NEW PAPER PUBLISHED ON WATER RESOURCES RESEARCH
This pa
per builds on decision scaling theory by proposing a bottom-up approach to designing optimal feedback control policies for a water system exposed to a changing climate. This approach not only describes optimal operational policies for a range of potential climatic changes, but also enables an assessment of a system’s upper limit of its operational adaptive capacity, beyond which upgrades to infrastructure become unavoidable. The approach is illustrated using the Lake Como system in Northern Italy—a regulated system with a complex relationship between climate and system performance. Read more here.
Culley, S., Noble, S., Yates, A., Timbs, M., Westra, S., Maier, H.R., Giuliani, M. and Castelletti, A. (2016), A bottom-up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate. Water Resour. Res.. Accepted Author Manuscript. doi:10.1002/2015WR018253
Our work on the impact of climate change on large storage operations has been just published on Environmental Research Letters. We explored how uncertainty in GCM models propagate through the decision-making chain, evolving over time and impacting tradeoffs in a multiobjective context. Particularly, we studied the Red River system, Vietnam. A large scale hydropower-flood control scheme comprising several large dams also use to support rice production. Read more