EARTHQUAKE FORECASTING AND RISK MODELING USING MACHINE LEARNING APPROACHES BASED ON LOCATION IN JAPAN
Maqola haqida umumiy ma'lumotlar
This study analyzes earthquake risk in Japan based on the spatial and temporal distribution of earthquakes from 2001 to 2018. The earthquake dataset containing information on over 12,000 earthquakes in this 18-year time period is used to examine patterns in earthquake frequency, magnitude, and location. Spatial analysis is performed to identify areas of highest seismic activity and risk. The findings reveal specific regions of Japan that are particularly prone to earthquakes of varying magnitudes. The relationships between earthquake characteristics and the geophysical features of the Japanese archipelago are explored. This study provides an in-depth assessment of seismic hazard and risk at the national scale based on a comprehensive dataset of recent earthquakes in Japan.
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Berdiev, R. U. (2023). EARTHQUAKE FORECASTING AND RISK MODELING USING MACHINE LEARNING APPROACHES BASED ON LOCATION IN JAPAN. Academic Research in Educational Sciences, 4(3), 515–521. https://doi.org/
Berdiev, Ruslan. “EARTHQUAKE FORECASTING AND RISK MODELING USING MACHINE LEARNING APPROACHES BASED ON LOCATION IN JAPAN.” Academic Research in Educational Sciences, vol. 3, no. 4, 2023, pp. 515–521, https://doi.org/.
Berdiev, U. 2023. EARTHQUAKE FORECASTING AND RISK MODELING USING MACHINE LEARNING APPROACHES BASED ON LOCATION IN JAPAN. Academic Research in Educational Sciences. 3(4), pp.515–521.