Regional risk assessment for contaminated sites part 3: spatial decision support system.
Large scale (e.g. regional or national) assessments of contaminated sites may be very costly in terms of investigation and methodological (i.e. risk assessment procedures) requirements and may produce a quantity of information that usually discourages examination by decision-makers. Moreover, most of the existing tools effectively support local environmental risk assessment and management, but lack the capabilities of larger scale analysis, not mentioning the absence of the relevant component of socio-economic prioritization. To respond to the concerns and the management needs of experts and decision makers, the Spatial decision support sYstem for Regional rIsk Assessment of Degraded land (SYRIADE DSS) was developed and is presented according to its three modules: Regional Risk Assessment, Socio-economic Assessment and Integrated Assessment, respectively. The system allows to rank potentially contaminated sites for priority of investigation, when no information on characterization and risk by site specific methodologies is available. This GIS-based system embeds an innovative spatial and relative risk assessment procedure, and proposes the integrated analysis of different data (environmental and socio-economic) for the concerned sites, eliciting when necessary experts' knowledge and stakeholders' values (through Multi Criteria Decision Analysis, MCDA, methodologies). The application to a Polish case-study shows the performance and the flexibility of the system in investigating and mapping (potentially) contaminated sites at the regional scale.
Consorzio Venezia Ricerche, Via della Libertà 5-12, I-30175 Marghera, Venice, Italy.
Paola
P
Agostini
Lisa
L
Pizzol
Andrea
A
Critto
Marco
M
D'Alessandro
Alex
A
Zabeo
Antonio
A
Marcomini
D003657:Decision Making; D003661:Decision Support Techniques; D004784:Environmental Monitoring / Q000379:methods*; D005103:Expert Systems; D040362:Geographic Information Systems; D018570:Risk Assessment / Q000379:methods; D012984:Software; D062206:Spatial Analysis