Objectif
Conventional techniques for site characterization are time consuming, cost intensive, and do not support decision making. Therefore, new techniques for step by step site characterization strategy with smart feed back loops are necessary. These will be able to support a future “soil framework directive”. Advanced geophysical site characterization techniques combined with new types of vegetation analysis will be developed. Based on these non-invasive surveys, the extension of sources, contamination levels (THP, BTEX, PAH, CHC, explosives, heavy metals and radio nuclides) and soil heterogeneities will be localized first. Hot spots will then be investigated by new direct push probing systems integrated with geophysical & hydrogeological methods and combined with chemical & isotopic contaminant analysis for source localization and identification (environmental forensics). The actually occurring bioprocesses, such as contaminant degradation or precipitation/mobilization processes, will be assessed using biosensors, in situ microcosms, and stable isotope and biomarker analysis. These new techniques and tools will be evaluated against best practice of conventional methods. Therefore, they will be applied at fully equipped and characterized European reference sites available in the project and will be provided to consultants and SME´s for application. Integrated statistical analysis and modelling at different stages of the step by step approach will result in an improved view of soil and subsurface contamination and will provide a sound basis for risk assessment and decision.
Champ scientifique
Mots‑clés
Programme(s)
Appel à propositions
FP7-ENV-2007-1
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Régime de financement
CP-FP - Small or medium-scale focused research projectCoordinateur
04318 Leipzig
Allemagne
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Participants (16)
35122 Padova
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00185 Roma
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2800 Kongens Lyngby
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171 00 PRAGUE 7
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LA1 4YW Lancaster
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8000 Aarhus C
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1348 Louvain La Neuve
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00185 Roma
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199034 SAINT PETERSBURG
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85100 POTENZA
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24118 Kiel
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53113 Bonn
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2629 HV Delft
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72401 Haigerloch
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75238 Paris
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1090 Wien
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