Articles

Surface modelling by geoid determination for flood control of Ewekoro limestone deposit (Nigeria)

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Content №5 2021

Last Updated on 29 October 2021

Published on 30 November -0001

Hits: 5069

Authors:

A.P.Akinola, orcid.org/0000-0002-4706-2124, Department of Mining Engineering, University of Jos, Jos, Nigeria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

T.B.Afeni, orcid.org/0000-0001-8216-8007, Department of Mining Engineering, Federal University of Technology Akure, Akure, Nigeria

R.A.Osemenam, orcid.org/0000-0002-6808-6141, Department of Mining Engineering, Federal University of Technology Akure, Akure, Nigeria

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (5): 022 - 029

https://doi.org/10.33271/nvngu/2021-5/022

Abstract:

Purpose. To determine the geoid heights from various control points of the quarry located in the northern and southern zones of the limestone deposit of the Lafarge WAPCO Cement Ewekoro in Ogun State, Nigeria.

Methodology. The GPS and levelling data were used to determine the geoid heights from various control points of the quarry located in the northern and southern zones of the limestone deposit. The geoid heights obtained from GPS-Levelling data were used for three surface models which are polynomial regression model, inverse distance model and nearest neighbour model. These models were used to crossvalidate the geoid heights for the control points.

Findings. The result shows that the deviations of the geoid heights for the GPS/Levelling and models are between 0.03 and 0.01m respectively. The models were used to generate contour maps that reveal the better location where the flood can be channelled.

Originality. The results can be compared to the data obtainable during operations carried out in the quarry.

Practical value. The flood in the quarry face will be better controlled by creating a sump at the lowest point on the elevation maps and controlled drilling to give better aeration.

Keywords: Limestone deposit, GPS-levelling, geoid height, surface models, flood control

References.

1. Leavitt, B.R. (1999). Mine flooding and barrier pillar hydrology in the Pittsburgh basin. Sixteenth annual international Pittsburgh Coal Conference, 31(36), 31042017. Retrieved from https://inis.iaea.org/search/search.aspx?orig_q=RN:31042017.

2. Reigber, C., Balmino, G., Schwintzer, P., Biancale, R., Bode, A., Lemoine, J.-M., & Zhu, S.Y. (2002). A high-quality global gravity field model from CHAMP GPS tracking data and accelerometry (EIGEN-1S). Geophysical Research Letters, 29(14), 37.1-37.4. https://doi.org/10.1029/2002gl015064.

3. Abdalla, K.A. (2005). Unification of the Georeferencing Systems of GIS Spatial Data Infrastructure. Proceedings of Map Middle East Conference, 1-11. Retrieved from https://www.researchgate.net/publication/330500573.

4. Reigber, Ch., Jochmann, H., & Wunsch, J. (2004). Earth Gravity Field and Seasonal Variability from CHAMP. Earth Observation with CHAMP, 25-30. https://doi.org/10.1007/3-540-26800-6_4.

5. Skrypnyk, O., Shapar, A., & Taranenko, O. (2020). Determining local wetness conditions within the mined lands using GIS. Mining of Mineral Deposits, 14(4), 53-58. https://doi.org/10.33271/mining14.04.053.

6. Kiamehr, R. (2001). Potential of the Iranian Geoid For GPS/Leveling. Proc National Cartographic Center of Iran, Geomatics, 1-10. Retrieved from https://www.academia.edu/714927.

7. Algarni, D.A. (1997). Geoid Modeling in Saudi Arabia. ITC Journal, (2), 114-120.

8. Reigber, C., Schwintzer, P., Neumayer, K.-H., Barthelmes, F., Knig, R., Frste, C., & Fayard, T. (2003). The CHAMP-only earth gravity field model EIGEN-2. Advances in Space Research, 31(8), 1883-1888. https://doi.org/10.1016/s0273-1177(03)00162-5.

9. Akeju, V.O., & Afeni, T.B. (2015). Investigation of the spatial variability in Oyo-Iwa limestone deposit for quality control. Journal of Engineering Science and Technology, 10(8), 1065-1085.

10. McClusky, S., Balassanian, S., Barka, A., Demir, C., Ergintav, S., Georgiev, I., & Veis, G. (2000). Global Positioning System constraints on plate kinematics and dynamics in the eastern Mediterranean and Caucasus. Journal of Geophysical Research: Solid Earth, 105(3), 5695-5719. https://doi.org/10.1029/1999jb900351.

11. Watson, C.S., & Coleman, R. (1998). The Batman Bridge: structural monitoring using GPS. Advances in GPS Deformation Monitoring, 8. Retrieved from http://ecite.utas.edu.au/14264.

12. elebi, M., Prescott, W., Stein, R., Hudnut, K., Behr, J., & Wilson, S. (1999). GPS Monitoring of Dynamic Behavior of Long-Period Structures. Earthquake Spectra, 15(1), 55-66. https://doi.org/10.1193/1.1586028.

13. Dvorak, J.J. (1992). Tracking the movement of Hawaiian volcanoes; Global Positioning System (GPS) measurement. Earthquakes & Volcanoes (USGS), 23(6), 255-267. Retrieved from https://pubs.usgs.gov/unnumbered/70039050/report.pdf.

14. Murray, M., Baxter, R., Karavas, B., & Burgmann, R. (1999). Permanent GPS network: Bay area regional deformation array. Annual Report, Berkeley CA, USA. Retrieved from https://seismo.berkeley.edu/annual_report/ar97_98/node7.html.

15. Kajzar, V. (2018). Geodetic and seismological observations applied for investigation of subsidence formation in the CSM mine. Mining of Mineral Deposits, 12(2), 34-46. https://doi.org/10.15407/mining12.02.034.

16. Fotopoulos, G. (2005). Calibration of geoid error models via a combined adjustment of ellipsoidal, orthometric and gravimetric geoid height data. Journal of Geodesy, 79(1-3), 111-123. https://doi.org/10.1007/s00190-005-0449-y.

17. Corchete, V., Chourak, M., & Khattach, D. (2005). The high-resolution gravimetric geoid of Iberia: IGG2005. Geophysical Journal International, 162(3), 676-684. https://doi.org/10.1111/j.1365-246x.2005.02690.x.

• < Prev
• Next >