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Regional risk assessment for contaminated sites Part 2: Ranking of potentially contaminated sites
Institution:1. Brownfield Research and Innovation Centre (BRIC), University of Wolverhampton, WV10 0JP, United Kingdom;2. Centre for Architecture and Built Environment Research (CABER), University of the West of England, Bristol BS16 1QY, United Kingdom;3. Faculty of Engineering and Environment, Northumbria University, Newcastle-upon-Tyne, NE1 8ST, United Kingdom;1. BRGM, F-45060 Orléans Cedex 2, France;2. GreenDecision S.r.l., Via delle industrie 21/8, 30175 Marghera, VE, Italy;3. University Ca'' Foscari Venice, Department of Environmental Sciences, Informatics and Statistics, Via Torino 155, 30170 Mestre, VE, Italy;4. BRGM, F-69626 Villeurbanne Cedex, France;5. USEPA, 26 West Martin Luther King, Cincinnati, OH 45268, United States;6. BRGM, F-44323 Nantes Cedex 3, France;7. Institute of Geonics of the Czech Academy of Sciences, Department of Environmental Geography, Studentska 1768, 708 00 Ostrava, Czech Republic;8. Institute of Geonics of the Czech Academy of Sciences, Department of Environmental Geography, Drobneho 28, 613 00 Brno, Czech Republic;9. UFZ – Helmholtz Centre for Environmental Research, Department of Economics, Permoserstr. 15, 04318 Leipzig, Germany;1. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China;2. College of Water Sciences, Beijing Normal University, Beijing 100875, China;3. University Ca'' Foscari Venice, Department of Environmental Sciences, Informatics and Statistics, Calle Larga S. Marta 2137, 30123 Venice, Italy
Abstract:Environmental risks are traditionally assessed and presented in non spatial ways although the heterogeneity of the contaminants spatial distributions, the spatial positions and relations between receptors and stressors, as well as the spatial distribution of the variables involved in the risk assessment, strongly influence exposure estimations and hence risks. Taking into account spatial variability is increasingly being recognized as a further and essential step in sound exposure and risk assessment. To address this issue an innovative methodology which integrates spatial analysis and a relative risk approach was developed. The purpose of this methodology is to prioritize sites at regional scale where a preliminary site investigation may be required. The methodology aimed at supporting the inventory of contaminated sites was implemented within the spatial decision support sYstem for Regional rIsk Assessment of DEgraded land, SYRIADE, and was applied to the case-study of the Upper Silesia region (Poland).The developed methodology and tool are both flexible and easy to adapt to different regional contexts, allowing the user to introduce the regional relevant parameters identified on the basis of user expertise and regional data availability. Moreover, the used GIS functionalities, integrated with mathematical approaches, allow to take into consideration, all at once, the multiplicity of sources and impacted receptors within the region of concern, to assess the risks posed by all contaminated sites in the region and, finally, to provide a risk-based ranking of the potentially contaminated sites.
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