Authors :
Okeke Sunday Okechukwu; Okonkwo Churchill Chukwunonso
Volume/Issue :
Volume 11 - 2026, Issue 6 - June
Google Scholar :
https://tinyurl.com/yub5xrz5
Scribd :
https://tinyurl.com/2jnc97ky
DOI :
https://doi.org/10.38124/ijisrt/26jun868
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
while temporal analyses indicate clustering of moderate-tolarge events consistent with stress accumulation cycles. Probabilistic seismic hazard assessment, fault-slip modeling, and
geophysical inversion were employed to quantify ground-motion likelihood, stress transfer, and strain accumulation, with
calibration against observed PGA demonstrating residuals below 0.02 g and error percentages of 3.4–5.6%. The results
confirm that high-density seismic clusters coincide with regions of elevated geodetic strain, emphasizing the utility of
combining catalog and satellite datasets for hazard mapping. This integrated framework enhances reproducibility, provides
global coverage, and supports hazard mitigation planning, early-warning system development, and geophysical monitoring.
Keywords :
Seismic Hazard; Earthquake Catalogs; Satellite Geodesy; InSAR; Gutenberg-Richter Law; Kernel Density Estimation; Probabilistic Seismic Hazard Assessment.
References :
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- Scholz, C. H. (2015). The Mechanics of Earthquakes and Faulting (3rd ed.). Cambridge University Press.
- Utsu, T., Ogata, Y., & Matsuura, R. S. (1995). The centenary of the Omori formula for a decay law of aftershock activity. Journal of Physics of the Earth, 43, 1–33.
- USGS. (2025). USGS earthquake catalog and hazard data. https://www.usgs.gov
- Wiemer, S., & Wyss, M. (2000). Minimum magnitude of completeness in earthquake catalogs. Bulletin of the Seismological Society of America, 90(4), 859–869.
- ESA. (2023). Sentinel-1 and ASTER data products. https://www.esa.int
- Tapley, B. D., Bettadpur, S., Ries, J. C., Thompson, P. F., & Watkins, M. M. (2004). GRACE measurements of mass variability in the Earth system. Science, 305(5683), 503–505.
while temporal analyses indicate clustering of moderate-tolarge events consistent with stress accumulation cycles. Probabilistic seismic hazard assessment, fault-slip modeling, and
geophysical inversion were employed to quantify ground-motion likelihood, stress transfer, and strain accumulation, with
calibration against observed PGA demonstrating residuals below 0.02 g and error percentages of 3.4–5.6%. The results
confirm that high-density seismic clusters coincide with regions of elevated geodetic strain, emphasizing the utility of
combining catalog and satellite datasets for hazard mapping. This integrated framework enhances reproducibility, provides
global coverage, and supports hazard mitigation planning, early-warning system development, and geophysical monitoring.
Keywords :
Seismic Hazard; Earthquake Catalogs; Satellite Geodesy; InSAR; Gutenberg-Richter Law; Kernel Density Estimation; Probabilistic Seismic Hazard Assessment.
