DISASTER RISK SENDAI FRAMEWORK COUNTRIES & REGIONS THEMES HAZARDS RESOURCES
Subscriptions: RSSEmail

Switzerland

Understanding and predicting snow behavior

1 Mar 2017, PhysOrg

Engineers from the University of Luxembourg are working to better analyse the mechanical properties of snow. The project aims to develop a computer model that can help solving typical snow-related engineering problems. The model could be used to anticipate avalanches or to determine the load on buildings caused by snow by predicting the behaviour of snow.


    Sendai Framework
  • Sendai Focal Point:
    Swiss National Platform for Natural Hazards, PLANAT (PLANAT)
  • Website: http://www.planat.ch/en/home/
  • Contact:Managing Director
  • Phone:+41 584 641 781 +41 791 725 405


  • National Platform
  • National Platform Focal Point:
    Swiss National Platform for Natural Hazards, PLANAT (PLANAT)
  • Website: http://www.planat.ch/en/home/
  • Contact:Managing Director
  • Phone:+41 584 641 781 +41 791 725 405


  • Hyogo Framework for Action
  • HFA Focal Point:
    Swiss National Platform for Natural Hazards, PLANAT (PLANAT)
  • Website: http://www.planat.ch/en/home/
  • Contact:Managing Director
  • Phone:+41 584 641 781 +41 791 725 405


Create your own view of country national HFA progress by selecting, sorting and comparing the data and information you wish to see. View it online or download a spreadsheet.

Officially declared national coordinating multi-sectoral and inter-disciplinary mechanisms for advocacy, coordination, analysis and advice on disaster risk reduction.