Seismic Intensity Distribution

Seismic intensity distribution research focuses on accurately predicting the spatial variation of ground shaking intensity following an earthquake, crucial for effective disaster mitigation. Current research emphasizes developing advanced predictive models, particularly hybrid classification-regression approaches and neural networks, often treating intensity distributions as two-dimensional data analogous to images, to overcome limitations of traditional methods, especially in predicting complex, "abnormal" distributions influenced by subsurface geology. Improved prediction accuracy through these models offers significant potential for enhancing earthquake early warning systems and improving risk assessments, ultimately leading to better preparedness and reduced loss of life and property.