Keywords

flood risk; GIS; socio-economic regional risk assessment; EWS

Location

Session D1: GIS and Environmental Modeling for Decision Support

Start Date

16-6-2014 10:40 AM

End Date

16-6-2014 12:00 PM

Abstract

According to EEA (European Environmental Agency), flood is the most dangerous natural hazard in Europe in terms of economic losses. The KULTURisk Project (EU FP7) has developed a novel methodology for evaluating the integrated benefits of risk prevention of water related natural hazards: SERRA (i.e. Socio-Economic Regional Risk Assessment). The proposed methodology enhances the traditional flood risk assessment. Several case studies across Europe allowed for the consolidation, validation, and refinement of SERRA. This paper presents the results of its application to assess the benefits derived from the installation of an Early Warning System in Vipacco river basin in Friuli Venezia Giulia (Italy). Social, economic and physical data are used to assess the total expected risk for several receptors such as economic activities, cultural heritage, people, etc. The collected socio-economic data are stored in Geographic Information System (GIS) and processed according to SERRA algorithms to produce maps of various categories of costs (beyond physical-environmental damages) in order to assist the Decision Makers (DMs) in making more informative decisions. The visualization of total risk through GIS maps allows the DMs to understand the spatial distribution of social vulnerability, risk, and associated costs.

 
Jun 16th, 10:40 AM Jun 16th, 12:00 PM

Socio-Economic Regional Risk Assessment (SERRA) application to flood risk in the Vipacco Basin (north-east Italy)

Session D1: GIS and Environmental Modeling for Decision Support

According to EEA (European Environmental Agency), flood is the most dangerous natural hazard in Europe in terms of economic losses. The KULTURisk Project (EU FP7) has developed a novel methodology for evaluating the integrated benefits of risk prevention of water related natural hazards: SERRA (i.e. Socio-Economic Regional Risk Assessment). The proposed methodology enhances the traditional flood risk assessment. Several case studies across Europe allowed for the consolidation, validation, and refinement of SERRA. This paper presents the results of its application to assess the benefits derived from the installation of an Early Warning System in Vipacco river basin in Friuli Venezia Giulia (Italy). Social, economic and physical data are used to assess the total expected risk for several receptors such as economic activities, cultural heritage, people, etc. The collected socio-economic data are stored in Geographic Information System (GIS) and processed according to SERRA algorithms to produce maps of various categories of costs (beyond physical-environmental damages) in order to assist the Decision Makers (DMs) in making more informative decisions. The visualization of total risk through GIS maps allows the DMs to understand the spatial distribution of social vulnerability, risk, and associated costs.