Bioaccessibility of trace elements as affected by soil parameters in smelter-contaminated agricultural soils : a statistical modeling approach
2012
Pelfrene, Aurélie | Waterlot, Christophe | Mazzuca, Muriel | Nisse, Catherine | Cuny, Damien | Richard, Antoine | Denys, Sébastien | Heyman, Christophe | Roussel, Hélène | Bidar, Géraldine | Douay, Francis | Université de Lille | Laboratoire de Génie Civil et Géo-Environnement (LGCgE) - ULR 4515 (LGCgE) ; Université d'Artois (UA)-Université de Lille-Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai) ; Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-JUNIA (JUNIA) ; Université catholique de Lille (UCL)-Université catholique de Lille (UCL) | Impact de l'environnement chimique sur la santé humaine - ULR 4483 (IMPECS) ; Université de Lille-Centre Hospitalier Régional Universitaire [CHU Lille] (CHRU Lille) | Centre Hospitalier Régional Universitaire [CHU Lille] (CHRU Lille) | Laboratoire des Sciences Végétales et Fongiques ; Université de Lille, Droit et Santé | Laboratoire d'Analyses des Sols (LAS) ; Institut National de la Recherche Agronomique (INRA) | Institut National de l'Environnement Industriel et des Risques (INERIS) | Cellule Interrégionale d'Epidémiologie ; Cellule Interrégionale d'Epidémiologie | Agence de l'Environnement et de la Maîtrise de l'Énergie (ADEME)
Environ Pollut 859TF Times Cited:2 Cited References Count:50
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Show more [+] Less [-]English. An investigation was undertaken to identify the most significant soil parameters that can be used to predict Cd, Pb, and Zn bioaccessibility in smelter-contaminated agricultural soils. A robust model was established from an extended database of soils by using : a training set of 280 samples to select the main soil parameters, to define the best population to be taken into account for the model elaboration, and to construct multivariate regression models, and a test set of 110 samples to validate the ability of the regression models. Total carbonate, organic matter, sand, P2O5, free Fe-Mn oxide, and pseudo total Aland trace element (TE) contents appeared as the main variables governing TE bioaccessibility. The statistical modeling approach was reasonably successful, indicating that the main soil factors influencing the bioaccessibility of TEs were taken into account and the predictions could be applicable for further risk evaluation in the studied area.
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