Determination of the emission rate from various opencast mining operations

Chakraborty, Manash; Ahmad, Malik M.; Singh, R. B.; Pal, Dulal; Bandopadhyay, C.; Chaulya, S.K.

doi:10.1016/s1364-8152(02)00010-5

Cited by 73 publications

(39 citation statements)

References 7 publications

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“…The most important parameters for air quality within the area of active surface mines are total suspended particles (TSP) and particles with an aerodynamic diameter smaller than 10 µm (PM10) [2][3][4]. Dispersion of (airborn) dust is related to all unit operations of surface mining systems [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Dust and Noise Environmental Impact Assessment and Control in Serbian Mining Practice

et al. 2018

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This paper presents an approach to dust and noise environmental impact assessment and control in Serbian mine planning theory and practice. Mine planning defines the model of mining operations, production and processing rates, and ore excavation and dumping scheduling, including spatial positioning for all these activities. The planning process then needs to assess the impact of these mining activities on environmental quality. This task can be successfully completed with contemporary models for assessment of suspended particles dispersion and noise propagation. In addition to that, this approach enables verification of the efficiency of suggested protection measures for reduction or elimination of identified impact. A case study of dust and noise management at the Bor copper mine is presented, including the analysis of the efficiency of planned protection measures from dust and noise, within long-term mine planning at the Veliki Krivelj and Cerovo open pits of the Bor copper mine.

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Section: Introductionmentioning

confidence: 99%

“…Dispersion of (airborn) dust is related to all unit operations of surface mining systems [3][4][5][6]. It has been established that air dispersion of TSP and PM10 relates to meteorological conditions, besides the technological ones [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Dust and Noise Environmental Impact Assessment and Control in Serbian Mining Practice

et al. 2018

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“…Since suitability of emission factor had to be examined, therefore, one high polluting season and another less polluting season were considered for data collection at this project. Winter season being the worst possible scenario of air pollution, Chakraborty et al [16] studied emission rates for various mining activities only in this season. Chaulya [18] also observed maximum particulate matter concentrations in winter.…”

Section: Methodsmentioning

confidence: 99%

“…Chakraborty et al [16] developed emission rates for various surface coal mining activities except blasting. Ghose [17] calculated emission factors for different operations of the surface coal mine but he has not reported dust emission for blasting.…”

Section: Emission Factors For Indian Minesmentioning

confidence: 99%

Development of Emission Factors for Quantification of Blasting Dust at Surface

Roy¹,

Adhikari²,

Singh³

2010

JEP

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“…PM generated during mining operations at the workplace (called "bench") disperses in the mine by moving to several benches and contributes to the enhanced concentration at different parts of the mine . However, only a few studies have reported detail information about generation, estimation and contribution of PM during mining operations (Marrugo-Negrete et al 2014;Zhang et al 2013;Chakraborty et al Citation details: Patra, A., Gautam, S., Majumdar, S., . Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model.…”

Section: Introductionmentioning

confidence: 99%

Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model

Patra

Gautam

Majumdar

et al. 2015

Air Qual Atmos Health

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Springer Science+Business Media Dordrecht Particulate matter (PM) is a major pollutant in and around opencast mine areas. The problem of degradation of air quality due to opencast mine is more severe than those in underground mine. Prediction of dust concentration must be known to implement control strategies and techniques to control air quality degradation in the workplace environment. Limited studies have reported the dispersion profile and travel time of PM between the benches inside the mine. In this paper, PM concentration has been measured and modeled in Malanjkhand Copper Project (MCP), which is one of the deepest opencast copper mines in India. Meteorological parameters (wind speed, temperature, relative humidity) and PM concentration in seven size ranges (i.e., PM0.23–0.3, PM0.3–0.4, PM0.4–0.5, PM0.5–0.65, PM0.65–0.8, PM0.8–1, and PM1–1.6) have been measured for 8 days. The results of the field study provide an understanding of the dispersion of the PM generated due to mining activities. This research work presents an approach to assess the exposure of enhanced level of PM concentration on mine workers and its variation with depth. The correlations study shows that concentration of PM during its travel from source to surface is associated with depth. Empirical equations are developed to represent relationships between concentrations of PM and depth. Artificial neural network (ANN) model showing the relationship between PM concentration and meteorological parameters has been developed. The performance of the ANN model is evaluated in terms of the correlation coefficient between the real and the forecasted data. The results show strong agreement between the experimental data and the modeled output. The findings of this work are important in understanding fine PM variation inside the mine at the workplace and the associated exposure of mine workers

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Determination of the emission rate from various opencast mining operations

Cited by 73 publications

References 7 publications

Dust and Noise Environmental Impact Assessment and Control in Serbian Mining Practice

Dust and Noise Environmental Impact Assessment and Control in Serbian Mining Practice

Development of Emission Factors for Quantification of Blasting Dust at Surface

Prediction of particulate matter concentration profile in an opencast copper mine in India using an artificial neural network model

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