Artificial intelligence technologies for predicting dust emissions from mines
PM2.5 in OPCMs is a serious occupational hazard to miners’ health. It can cause respiratory, lung, cardiovascular, and cancer diseases. Historical reports indicate that increasing air PM2.5 pollution concentration by 10 μg/m 3 results in an increase in lung cancer rate by 36 %. Meanwhile, OPCM PM2.5 emissions measured in this study ranged 10 to 90 μg/m 3. These are really hazardous levels for the health of miners. Therefore, accurate air PM 2.5 pollution prediction is of crucial importance in terms of occupational health and selecting solutions to reduce OPCM PM2.5 pollution. Researchers proposed the novel HGS-FLNN model for predicting PM 2.5 pollution in OPCMs with an average accuracy of 94–95 %.
For more information, see the article in the journal of Mining Science and Technology (Russia):
📌 Bui X.-N., Nguyen H., Le Q.-T., Le T.N. Forecasting PM2.5 emissions in open-pit minesusing a functional link neural network optimized by various optimization algorithms. Mining Science and Technology (Russia). 2022;7(2):111-125. https://doi.org/10.17073/2500-0632-2022-2-111-125
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#inenglish #MST #open_pit #coal #mine #air_pollution #dust #neural_network #optimization #CocSau #QuangNinh #Vietnam
PM2.5 in OPCMs is a serious occupational hazard to miners’ health. It can cause respiratory, lung, cardiovascular, and cancer diseases. Historical reports indicate that increasing air PM2.5 pollution concentration by 10 μg/m 3 results in an increase in lung cancer rate by 36 %. Meanwhile, OPCM PM2.5 emissions measured in this study ranged 10 to 90 μg/m 3. These are really hazardous levels for the health of miners. Therefore, accurate air PM 2.5 pollution prediction is of crucial importance in terms of occupational health and selecting solutions to reduce OPCM PM2.5 pollution. Researchers proposed the novel HGS-FLNN model for predicting PM 2.5 pollution in OPCMs with an average accuracy of 94–95 %.
For more information, see the article in the journal of Mining Science and Technology (Russia):
📌 Bui X.-N., Nguyen H., Le Q.-T., Le T.N. Forecasting PM2.5 emissions in open-pit minesusing a functional link neural network optimized by various optimization algorithms. Mining Science and Technology (Russia). 2022;7(2):111-125. https://doi.org/10.17073/2500-0632-2022-2-111-125
Subscribe to the journal's Telegram channel:
👉t.iss.one/MinSciTech👈
#inenglish #MST #open_pit #coal #mine #air_pollution #dust #neural_network #optimization #CocSau #QuangNinh #Vietnam
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Dear Colleagues!
The issue (No. 4, 2024) of the Mining Science and Technology (Russia) journal has been published on our website.
🔥Hurry to read!🔥
In the new issue:
📌 Al-Dujaili A.N. New advances in drilling operations in sandstone, shale, and carbonate formations: a case study of five giant fields in the Mesopotamia Basin, Iraq. Mining Science and Technology (Russia). 2024;9(4):308-327. https://doi.org/10.17073/2500-0632-2023-08-146
📌 Bagdasarau M.A., Mayevskaya A.N., Petrov D.O., Sheshko N.N. GIS modeling of a Cenozoic strata structure in Brest region for forecasting and evaluation of non-metallic deposits. Mining Science and Technology (Russia). 2024;9(4):328-340. https://doi.org/10.17073/2500-0632-2024-03-230
📌 Deryaev A.R. Directional drilling of an exploratory well in the shallow waters of the Caspian Sea. Mining Science and Technology (Russia). 2024;9(4):341-351. https://doi.org/10.17073/2500-0632-2024-02-217
📌 Boyarko G.Yu., Lapteva A.M., Bolsunovskaya L.M. Mineral resource base of Russia’s copper: current state and development prospects. Mining Science and Technology (Russia). 2024;9(4):352-386. https://doi.org/10.17073/2500-0632-2024-05-248
📌 Kalashnik A.I. Effect of water inflows on the strength characteristics of the Lovozero rare-metal deposit rocks. Mining Science and Technology (Russia). 2024;9(4):387-394. https://doi.org/10.17073/2500-0632-2023-09-160
📌 Korol E.A., Degaev E.N., Konyukhov D.S. Assessing dust concentration at the workplace of a crushing and screening plant operator for special labor conditions evaluation. Mining Science and Technology (Russia). 2024;9(4):395-405. https://doi.org/10.17073/2500-0632-2024-03-235
📌 Mitrakova N.V., Khayrulina E.A., Perevoshchikova A.A., Poroshina N.V., Malyshkina E.E., Yakovleva E.S., Kobelev N.A. Chemical and ecological properties of soils and the NDVI analysis on reclaimed sulfide coal waste dumps in the boreal zone. Mining Science and Technology (Russia). 2024;9(4):406-419. https://doi.org/10.17073/2500-0632-2024-04-206
📌 Borisenko V.F., Sidorov V.A., Sushko A.E., Rybakov V.N. Vibration metrics for informational support in assessing the technical condition of ball mills. Mining Science and Technology (Russia). 2024;9(4):420-432. https://doi.org/10.17073/2500-0632-2023-10-175
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👉t.iss.one/MinSciTech👈
#inenglish #MST #issue #hydrocarbons #field #reserves #basin #formation #extraction #drilling #well #productivity #solution #accident #reservoir #bit #control #Iraq #geology #Cenozoic #forecast #GIS #ArcGIS #evaluation #Brest #energy #efficiency #exploration #well #CaspianSea #copper #ore #deposit #mining #Russia #mine #rock #hazard #Lovozero #Karnasurt #production, #crushedstone, #dust, #concentration #emissions #harm #protection #coal #dump #waste #reclamation #lithostrat #soil #NDVI #embryonic #mill #electricdrive #electricengine #shaft #bearing #operation #damage #failures #control #diagnostics #vibration #signal #frequency #analysis #correlation
The issue (No. 4, 2024) of the Mining Science and Technology (Russia) journal has been published on our website.
🔥Hurry to read!🔥
In the new issue:
📌 Al-Dujaili A.N. New advances in drilling operations in sandstone, shale, and carbonate formations: a case study of five giant fields in the Mesopotamia Basin, Iraq. Mining Science and Technology (Russia). 2024;9(4):308-327. https://doi.org/10.17073/2500-0632-2023-08-146
📌 Bagdasarau M.A., Mayevskaya A.N., Petrov D.O., Sheshko N.N. GIS modeling of a Cenozoic strata structure in Brest region for forecasting and evaluation of non-metallic deposits. Mining Science and Technology (Russia). 2024;9(4):328-340. https://doi.org/10.17073/2500-0632-2024-03-230
📌 Deryaev A.R. Directional drilling of an exploratory well in the shallow waters of the Caspian Sea. Mining Science and Technology (Russia). 2024;9(4):341-351. https://doi.org/10.17073/2500-0632-2024-02-217
📌 Boyarko G.Yu., Lapteva A.M., Bolsunovskaya L.M. Mineral resource base of Russia’s copper: current state and development prospects. Mining Science and Technology (Russia). 2024;9(4):352-386. https://doi.org/10.17073/2500-0632-2024-05-248
📌 Kalashnik A.I. Effect of water inflows on the strength characteristics of the Lovozero rare-metal deposit rocks. Mining Science and Technology (Russia). 2024;9(4):387-394. https://doi.org/10.17073/2500-0632-2023-09-160
📌 Korol E.A., Degaev E.N., Konyukhov D.S. Assessing dust concentration at the workplace of a crushing and screening plant operator for special labor conditions evaluation. Mining Science and Technology (Russia). 2024;9(4):395-405. https://doi.org/10.17073/2500-0632-2024-03-235
📌 Mitrakova N.V., Khayrulina E.A., Perevoshchikova A.A., Poroshina N.V., Malyshkina E.E., Yakovleva E.S., Kobelev N.A. Chemical and ecological properties of soils and the NDVI analysis on reclaimed sulfide coal waste dumps in the boreal zone. Mining Science and Technology (Russia). 2024;9(4):406-419. https://doi.org/10.17073/2500-0632-2024-04-206
📌 Borisenko V.F., Sidorov V.A., Sushko A.E., Rybakov V.N. Vibration metrics for informational support in assessing the technical condition of ball mills. Mining Science and Technology (Russia). 2024;9(4):420-432. https://doi.org/10.17073/2500-0632-2023-10-175
Subscribe to the journal's Telegram channel:
👉t.iss.one/MinSciTech👈
#inenglish #MST #issue #hydrocarbons #field #reserves #basin #formation #extraction #drilling #well #productivity #solution #accident #reservoir #bit #control #Iraq #geology #Cenozoic #forecast #GIS #ArcGIS #evaluation #Brest #energy #efficiency #exploration #well #CaspianSea #copper #ore #deposit #mining #Russia #mine #rock #hazard #Lovozero #Karnasurt #production, #crushedstone, #dust, #concentration #emissions #harm #protection #coal #dump #waste #reclamation #lithostrat #soil #NDVI #embryonic #mill #electricdrive #electricengine #shaft #bearing #operation #damage #failures #control #diagnostics #vibration #signal #frequency #analysis #correlation
mst.misis.ru
Vol 9, No 4 (2024)
Peer-rewieved journal
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We present the articles of the third issue of scientific journal "Mining Science and Technology” (Russia) for 2024:
The paper presents the results of the dependence of wastewater treatment efficiency on the size of filtering material fractions.
For more information, see the article:
📌 Ivanova L.A., Prosekov A.Yu., Ivanov P.P. et al. Assessment of the efficiency of wastewater treatment from coal enterprises for suspended solids using various filtering materials. Mining Science and Technology (Russia). 2024;9(3):263-270. https://doi.org/10.17073/2500-0632-2024-03-227
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#inenglish #MST #wastewater #coal #suspension #filtration #quartzite #treatment #gravity #sedimentation #fraction #coagulation #sump #regeneration #washing #backwashing #dynamic #quarry #sand #crushedstone #zeolite #sorbent #pump #dam #dust #clay #method #technology #hydraulics
The paper presents the results of the dependence of wastewater treatment efficiency on the size of filtering material fractions.
For more information, see the article:
📌 Ivanova L.A., Prosekov A.Yu., Ivanov P.P. et al. Assessment of the efficiency of wastewater treatment from coal enterprises for suspended solids using various filtering materials. Mining Science and Technology (Russia). 2024;9(3):263-270. https://doi.org/10.17073/2500-0632-2024-03-227
Subscribe to the journal's Telegram channel:
👉t.iss.one/MinSciTech👈
#inenglish #MST #wastewater #coal #suspension #filtration #quartzite #treatment #gravity #sedimentation #fraction #coagulation #sump #regeneration #washing #backwashing #dynamic #quarry #sand #crushedstone #zeolite #sorbent #pump #dam #dust #clay #method #technology #hydraulics
mst.misis.ru
Assessment of the efficiency of wastewater treatment from coal enterprises for suspended solids using various filtering materials…
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We present the articles of the fourth issue of scientific journal "Mining Science and Technology” (Russia) for 2024:
The purpose of this study is to assess dust concentration at the workplace of a crushing and screening plant operator as part of a special labor conditions evaluation. Dust concentration at the operator's workplace was measured using a standard gravimetric method. The testing was conducted in four stages and lasted 400 minutes, which is 83% of the total work shift duration. Data analysis revealed an exceedance of the permissible dust concentration by a factor of 1.28. The labor conditions class (subclass) was established as 3.1. It was found that the average dust concentrations varied by a factor of 3–4 across different testing stages due to the intensity and direction of air velocity at the production site. Based on the obtained data, dust concentrations at the workplace were predicted according to air velocity at the site, with an approximation accuracy of R2 = 0.95. The presented results can be used to predict dust concentrations at the workplaces of operators at other crushing and screening plants, taking into account individual empirical data collected at each site.
For more information, see the article:
📌 Korol E.A., Degaev E.N., Konyukhov D.S. Assessing dust concentration at the workplace of a crushing and screening plant operator for special labor conditions evaluation. Mining Science and Technology (Russia). 2024;9(4):395-405. https://doi.org/10.17073/2500-0632-2024-03-235
#Inenglish #MST #production #crushed_stone #crushing_plant #dust #concentration #emissions #dustcontrol #dust_generation #operator #workingconditions #occupationalhazards #forecasting #workerprotection #mining #safety
The purpose of this study is to assess dust concentration at the workplace of a crushing and screening plant operator as part of a special labor conditions evaluation. Dust concentration at the operator's workplace was measured using a standard gravimetric method. The testing was conducted in four stages and lasted 400 minutes, which is 83% of the total work shift duration. Data analysis revealed an exceedance of the permissible dust concentration by a factor of 1.28. The labor conditions class (subclass) was established as 3.1. It was found that the average dust concentrations varied by a factor of 3–4 across different testing stages due to the intensity and direction of air velocity at the production site. Based on the obtained data, dust concentrations at the workplace were predicted according to air velocity at the site, with an approximation accuracy of R2 = 0.95. The presented results can be used to predict dust concentrations at the workplaces of operators at other crushing and screening plants, taking into account individual empirical data collected at each site.
For more information, see the article:
📌 Korol E.A., Degaev E.N., Konyukhov D.S. Assessing dust concentration at the workplace of a crushing and screening plant operator for special labor conditions evaluation. Mining Science and Technology (Russia). 2024;9(4):395-405. https://doi.org/10.17073/2500-0632-2024-03-235
#Inenglish #MST #production #crushed_stone #crushing_plant #dust #concentration #emissions #dustcontrol #dust_generation #operator #workingconditions #occupationalhazards #forecasting #workerprotection #mining #safety
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We present the articles of the first issue of scientific journal "Mining Science and Technology” (Russia) for 2025:
Scientists have determined how relative air humidity affects the size of hygroscopic salt dust aerosols – a key factor in addressing ventilation challenges in potash mines. With the expansion of mining operations, the issue of fresh air shortages in mines has become critical. Traditional ventilation methods are no longer sufficient, giving way to recirculation and "ventilation on demand" systems. However, their effective operation requires a precise understanding of how salt dust behaves in a humid atmosphere. When rock is fractured, it generates NaCl and KCl aerosols, which absorb moisture, increase in size, and settle. Accurate models are needed to predict their dispersion. Researchers studied the mechanisms of hygroscopic growth, hysteresis, deliquescence, and recrystallization of salt particles. Due to the challenges of conducting experiments in mines, data on oceanic aerosols of the same composition were used. These models were adapted to mine conditions, yielding average values for the hygroscopic growth factor of salt dust. Remarkably, the particle growth dynamics in mines and over the ocean were found to be very similar! To predict changes in aerosol size, Young's model was proposed, which effectively describes the process in log-log coordinates. These findings will help improve dust condition calculations in salt and potash mines, enhancing ventilation systems and miner safety.
For more information, see the article:
📌 Chernyi K.A., Faynburg G.Z. Evaluation of variation of salt dust hygroscopic aerosol particle size as a function of relative air humidity. Mining Science and Technology (Russia). 2025;10(1):34-44. https://doi.org/10.17073/2500-0632-2024-07-283
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#InEnglish #MST #halite #sylvine #sylvinite #potashmine #saltdust #aerosolparticles #sizedistribution #hygroscopicgrowthfactor #ventilation #safety #atmosphere #dissolution #crystallization #model #humidity #NaCl #KCl #mining #particles #growth #diameter #theory #experiment #research #science #technology #dust #air #water #surface #process #data #analysis #study #results #YoungModel #speleotherapy #minerals #physics #chemistry #engineering #environment #health
Scientists have determined how relative air humidity affects the size of hygroscopic salt dust aerosols – a key factor in addressing ventilation challenges in potash mines. With the expansion of mining operations, the issue of fresh air shortages in mines has become critical. Traditional ventilation methods are no longer sufficient, giving way to recirculation and "ventilation on demand" systems. However, their effective operation requires a precise understanding of how salt dust behaves in a humid atmosphere. When rock is fractured, it generates NaCl and KCl aerosols, which absorb moisture, increase in size, and settle. Accurate models are needed to predict their dispersion. Researchers studied the mechanisms of hygroscopic growth, hysteresis, deliquescence, and recrystallization of salt particles. Due to the challenges of conducting experiments in mines, data on oceanic aerosols of the same composition were used. These models were adapted to mine conditions, yielding average values for the hygroscopic growth factor of salt dust. Remarkably, the particle growth dynamics in mines and over the ocean were found to be very similar! To predict changes in aerosol size, Young's model was proposed, which effectively describes the process in log-log coordinates. These findings will help improve dust condition calculations in salt and potash mines, enhancing ventilation systems and miner safety.
For more information, see the article:
📌 Chernyi K.A., Faynburg G.Z. Evaluation of variation of salt dust hygroscopic aerosol particle size as a function of relative air humidity. Mining Science and Technology (Russia). 2025;10(1):34-44. https://doi.org/10.17073/2500-0632-2024-07-283
Subscribe to our Telegram channel:
👉 t.iss.one/MinSciTech 👈
#InEnglish #MST #halite #sylvine #sylvinite #potashmine #saltdust #aerosolparticles #sizedistribution #hygroscopicgrowthfactor #ventilation #safety #atmosphere #dissolution #crystallization #model #humidity #NaCl #KCl #mining #particles #growth #diameter #theory #experiment #research #science #technology #dust #air #water #surface #process #data #analysis #study #results #YoungModel #speleotherapy #minerals #physics #chemistry #engineering #environment #health
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