Assessment of precipitation extremes and risk factors in the Himalayan foothills: a machine learning approach for hydro-meteorological hazard analysis

Key Points

• 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.