File:CuPollutionEuropa2024.jpg
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[edit]DescriptionCuPollutionEuropa2024.jpg |
Français : Selon une grande étude (2024) basée sur 21 682 échantillons de sols prélevés dans 25 pays de l'UE lors de l'enquête LUCAS sur la couche arable : dans le sol, le Cu est corrélé aux propriétés du sol (pH, texture, carbone organique du sol), au climat, à la géologie et concernant le cuivre issu de la bouillie bordelaise à la gestion du produit par l'applicateur. Parmi tous les sols, ceux qui sont sous les vignobles sont les plus pollués par le Cu (jusqu'à 49,3 mg kg−1), mais on en trouve aussi sous les oliveraies (33,5 mg kg−1) et les vergers (27,3 mg kg−1). Cependant, c'est surtout en aval, dans les zones humides qu'on retrouvera ce cuivre, lessivé par les pluies.
La régression par processus gaussien (GPR) combinée au krigeage a été utilisée pour cartographier la concentration de cuivre dans les sols arables et pour mettre en évidence la présence de valeurs aberrantes. Le géoradar s’est avéré efficace pour prédire la concentration de Cu, en particulier en combinaison avec le krigeage, représentant 66 % de la déviance de Cu. Les cartes dérivées sont novatrices car elles contiennent des informations sur l’importance des propriétés de la couche arable dans le processus de cartographie du cuivre, améliorant ainsi sa précision. Les deux modèles mettent en évidence l’influence des pratiques de gestion des terres sur la concentration en cuivre et la forte corrélation entre le cuivre de la couche arable et les vignobles. English: Gaussian Process Regression (GPR) combined with kriging were used to map copper concentration in topsoils and to evidence the presence of outliers. GPR proved to be performant in predicting Cu concentration, especially in combination with kriging, accounting for 66% of Cu deviance. The derived maps are novel as they include information about the importance of topsoil properties in the copper mapping process, thus improving its accuracy. Both models highlight the influence of land management practices in copper concentration and the strong correlation between topsoil copper and vineyards. |
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https://www.sciencedirect.com/science/article/pii/S0048969718314451 https://doi.org/10.1016/j.scitotenv.2018.04.268 |
Author | Cristiano Ballabio, Panos Panagos, Emanuele Lugato, Jen-How Huang, Alberto Orgiazzi, Arwyn Jones, Oihane Fernández-Ugalde, Pasquale Borrelli, Luca Montanarella. |
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current | 20:44, 25 April 2024 | 1,618 × 886 (363 KB) | Lamiot (talk | contribs) | Uploaded a work by Cristiano Ballabio, Panos Panagos, Emanuele Lugato, Jen-How Huang, Alberto Orgiazzi, Arwyn Jones, Oihane Fernández-Ugalde, Pasquale Borrelli, Luca Montanarella. from https://www.sciencedirect.com/science/article/pii/S0048969718314451 https://doi.org/10.1016/j.scitotenv.2018.04.268 with UploadWizard |
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