a fuel commonly used to generate electricity. This paper first reviews the resources and characteristics of brown coal in Victoria, Australia, and its exploitation and contribution to the economy or power supply in Victoria. Due to the shallow depth of the brown coal seam, e.g. very favorable stripping ratio, open pit mining is the only mining method used to extract the coal at low cost for power generators. With the large-scale mining operations, cases of batter failure were not rare in the area. From the comprehensive review of past failures, overburden batter tends to fail by circular sliding, coal batter tends to fail by block sliding after the overburden is stripped due to a weak water-bearing layer underneath the coal seam and tension cracks developed at the rear of the batter, and batter failure is typically coincided with peak raining seasons. Secondly, the paper reviews the case study of Maddingley Brown Coal (MBC) Open Cut Mine batter stability, including geology, hydrogeology, and hydro-mechanically coupled numerical modelling. The modelling employs three-dimensional finite element method to simulate the MBC northern batter where cracks were observed in November 2013. The comprehensive simulation covers an overburden batter, a brown coal batter, two rainfall models, and a buttressed batter. The simulated results agree well with observed data, and it is found that the rainfall at the intensity of 21mm substantially lowered the factor of safety of the coal batter.

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