Recent hydrological extreme events demonstrate the vulnerability of European society to water-related natural hazards, and there is strong evidence that climate change will worsen these events. An improved forecasting through better prediction of drivers of this type of events is urgently needed to appropriately inform science-based risk management strategies and adaptation options. Such enhancement in our forecast capability will increase the resilience of the European society as a whole, while reducing costs for strategic sectors and regions.
In this context, IMPREX is designed to support the reduction of Europe’s vulnerability to extreme hydrological events through improved understanding of the intensity and frequency of future disrupting features that may be very different from today’s reality. By combining expertise from both public and private sector, the IMPREX project consortium aims to bridge the gap that often exists between users and providers of hydro-climatic information. The goal is to substantially improve our forecasting capability of hydrological extremes and their impacts at short to seasonal time scales.
December 10th, 2014, Wednesday, at 4:30 p.m. in room V2.12, Politecnico di Milano – Como Campus.
Improving hydropower reservoir operation by using snow-related information
Quentin Desreumaux PhD. Candidate, University of Sherbrooke, Canada
The Rio Tinto Alcan company operates a large aluminum plant in Northern British Columbia, Canada. This location has been chosen because of the large hydropower capacity available. However, this system is quite challenging to manage due to its particular location. The hydrology mainly piloted by snow, the flood management or the fish preservation are just a part of the constraints the operators have to deal with. To help them, an optimization tool have been recently developed. After a complete overview of this real case problem, we will discuss the modeling of the problem. We will also focus on the inclusion of different hydrological information and on the effectiveness of the management policy provided by each of this exogenous variable. As a result, an information based on the snow cover leads to the best policies in a multi-objective framework
Quentin Desreumaux is a PhD student at The University of Sherbrooke, Canada. His works focus mainly on the value of hydrological and climatic information on reservoir operations.
November 13th, 2014, Thursday, at 2:00 p.m. in Palazzo Natta, Politecnico di Milano – Como Campus.
Behavioural methods for environmental economics
Giovanna d’Adda, Department of Management, Economics and Industrial Engineering, Politecnico di Milano
Behavioral economics is increasingly used to inform public policy and foster socially desirable outcomes. The seminar gives a brief overview of the main behavioral drivers of individual decisions, and focuses specifically on applications to the energy sector. Lines for future research in the field are discussed, including the role of information, feedback, social norms, and leadership.
Giovanna d’Adda obtained her PhD in Economics from Università Bocconi, with a thesis on the conservation of natural resources in developing countries. Her research focuses on the effect of social norms, leadership and non-monetary incentives on individual behavior, more particularly in the field of ethics and environment protection. She has a collaboration with Politecnico di Milano in the context of COBHAM research project (The role of consumer behaviour and heterogeneity in the integrated assessment of energy and climate policies), led by Massimo Tavoni.
The first meeting of the Strada 2.0 Project with the stakeholders took place in Bellinzona on October 29th, 2014. The meeting involved the environment and fishing sectors of the Lake Verbano and Lake Ceresio system.
The Strada 2.0 Project is a follow-up of the previous STRADA-Verbace Project, aimed to the realization of a online monitoring system of the effects of lake Maggiore and lake Lugano management.