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Estimation and optimization methods for assessing quantities of soils to be remediated. Feedback from real cases about the validity of estimated contaminated soil volumes / pollutant masses

Summary

When treating a polluted site, estimating the quantities of soil to be decontaminated is a major concern. Discrepancies between diagnoses and the quantities actually cleaned up are frequent and have major consequences in financial, time and environmental terms. Against this backdrop, the study uses feedback from 23 industrial data sets and a survey of SSP professionals to identify the most appropriate methodologies for optimising estimates of the quantities of land to be remediated. In addition, the study provides quantified analyses of the discrepancies observed in real-life situations, confirming the impressions felt by professionals. The results lead to operational recommendations aimed at improving the quality of predictions in the diagnostic phase. The relevance of these recommendations was ensured by the involvement of some fifteen players recognised for their expertise in the field of polluted sites and soils.

Keywords: sites et sols pollués, diagnostic, estimation de quantités, erreurs de prédiction, réconciliation, retour d’expérience, méthodes empiriques, interpolation déterministe, géostatistique, excavation, traitement sur site / in situ, terres, jeux de données industrielles, contaminated sites, characterization, pollutant mass, soil volume, prediction error, reconciliation, experience feedback, empirical methods, deterministic interpolation, geostatistics, excavation, in situ / on site treatment, soil, industrial date sets

Publication date: May 2016

Achievement: GEOVARIANCES, eOde

Reference: 14-0515/1A


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