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hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorVIALA, Yoann
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorSAPPIN-DIDIER, Valérie
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorBUSSIÈRE, Sylvie
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorCORIOU, Cécile
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorNGUYEN, Christophe
dc.date.accessioned2024-04-08T11:50:59Z
dc.date.available2024-04-08T11:50:59Z
dc.date.issued2021-07
dc.identifier.issn0048-9697
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195411
dc.description.abstractEnSpeciation of Cd in soil solutions strongly determines the fate of this toxic metal in the environment. Generally, in soil solutions, Cd predominantly binds to the dissolved organic matter (DOM). The determination of the quantity and reactivity of DOM that actually complexes Cd in soil solutions is challenging for operational purposes. Therefore, this study tested whether Cd2+ concentration in soil solutions could effectively be predicted by considering complexation with a single mean organic ligand assumed to be a fraction of DOM of unspecified nature or assumed to be purely fulvic acids (FA) with reactivity as described in WHAM VII. The reactivity of the unspecified ligand and the concentration of FA were modelled and fitted to experimental data from 76 agricultural soils with low Cd contents. The optimal reactivity and FA concentration that minimized the relative error (RE) of predictions of the concentration of Cd2+ in soil solutions were either considered constant across soils or modelled from soil properties by multiple linear regressions (MLR) or random forests (RF), giving 6 models, the predictive value of which was assessed by 10-folds cross-validation. When the reactivity of the mean ligand and the optimal FA concentration were considered constant across soils, the models were biased and 66.9% of predictions had relative errors below a factor of 2. By contrast, if the reactivity of the mean ligand or the optimal FA concentration were allowed to vary with soil characteristics, these performances increased to 95.5%, soil pH being the main predictor and RF being slightly more efficient than MLR. With more than 95% of the relative errors of prediction below a factor of 2, the models developed in this work could be valuable for assessing Cd speciation in the solution of soils having a low Cd content.
dc.description.sponsorshipCadmium et Deoxynivalenol dans les récoltes de blé dur: comprendre les évènements de contamination croisée et évaluer la toxicité du mélange. - ANR-15-CE21-0001
dc.language.isoen
dc.publisherElsevier
dc.subject.enAvailability
dc.subject.enDOM
dc.subject.enFree Cd2+
dc.subject.enModelling
dc.subject.enSoil solution
dc.subject.enWHAM VII
dc.title.enSimple models efficiently predict free cadmium Cd2+ in the solutions of low-contaminated agricultural soils
dc.typeArticle de revue
dc.identifier.doi10.1016/j.scitotenv.2021.146428
dc.subject.halSciences de l'environnement
bordeaux.journalScience of the Total Environment
bordeaux.page1-11
bordeaux.volume778
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03288032
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03288032v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Science%20of%20the%20Total%20Environment&rft.date=2021-07&rft.volume=778&rft.spage=1-11&rft.epage=1-11&rft.eissn=0048-9697&rft.issn=0048-9697&rft.au=VIALA,%20Yoann&SAPPIN-DIDIER,%20Val%C3%A9rie&BUSSI%C3%88RE,%20Sylvie&CORIOU,%20C%C3%A9cile&NGUYEN,%20Christophe&rft.genre=article


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