Development of an Empirical Ground Motion Prediction Model for North East India and Bangladesh Region
Tanzila Tabassum,
Mehedi Ahmed Ansary
Issue:
Volume 10, Issue 4, August 2022
Pages:
96-103
Received:
24 March 2022
Accepted:
11 July 2022
Published:
29 August 2022
DOI:
10.11648/j.ijema.20221004.11
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Abstract: This article represents Ground-Motion Prediction Equations (GMPEs) for the North-East Indian region and Bangladesh derived from Indian Meteorological Department (IMD) strong motion database, following a standard regression approach. The database consists of 1608 three-component (North-South, East-West, and Vertical) time history records from 160 earthquakes having a magnitude between 2 to 8 from 2005 to 2017. The predicted ground parameters are expressed as a function of magnitude, distance (epicentral distance or hypocentral distance), and site category. The model uses a magnitude-independent shape according to geometrical spreading and anelastic attenuation for the attenuation relationships. The parametric GMPEs based on horizontal and vertical ground motions (peak ground acceleration, peak ground velocity) and spectral values (0.3 s, 1.0 s & 2.0 s.) have been developed in this study for rock, soft rock, and firm soil sites. The predictive values of horizontal and vertical components for firm soil sites are larger than those of soft rock and rock sites under the same conditions for a given earthquake event. Moreover, this study compares the effects of near-field earthquakes with far-field earthquakes and reveals that near-field earthquakes amplify more than far-field ones. This research also explains that the developed attenuation curves are depth and magnitude-independent and have no distance dependency.
Abstract: This article represents Ground-Motion Prediction Equations (GMPEs) for the North-East Indian region and Bangladesh derived from Indian Meteorological Department (IMD) strong motion database, following a standard regression approach. The database consists of 1608 three-component (North-South, East-West, and Vertical) time history records from 160 ea...
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Prediction of Noise Generated by Blast at the Hiré Gold Mine, Cote d'Ivoire
Ada Kanon Ghislain,
Gbele Ouattara,
Ndia Anon Felix
Issue:
Volume 10, Issue 4, August 2022
Pages:
104-110
Received:
30 July 2022
Accepted:
16 August 2022
Published:
29 August 2022
DOI:
10.11648/j.ijema.20221004.12
Downloads:
Views:
Abstract: In an effort to diversify its economic resources, Côte d'Ivoire has decided to exploit its mineral reserves. Industrial gold mining in Côte d'Ivoire began in 1991 with the opening of the Ity gold mine in the department of Zouan-Hounien, in the west of the country. From this date, there are ten gold mines in operation. In the department of Divo, the Hiré gold mine opened in 2013. The mine's operations consist of open-pit mining with the regular use of explosives. Based on the results of the research work coupled with those of the exploitation, the mining company requested and obtained from the State of Côte d'Ivoire the possibility of carrying out blasting two hundred and fifty meters from the first dwellings, posing the problem of controlling the nuisance linked to blasting given the proximity of the communities. The situation appears to be unprecedented in Côte d'Ivoire mining sector. Blasting is a source of nuisance, including vibrations, dust, projections and noise. Our study focused on the prediction of noise related to blasting. Our study methods consisted of determining the acoustic constant of the Hiré site from the blasting operations carried out, and predicting the value of the noise generated by the blasting operations from the said constant and from simple and easily available means.
Abstract: In an effort to diversify its economic resources, Côte d'Ivoire has decided to exploit its mineral reserves. Industrial gold mining in Côte d'Ivoire began in 1991 with the opening of the Ity gold mine in the department of Zouan-Hounien, in the west of the country. From this date, there are ten gold mines in operation. In the department of Divo, the...
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