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Dive into the research topics where Durga Charan Panigrahi is active.

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Featured researches published by Durga Charan Panigrahi.


Journal of Environmental Radioactivity | 2013

Radon emanation from low-grade uranium ore

Patitapaban Sahu; Devi Prasad Mishra; Durga Charan Panigrahi; V.N. Jha; R. Lokeswara Patnaik

Estimation of radon emanation in uranium mines is given top priority to minimize the risk of inhalation exposure due to short-lived radon progeny. This paper describes the radon emanation studies conducted in the laboratory as well as inside an operating underground uranium mine at Jaduguda, India. Some of the important parameters, such as grade/(226)Ra activity, moisture content, bulk density, porosity and emanation fraction of ore, governing the migration of radon through the ore were determined. Emanation from the ore samples in terms of emanation rate and emanation fraction was measured in the laboratory under airtight condition in glass jar. The in situ radon emanation rate inside the mine was measured from drill holes made in the ore body. The in situ(222)Rn emanation rate from the mine walls varied in the range of 0.22-51.84 × 10(-3) Bq m(-2) s(-1) with the geometric mean of 8.68 × 10(-3) Bq m(-2) s(-1). A significant positive linear correlation (r = 0.99, p < 0.001) between in situ(222)Rn emanation rate and the ore grade was observed. The emanation fraction of the ore samples, which varied in the range of 0.004-0.089 with mean value of 0.025 ± 0.02, showed poor correlation with ore grade and porosity. Empirical relationships between radon emanation rate and the ore grade/(226)Ra were also established for quick prediction of radon emanation rate from the ore body.


Journal of Environmental Radioactivity | 2015

An improved mathematical model for prediction of air quantity to minimise radiation levels in underground uranium mines

Durga Charan Panigrahi; Patitapaban Sahu; Devi Prasad Mishra

Ventilation is the primary means of controlling radon and its daughter concentrations in an underground uranium mine environment. Therefore, prediction of air quantity is the vital component for planning and designing of ventilation systems to minimise the radiation exposure of miners in underground uranium mines. This paper comprehensively describes the derivation and verification of an improved mathematical model for prediction of air quantity, based on the growth of radon daughters in terms of potential alpha energy concentration (PAEC), to reduce the radiation levels in uranium mines. The model also explains the prediction of air quantity depending upon the quality of intake air to the stopes. This model can be used to evaluate the contribution of different sources to radon concentration in mine atmosphere based on the measurements of radon emanation and exhalation. Moreover, a mathematical relationship has been established for quick prediction of air quantity to achieve the desired radon daughter concentration in the mines.


Environmental Earth Sciences | 2016

A comprehensive review on sources of radon and factors affecting radon concentration in underground uranium mines

Patitapaban Sahu; Durga Charan Panigrahi; Devi Prasad Mishra

This paper presents an extensive literature review on the various sources of radon such as ore body, backfill mill tailings, broken ore and mine water in underground uranium mines. This review also comprehensively investigates the influence of intrinsic factors such as ore grade, 226Ra content, water content, porosity and surface area of the materials and the extrinsic factors such as barometric pressure, temperature and ventilation on radon concentration in uranium mines. The objectives of this review are to identify the major sources of radon and the parameters significantly affecting radon concentration in underground uranium mine environment. The review demonstrated that backfill mill tailings are the major source of radon in underground uranium mines. A comparison of radon exhalation rates of different rock types and backfill tailings revealed that porosity has more pronounced effect on radon exhalation process than the ore grade/226Ra content of the materials. The radon exhalation rate from the moist materials is comparatively higher than the dry and saturated tailings. Reduction of barometric pressure in mine environment increases the radon exhalation rate from porous rocks, backfill mill tailings and broken ore piles. The contribution of mine water on radon contamination of mine atmosphere mainly depends on the dissolved radon content and flow rate of water. The current knowledge of the factors affecting radon exhalation process has also been reviewed in this paper.


International Journal of Coal Geology | 2009

An empirical approach for classification of coal seams with respect to the spontaneous heating susceptibility of Indian coals

H.B. Sahu; S.S. Mahapatra; Durga Charan Panigrahi


Journal of Environmental Radioactivity | 2014

Radon emanation from backfilled mill tailings in underground uranium mine.

Patitapaban Sahu; Devi Prasad Mishra; Durga Charan Panigrahi; Vivekananda Jha; R. Lokeswara Patnaik; Narendra Kumar Sethy


Fuel Processing Technology | 2012

Fuzzy c-means clustering approach for classification of Indian coal seams with respect to their spontaneous combustion susceptibility

H.B. Sahu; S.S. Mahapatra; Durga Charan Panigrahi


Environmental Science and Pollution Research | 2014

Assessment of (222)Rn emanation from ore body and backfill tailings in low-grade underground uranium mine.

Devi Prasad Mishra; Patitapaban Sahu; Durga Charan Panigrahi; V.N. Jha; R. Lokeswara Patnaik


Journal of Sustainable Mining | 2014

Sources of Radon and its Measurement Techniques in Underground Uranium Mines – An Overview

Patitapaban Sahu; Durga Charan Panigrahi; Devi Prasad Mishra


Journal of Radioanalytical and Nuclear Chemistry | 2014

Evaluation of effect of ventilation on radon concentration and occupational exposure to radon daughters in low ore grade underground uranium mine

Patitapaban Sahu; Durga Charan Panigrahi; Devi Prasad Mishra


Fuel Processing Technology | 2011

A discrete particle swarm optimization approach for classification of Indian coal seams with respect to their spontaneous combustion susceptibility

H.B. Sahu; S.S. Mahapatra; K. Sirikasemsuk; Durga Charan Panigrahi

Collaboration


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R. Lokeswara Patnaik

Bhabha Atomic Research Centre

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V.N. Jha

Bhabha Atomic Research Centre

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Narendra Kumar Sethy

Bhabha Atomic Research Centre

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R. Lokeswar Patnaik

Bhabha Atomic Research Centre

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Vivekananda Jha

Bhabha Atomic Research Centre

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