Assessment of precipitation extremes and risk factors in the Himalayan foothills: a machine learning approach for hydro-meteorological hazard analysis | Synapse
March 3, 2026
Assessment of precipitation extremes and risk factors in the Himalayan foothills: a machine learning approach for hydro-meteorological hazard analysis
Puntos clave
Precipitation extremes increased in the Himalayan foothills, indicating a growing risk of hydro-meteorological hazards.
Analysis revealed that machine learning models effectively predicted hydro-meteorological hazard risks based on climate variables.
Spatial analysis incorporated risk factors like topography and land use, enhancing the understanding of local hazard vulnerabilities.
Findings support the need for better risk assessment models to improve disaster management in mountainous regions.