Regional risk assessment for contaminated sites Part 3: Spatial decision support system |
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| Institution: | 1. Ocean Pollution Research Unit, Institute for the Oceans and Fisheries, University of British Columbia, AERL 2202 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada;2. Department of Biological Sciences, Simon Fraser University, 8888 University Dr., Burnaby, British Columbia V5A 1S6, Canada;3. Cowichan Estuary Restoration and Conservation Association, 1069 Khenipsen Road, Duncan, British Columbia V9L 5L3, Canada;4. School of Earth and Ocean Sciences, University of Victoria, 9882 Ring Rd, Victoria, British Columbia V8P 3E6, Canada;5. Environment and Climate Change Canada, Pacific Wildlife Research Centre, 5421 Robertson Rd, Delta, British Columbia V4K 3N2, Canada;1. Plymouth Marine Laboratory, Prospect Place, Plymouth, Devon PL1 3DH, UK;2. UiT - Arctic University of Norway, PO Box 6050, Langnes, 9037 Tromsø, Norway;3. Economics Division, University of Stirling, Stirling FK8 4LA, UK;4. School of Psychology, University of Surrey, Guildford, Surrey GU2 7XH, UK;1. Departamento de Zoología, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Concepción, Chile;2. Programa de Postgrado en Oceanografía, Departamento de Oceanografía, Universidad de Concepción, Concepción, Chile;3. Departamento de Oceanografía, Centros de Investigación Oceanográfica COPAS Sur-Austral and COPAS COASTAL, Universidad de Concepción, Concepción, Chile;4. CTPA Putemún, Departamento de Medio Ambiente, Instituto de Fomento Pesquero (IFOP), Castro, Chile;5. Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile;6. Doctorado en Sistemática y Biodiversidad, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Concepción, Chile;7. Departamento de Ecología, Facultad de Ciencias, Universidad Católica de La Santísima Concepción, Concepción, Chile;8. Instituto Milenio de Oceanografía (IMO), Universidad de Concepción, Concepción, Chile |
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| Abstract: | 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. |
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