• Aucun résultat trouvé

Explicit Simulations of Parameters Impacting Nanoparticles Transport in Saturated Soils: Monte Carlo Approach

N/A
N/A
Protected

Academic year: 2022

Partager "Explicit Simulations of Parameters Impacting Nanoparticles Transport in Saturated Soils: Monte Carlo Approach"

Copied!
2
0
0

Texte intégral

(1)

Conference Presentation

Reference

Explicit Simulations of Parameters Impacting Nanoparticles Transport in Saturated Soils: Monte Carlo Approach

SEIJO, Marianne, STOLL, Serge

Abstract

The production and worldwide market of manufactured nanoparticles (NPs) are steadily growing past years. They open new opportunities for many industrial applications such as agriculture, pharmaceutical components or even everyday products. Proportionally, release of NPs in the environment is increasing drastically: Release in environment can be intentional (e.g., fertilizers, nanopesticides) or non-intentional due to products' alteration, degradation, recycling etc. Then, concerns on the environmental fate and toxicity of NPs are rising. All environmental compartments are concerned: air, water and soil. Soil is a critical environmental compartment due to the potential NPs ecotoxicity on soil organisms, groundwater contamination, etc. Understanding NPs transport processes in soils is a complex topic owing to the number of influencing factors and interactions: Computer simulations can help in addressing this issue. To get further insight into mechanisms and processes controlling NPs transport in soils, such as NPs and soil matrix interactions, soil porosity, etc.

we present a new and original Monte Carlo approach: Based on [...]

SEIJO, Marianne, STOLL, Serge. Explicit Simulations of Parameters Impacting Nanoparticles Transport in Saturated Soils: Monte Carlo Approach. In:

InterNano

, University of Landau (Germany), 19-21 september 2018, 2018

Available at:

http://archive-ouverte.unige.ch/unige:108350

Disclaimer: layout of this document may differ from the published version.

1 / 1

(2)

Explicit Simulations of Parameters Impacting Nanoparticles Transport in Saturated Soils: Monte Carlo Approach

Marianne Seijo1, Serge Stoll1

1Institute for Environmental Sciences, Department F.-A. Forel for Environmental and Aquatic Sciences Group of Environmental Physico Chemistry, University of Geneva

e-mail: [email protected]

The production and worldwide market of manufactured nanoparticles (NPs) are steadily growing past years. They open new opportunities for many industrial applications such as agriculture, pharmaceutical components or even everyday products. Proportionally, release of NPs in the environment is increasing drastically: Release in environment can be intentional (e.g., fertilizers, nanopesticides) or non- intentional due to products’ alteration, degradation, recycling etc. Then, concerns on the environmental fate and toxicity of NPs are rising. All environmental compartments are concerned: air, water and soil.

Soil is a critical environmental compartment due to the potential NPs ecotoxicity on soil organisms, groundwater contamination, etc. Understanding NPs transport processes in soils is a complex topic owing to the number of influencing factors and interactions: Computer simulations can help in addressing this issue.

To get further insight into mechanisms and processes controlling NPs transport in soils, such as NPs and soil matrix interactions, soil porosity, etc. we present a new and original Monte Carlo approach:

Based on an explicit (off lattice) representation of NPs and soil grains, simulations and NPs transport in porous matrices are performed by considering attachment/detachment efficiencies of NPs with soil grains, putting in front the impact of soil porosities. As highlighted by Cornelis et al.1 and Bradford et al.2, specific and detailed interactions between NPs and soils are crucial points to consider. With the explicit representation of soil grains and NPs, we investigate the impact of size exclusion of NPs and aggregates in pores (straining effects), as well as surface affinity of NPs to soil grains/soil surface. The reversibility of NPs adsorption, i.e. NPs detachment, which has been shown experimentally to be a key process, is also considered. All these parameters, including NPs aggregation, are systematically explored and their effect on breakthrough curves investigated.

1Cornelis, G.; Hund-Rinke, K.; Kuhlbusch, T.; Brink, N. van den; Nickel, C. Fate and Bioavailability of Engineered Nanoparticles in Soils: A Review. Critical Reviews in Environmental Science and Technology 2014, 44 (24), 2720–2764.

2Bradford, S. A.; Simunek, J.; Bettahar, M.; van Genuchten, M. T.; Yates, S. R. Modeling Colloid Attachment, Straining, and Exclusion in Saturated Porous Media. Environ. Sci. Technol. 2003, 37 (10), 2242–2250.

Références

Documents relatifs

Both remnants were found to have bright X-ray cores, dominated by Fe L-shell emission, which is consistent with reverse shock-heated ejecta with determined Fe masses in agreement

En pratique, étant donné que nous faisons de l'ordre de N² opérations (N, nombre d'électrons) pour N² accès à la mémoire, le calcul est inévitablement limité par les accès à

Before showing the results on a SC antiferromagnet, let us emphasize the following point. The picture of de- fect clusters of down spins embedded in a up-spin sea that we used above

a) We distribute a total number fit of clusters in the mass space, assigning a mass M to each cluster according to the initial distribution function N(M,t~)... b) We select a couple

Afin d’aborder cette question, et sur la base d’un échantillon de 20 PME de la wilaya d’Oran appartenant au secteur des Industries Manufacturières bénéficiaires du programme

the interaction energies are calculated by the Inverse linearized Monte Carlo Method [5].. The Inverse Linearized Monte Carlo

In this paper, we propose a generic way of improving the Monte-Carlo simulations by using RAVE values, which already strongly improved the tree part of the algorithm.. We prove

1 Index terms — Electron emission yield, low energy electrons, Monte Carlo code, practical range..