Assessment of noise and ground vibration induced during blasting operations in an open pit mine — A case study on Ewekoro limestone quarry, Nigeria

Afeni, Thomas Busuyi; Osasan, Stephen K

doi:10.1016/s1674-5264(09)60078-8

Cited by 30 publications

(9 citation statements)

References 5 publications

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“…Some of the works include: factors causing differentials in the shear velocities, Lithotype representation by Nuclear Magnetic Resonance (NMR) and blastability properties, investigation of allochemical and orthochemical components of the limestone formation, ground vibration and noise generated during blasting, gas generating potential and prospects, estimation of thermal conductivity, assessment of reservoir potential, isotopic elements composition and diagenesis. Others include: Organic geochemical analysis and appraisal, elemental analysis, distribution of tree oxides and groundwater composition [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] .…”

Section: Experimental Design Methods and Materialsmentioning

confidence: 99%

Geostatistical exploration of dataset assessing the heavy metal contamination in Ewekoro limestone, Southwestern Nigeria

2017

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The dataset for this article contains geostatistical analysis of heavy metals contamination from limestone samples collected from Ewekoro Formation in the eastern Dahomey basin, Ogun State Nigeria. The samples were manually collected and analysed using Microwave Plasma Atomic Absorption Spectrometer (MPAS). Analysis of the twenty different samples showed different levels of heavy metals concentration. The analysed nine elements are Arsenic, Mercury, Cadmium, Cobalt, Chromium, Nickel, Lead, Vanadium and Zinc. Descriptive statistics was used to explore the heavy metal concentrations individually. Pearson, Kendall tau and Spearman rho correlation coefficients was used to establish the relationships among the elements and the analysis of variance showed that there is a significant difference in the mean distribution of the heavy metals concentration within and between the groups of the 20 samples analysed. The dataset can provide insights into the health implications of the contaminants especially when the mean concentration levels of the heavy metals are compared with recommended regulatory limit concentration.

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Section: Experimental Design Methods and Materialsmentioning

confidence: 99%

Geostatistical exploration of dataset assessing the heavy metal contamination in Ewekoro limestone, Southwestern Nigeria

2017

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“…The energy transmitted to the rock is increased with increasing the burden, which leads to higher vibration levels. [50,51] In the present case, the trial blasts have an "infinite burden" (without a free face). This explains the fact that PPVs obtained for the production blasts tend to be a little bit smaller (by an average) in comparison with the regression line obtained from the trial blasts results.…”

Section: Attenuation Law Of the Blast Vibrationmentioning

confidence: 77%

Experimental and statistical analysis of blast-induced ground vibrations (BIGV) prediction in Senegal’s quarry

Kadiri

Tahir

Iken

et al. 2019

Studia Geotechnica Et Mechanica

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Extractive industries often use explosives to destroy rocks, and productivity requirements tend to increase the charges of the explosives. The blasts induce vibrations, which result in a potential damage of the surrounding structures. Therefore, the prediction of vibrations should be described with accuracy, in order to ensure the safety of engineered structures. However, the prediction of vibrations’ levels remain a complicated issue, because it involves numerous parameters correlated to the quarry site. In this paper, statistical analysis based on the peak particle velocity (PPV) and the attenuation law has been carried out to assess the safety charges (Q) for different distances (R) between the blast and the considered structure to secure. Moreover, the experimental investigations were conducted on the quarry site of “Sococim”, which is located on the south coast of Senegal. To ensure the safety of the “Conveyor belt” and “Panel 1 (Upper exploitation level)” sites, the PPV should be less than 10 mm/s. In fact, the attenuation model has been used to assess the safe charge weights of the explosive (Q) to be used at the “Conveyor belt” site and at the “Panel 1 (Upper exploitation level)” site. Therefore, the safe charge weights per delay (Q) were respectively 116 kg and 13.75 kg.

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“…This correlation has been recognized as Sadowskij´s empirical law [14]: 1Where f is the frequency of vibrations, R the distance between the blast and the geophones and K f a coefficient, depending on the type of soil. In Figure 10 the minimal frequencies have been plotted versus the scaled distance (distance reduced by the squared root of the minimal CPD), therefore including the two variables whose correlation has been detected by C.A., and Sadowskij´s law has been plotted as follows: (2) where d is the distance between the blast and the geophones and CPD min is the minimum CPD used in the quarry. A K f = 0.02 has been used, being valid for compact rocks, as the gypsum is.…”

Section: Temporal Complexity Analysismentioning

confidence: 99%

“…The quarry is located in a quite densely anthropic context (see Fig. 1), and vibrations induced by the blasts are therefore perceived by the local population [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Complexity analysis of blast-induced vibrations in underground mining: A case study

Cardu

Dompieri

Seccatore

2012

International Journal of Mining Science and Technology

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Blasting in geological bodies is an industrial process acting in an environment characterized by high uncertainties (natural joints, faults, voids, abrupt structural changes), which are transposed into the process parameters (e.g. energetic transfer to rock mass, hole deviations, misfires, vibrations, fly-rock...). The approach to this problem searching for the "optimum" result can be ineffective. The geological environment is marked out by too many uncertainties, to have an "optimum" suitable to different applications. Researching for "Robustness" in a blast design gives rise to much more efficiency. Robustness is the capability of the system to behave constantly under varying conditions, without leading to unexpected results. Since the geology varies from site to site, setting a robust method can grant better results in varying environments, lowering the costs and increasing benefits and safety. Complexity Analysis (C.A.) is an innovative approach to Systems. C.A. allows to analyze the Complexity of the Blast System and the criticality of each variable (drilling, charging and initiation parameters). The lower is the complexity, the more robust is the System, and the lower is the possibility of unexpected results. The paper presents the results obtained thanks to the C.A. approach in an underground gypsum quarry (Italy), exploited by conventional Rooms and Pillars method by drilling & blasting. The application of C.A. led to a reliable solution to reduce the Charge per Delay, hence reducing the impact of ground vibration on the surrounding structures. The analysis of the correlation degree between the variables allowed to recognize empirical laws as well.

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Assessment of noise and ground vibration induced during blasting operations in an open pit mine — A case study on Ewekoro limestone quarry, Nigeria

Cited by 30 publications

References 5 publications

Geostatistical exploration of dataset assessing the heavy metal contamination in Ewekoro limestone, Southwestern Nigeria

Geostatistical exploration of dataset assessing the heavy metal contamination in Ewekoro limestone, Southwestern Nigeria

Experimental and statistical analysis of blast-induced ground vibrations (BIGV) prediction in Senegal’s quarry

Complexity analysis of blast-induced vibrations in underground mining: A case study

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