Influence of rock properties on emission rate of Particulates Matter (Pm) during drilling operation in surface mines

IF 1 Q4 GEOSCIENCES, MULTIDISCIPLINARY
K. V. Nagesha, Harinandan Kumar, Muralidhar Munisingh
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引用次数: 0

Abstract

The mining process generates significant amount of dust in the form of particulate matters into the atmosphere. Out of different mining process, opencast mining produces more dust than that of underground mining because of exposure in the ambiance. The mining operations are directly or indirectly involved in the production of dust particles. The activities like drilling operation, Blasting and haul road operations produce fugitive dust and causes significant deterioration of mine atmosphere. This fugitive dust consists of particulate matters (PM), which are more harmful to the human respiratory system. The prevention measures is only possible when the actual prediction of emission of those fugitive dust particles are possible. There is several model that predict the emission of the dust particles, but there is very less model to predict fugitive dust produced from a drilling operation in surface mines. In this paper, study was carried out to develop dust prediction model and to assess the influence of rock properties on dust emission. Based on the results obtained the developed model exhibit close proximity of predicted as well as field measured values with a regression coefficient of 0.75. Thus, the development of the model with effective prediction capability is the novelty of this paper. Decrease in dust emission rate was observed with increased moisture content present in drill cuttings, higher compressive strength, and density.
露天矿钻井作业中岩石性质对颗粒物排放速率的影响
采矿过程会产生大量粉尘,以颗粒物的形式进入大气。在不同的开采过程中,露天开采由于暴露在环境中,产生的粉尘比地下开采多。采矿作业直接或间接地涉及粉尘颗粒的产生。钻孔作业、爆破作业、拖路作业等活动产生扬尘,造成矿井大气严重恶化。这些飘散的灰尘由颗粒物(PM)组成,对人体呼吸系统更有害。只有在能够对这些逸散性粉尘颗粒的排放进行实际预测的情况下,才有可能采取预防措施。目前已有几种预测地表矿山粉尘排放的模型,但对地表矿山钻井作业产生的粉尘进行预测的模型很少。本文开展了粉尘预测模型的建立和岩石性质对粉尘排放影响的研究。根据所得结果,所建立的模型与预测值和现场实测值接近,回归系数为0.75。因此,开发具有有效预测能力的模型是本文的新颖之处。随着钻屑含水率的增加、抗压强度和密度的提高,粉尘排放率也随之降低。
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来源期刊
Iranian Journal of Earth Sciences
Iranian Journal of Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.40
自引率
12.50%
发文量
0
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