Evaluating the contribution of geophysics to the assessment of natural hazards

Authors

  • Collins O. Molua University of Delta, Agbor

DOI:

https://doi.org/10.62292/njtep.v2i2.2024.44

Keywords:

Exploration, Geophysics, Hazard, Natural disaster, Earthquakes

Abstract

This paper discussed the role of geophysics in the evaluation of natural hazards with the view to enhancing familiarity with earth shakes, ground characteristics, landslide likelihood, and volcanic deliveries. Semantic and geophysical data were collected from seismic surveys, measurement of groundwater, electrical resistivity of the subsoil and gas emission. Seismic data analysis revealed diverse activity across sites, with magnitudes ranging from 3.234 to 6.456 Mw, emphasizing the importance of geophysical monitoring in identifying high-risk areas. Groundwater measurements indicated spatial variations in water table depth from 1.234 to 6.789 m, essential for effective resource management. Soil resistivity values ranged from 75.123 to 145.901 Ohm-m, providing insights into soil properties relevant for geotechnical and environmental studies. Landslide susceptibility assessment used the factor of slope angle, vegetation cover, and rainfall intensity; these were 10. 901° to 28. 345°, 55. 234% to 88. 456%, and 6. 789 to 20. 901 mm/hr respectively. The gas emission of SO2 ranged between 0. 123–0. 901 kg/s, that of CO2, 0. 456–1. 234 kg/s, while H2S ranged between 0. 789–1. 567 kg/s based on the emission of the several sites suitable for eruption prediction models. A statistical approach was used in which Histogram, scatter plot and radar chart were used to explain the data collected. The study conclude that the application of various geophysical methods is strikingly useful in natural hazard and risk assessment and planning and therefore beneficial in reducing disaster risks. These results provide compelling evidence about the importance of geophysics in propagating awareness in the Earth processes and improvement of hazards.

References

Attwa, M., Henaish, A., & Zamzam, S. (2019). Detection and Prediction of Geo-environmental Hazards in Urban Areas and Desert Lands Using an Integrated Structural and Geophysical Approach: Cases from Egypt. In Waste Management in MENA Regions. https://doi.org/10.1007/978-3-030-18350-9_4.

Bi, J., Yuan, H., Zhang, L., & Zhang, J. (2019). SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers⁎. Information Sciences, 481, 57-68. https://doi.org/10.1016/j.ins.2018.12.027.

Ismail-Zadeh, A. (2017). International Union of Geodesy and Geophysics (IUGG)—Integrating Natural Hazard Science with Disaster Risk Reduction Policy. In (pp. 167-172). https://doi.org/10.1007/978-3-319-59469-9_13.

Kneisel, C., Uhlemann, S., & Chambers, J. (2023). Editorial: Advances in the application of multi-dimensional geophysical surveys in Earth and environmental sciences. Frontiers in Earth Science, 11. https://doi.org/10.3389/feart.2023.1138551.

Kotha, S., Bindi, D., & Cotton, F. (2017). From Ergodic to Region- and Site-Specific Probabilistic Seismic Hazard Assessment: Method Development and Application at European and Middle Eastern Sites. EARTHQUAKE SPECTRA, 33, 1433 - 1453. https://doi.org/10.1193/081016eqs130m

Li, C., Men, B., & Yin, S. (2022). Spatiotemporal Variation of Groundwater Extraction Intensity Based on Geostatistics—Set Pair Analysis in Daxing District of Beijing, China. SUSTAINABILITY. 14: 4341. https://doi.org/10.3390/su14074341.

Li, H. (2023). Geochemistry and Petrology: Collaborative Roles in Resource Exploration and Environmental Research. In Innovation in Science and Technology. https://doi.org/10.56397/ist.2023.09.04.

Li, Y., Melo, A., Melo, A., Martinez, C., Martinez, C., Sun, J., & Sun, J. (2019). Geology differentiation: A new frontier in quantitative geophysical interpretation in mineral exploration. The Leading Edge. https://doi.org/10.1190/TLE38010060.1.

Peek, L., & Guikema, S. (2021). Interdisciplinary Theory, Methods, and Approaches for Hazards and Disaster Research: An Introduction to the Special Issue. Risk Analysis, 41, 1047-1058. https://doi.org/10.1111/risa.13777.

Segnon, M., Gupta, R., & Wilfling, B. (2023). Forecasting stock market volatility with regime-switching GARCH-MIDAS: The role of geopolitical risks. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2022.11.007.

Solórzano, J., Morante-Carballo, F., Montalvan-Burbano, N., Briones-Bitar, J., & Carrión-Mero, P. (2022). A Systematic Review of the Relationship between Geotechnics and Disasters. Sustainability. https://doi.org/10.3390/su141912835.

Tsatsaris, A., Kalogeropoulos, K., Stathopoulos, N., Louka, P., Tsanakas, K., Tsesmelis, D., Krassanakis, V., Petropoulos, G., Pappas, V., & Chalkias, C. (2021). Geoinformation Technologies in Support of Environmental Hazards Monitoring under Climate Change: An Extensive Review. ISPRS International Journal of Geo-Information, 10, 94. https://doi.org/10.3390/ijgi10020094.

Wasowski, J. (2018). New Tools and Techniques of Remote Sensing for Geologic Hazard Assessment. In Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards. https://doi.org/10.1007/978-3-030-01665-4_2.

Wu, C., Li, X., Chen, W., & Li, X. (2018). A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data. Journal of Circuits, Systems, and Computers, 29, 2030006:1-2030006:23. https://doi.org/10.1142/S0218126620300068.

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Published

2024-06-30