IMPREX General Assembly
The 1st General Assembly of the IMPREX project is hosted by the Technical University of Crete in Chania on September 26-28, 2016.
Category Archives: Uncategorized
Monitoring river sediment grain sizes with our new drone!
Last week-end we tested our new drone for monitoring river sediment grain sizes on two North Italian rivers. Together with Dr. Patrice Carbonneau we are developing a new methodology for mapping river grain size distribution automatically by drone image acquisition as part of the Amber project.
M3O has been released and published
We just released a MATLAB toolbox to design the operations of multipurpose water reservoirs with state-of-the-art algorithms including Deterministic and Stochastic Dynamic Programming, Implicit Stochastic Optimization, Sampling Stochastic Dynamic Programming, fitted Q-iteration, Evolutionary Multi-Objective Direct Policy Search, and Model Predictive Control. The toolbox is designed to be accessible to practitioners, researchers, and students, and to provide a fully commented and customizable code for more experienced users. The toolbox can be downloaded here, while a full description of the toolbox functionalities has been published on Environmental Modelling and Software and can be accessed here.
M. Giuliani, Y. Li, A. Cominola, S. Denaro, E. Mason, A. Castelletti, A Matlab toolbox for designing Multi-Objective Optimal Operations of water reservoir systems, Environmental Modelling & Software, Volume 85, November 2016, Pages 293-298, ISSN 1364-8152, http://dx.doi.org/10.1016/j.envsoft.2016.08.015.
New paper on coupled human-natural systems modelling
We published a new paper on Water Resources Research about coupling natural and human systems to model agricultural systems evolutions under change. We contribute a novel modeling approach to study the coevolution of irrigated agriculture under changing climate, advancing the representation of the human component within agricultural systems by using normative meta-models to describe the behaviors of groups of farmers or institutional decisions. These behavioral models, validated against observational data, are then integrated into a coupled human-natural system simulation model to better represent both systems and their coevolution under future changing climate conditions, assuming the adoption of different policy adaptation options, such as cultivating less water demanding crops. The approach was demonstrated on the Lake Como systems. More here
Giuliani, M., Li, Y., Castelletti, A. and Gandolfi, C. (2016), A coupled human-natural systems analysis of irrigated agriculture under changing climate. Water Resour. Res.. Accepted Author Manuscript. doi:10.1002/2016WR019363