Balancing Energy, Irrigation, and Environmental Demands in the Zambezi Watercourse: Operations and Sequencing of New Dams

The competition for water, energy, and food is intensifying, and this is happening at a time when society is increasingly aware of the environmental trade-offs involved in building more dams. The EI lab led a study in collaboration with Delft University of Technology published in Earth’s Future in which a new optimization Read more…

Model Predictive Control of Water Resources Systems: A Review and Research Agenda

The eiLab led a study in collaboration with Technische Universität Berlin, Einstein Center Digital Future, Delft University of Technology, University of Melbourne, TU Dortmund University, Universitat Politècnica de Catalunya – BarcelonaTECH, and University of Seville, to carried out a systematic review on Model Predictive Control (MPC) and its recently gained increasing interest in Read more…

Climate Change Awareness, Perceived Impacts, and Adaptation from Farmers’ Experience and Behavior: a Triple-Loop Review

The eiLab carried out a systematic review to identify the current research trends and set the future research agenda on climate change awareness, perceived impacts and adaptive capacity from farmers’ experiences and behavior.  Individuals and communities socially construct risk, and societies with greater risk perception may be more apt to Read more…

Tropical Cyclone Genesis Potential Indices in a New High-Resolution Climate Models Ensemble: Limitations and Way Forward

The eiLab participates in a study in collaboration with colleagues from the Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, to address the questions of whether Genesis Potential Indices (GPIs) are still relevant in the era of Tropical Cyclones-permitting climate model ensembles, and whether they have sufficient predictive skills.  Tropical Cyclones (TC) are extreme Read more…

Balancing Sediment Connectivity and Energy Production via Optimized Reservoir Sediment Management Strategies

The eiLab led a study in collaboration with colleagues from the University of Padova and Stanford University, to develop a sediment routing model (D-CASCADE) able to assess the impacts of reservoirs and their management strategies on river sediment connectivity.  Trade-offs between hydropower generation and sediment connectivity across cascades of multiple Read more…