This paper aims at the exploration of the questions connected with the effects of uncertainty and risk in agriculture and, generally, in each economic sector where risk considerations are established. The aim of the first part is to give the key features for the estimation of production structures using dual approach and risk prevalence. In order to state risk non-neutrality into the implemente...

The EU-sponsored EnerGEO project aims at providing decision makers with a modelling platform to assess the environmental impacts of different sources of renewable energy. One of the pillars of the project is the Wind Energy Pilot, addressing the effects of offshore wind parks on air pollution and energy use. The methods used in the pilot and the underlying environmental databases are integrated...

Introduction Conclusions References

U nderstanding and mitigating the effects of disasters requires the integration of research and practice in multiple science, engineering, technology, and social science fields to create a world that’s more resilient in terms of public safety, economic strength, and collective welfare. The January/February 2011 issue of CiSE explored hurricane prediction.1 Hurricanes are one of many natural dis...

Introduction Conclusions References Tables Figures

Introduction Conclusions References

The conventional approach to detecting and attributing climate change impacts on extreme weather events is generally based on frequentist statistical inference wherein a null hypothesis of no influence is assumed, and the alternative hypothesis of an influence is accepted only when the null hypothesis can be rejected at a sufficiently high (e.g., 95% or Bp = 0.05^) level of confidence. Using a ...

in the paper a model to predict the concentrations of particulate matter pm10, pm2.5, so2, no, co and o3 for a chosen number of hours forward is proposed. the method requires historical data for a large number of points in time, particularly weather forecast data, actual weather data and pollution data. the idea is that by matching forecast data with similar forecast data in the historical data...