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Integrating SWAT and machine learning for streamflow simulation and runoff sensitivity in the Tawi watershed
Accurate streamflow simulation is essential for water resource management in data-scarce Himalayan watersheds, where hydro-climatic variability and land-use changes influence hydrological processes. This study evaluates the performance of the Soil and Water Assessment Tool (SWAT) and machine learning (ML) models, Rando...
GIS-based multi-criteria landslide susceptibility assessment in the Northwestern Himalaya, Jammu and Kashmir, India
This study presents a landslide susceptibility assessment using multiple parameters by integrating remote sensing, GIS, and field observations in the Jammu and Kashmir region. Eight contributing variables were selected for landslide susceptibility analysis: Land Use and Land Cover (LULC), proximity to roads, streams, s...