The project “Probabilistic floods and sediment transport forecasting in the Himalayas during extreme events (FLOSET)” is a research collaboration between Italian and Indian institutions funded under the Italy–India Joint Science and Technology Cooperation – Call for Joint Project Proposals 2021–2023.
The overall objective of this project is to develop robust approaches based on solid scientific evidence to improve the understanding of Himalayan hydrological behavior during extreme events, together with sediment transport dynamics. This aims to significantly expand knowledge of Himalayan hydrology in terms of rainfall–runoff modeling, flash floods, and sediment dynamics, including both suspended and coarse sediments. In these rivers, flow dynamics and associated sediment characteristics change rapidly along the river course, influenced by runoff features (including precipitation, glacial contributions, and snowmelt), geology (rock type and landscape morphology), land cover (forests, grasslands), and land management practices (agriculture) related to human activities.
Objective 1: Study the dynamics of hydrological response during extreme events through rainfall–runoff modeling and machine learning approaches.
Objective 2: Estimate uncertainty and develop a probabilistic flood forecasting system by leveraging information from multiple forecasting models.
Objective 3: Analyze sediment dynamics during extreme events using Entropy-based and machine learning approaches.
