TY  - EJOU
AU  - Kumar, Harsh 
AU  - Suman, Shilpa 
AU  - Rawat, Abhishek 
AU  - Chatterjee, Rajat Subhra 
AU  - Kumar, Dheeraj 
AU  - Chaudhary, B. S. 

TI  - A GIS Based Earthquake Hazard Pattern Identification Implementing the Local Site-Specific Parameters and the Historical Seismicity
T2  - Revue Internationale de Géomatique

PY  - 2025
VL  - 34
IS  - 1
SN  - 2116-7060

AB  - The unconsolidated soils of the Indo-Gangetic Plains (IGP) contribute significantly to the amplification of seismic damage during earthquakes. Site-specific effects play a critical role in intensifying ground motion and shaping the spatial distribution of seismic hazards. This study aims to investigate the spatial variability of seismic hazards using geophysical and geological parameters such as lithology, shear wave velocity, soil texture, basement depth, and proximity to fault lines. Training data were derived from common hazard points identified in earthquake catalogues. Several machine learning (ML) models, including Logistic Regression (LR), K-Nearest Neighbors, Random Forest, and Decision Tree, were employed to analyze the variability of seismic hazards in North Bihar. These models achieved classification accuracies of 65%, 67%, 87%, and 77%, respectively, in identifying hazard patterns. The generalized hazard map generated using the Random Forest algorithm can serve as a valuable tool for estimating the extent of seismic risk when integrated with ground motion parameters following an earthquake.
KW  - Indo-gangetic plain (IGP); seismic hazard pattern; site effects; spatial variability; machine learning

DO  - 10.32604/rig.2025.064031