4.4 Article

Modelling the kinetic reactive transport of pollutants at the sediment-water interface. Applications with atmospheric fallout radionuclides

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ELSEVIER SCI LTD
DOI: 10.1016/j.jenvrad.2021.106790

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Surficial sediments; Trace elements; Uptake kinetics; Reactive transport; Early compaction; Eddy diffusivity

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This study investigates the behavior of particulate matter and chemicals at the sediment-water interface using a kinetic reactive transport model. It identifies a series of factors governing the fate of tracers in this region, leading to a diverse range of behaviors. Eddy diffusivity in the pore fluid can explain observed penetration depths for certain elements, while others are retained in thinner sediment layers.
Understanding the behaviour of particulate matter and chemicals at the sediment-water interface (SWI) is of interest in environmental studies and risk assessments. These processes are still poorly understood, and this work aims to gain relevant insights by using a kinetic reactive transport model. It merges early diagenetic processes and box models for the uptake kinetics. Numerical solutions have been found for synthetic scenarios and for studying real cases from the literature (210Pb and Chernobyl fallout radionuclides in Lake Sniardwy, Poland, and 7Be in sediments from Tema Harbour, Ghana). The study identifies a series of factors that dynamically interact to govern the final fate of tracers in the SWI region, leading to a wide diversity of behaviours. When a term of eddy diffusivity is included in the upper regions of the pore fluid, which seems feasible for some energetic scenarios, it is possible to explain the observed large penetration depths for Cs and Be, while high particle-reactive elements are retained in thinner sediment layers. Desorption from the sediment occurs through the pore fluid as diffusive fluxes. Transient depth profiles of tracer concentrations can last from months up to a year, and they can show subsurface maxima at positions unrelated with the accretion rate. In the application cases, the model explained a wide set of observational data that was beyond the capabilities of other approaches involving physical mixing of solids and equilibrium kd. This modelling study could provide useful guidance for future research works.

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