An analytical model for chemical diffusion in layered contaminated sediment systems with bioreactive caps

Yan, Huaxiang, Wu, Jiawei, Xie, Haijian, Thomas, Hywel R. ORCID: https://orcid.org/0000-0002-3951-0409 and Feng, Shijin 2019. An analytical model for chemical diffusion in layered contaminated sediment systems with bioreactive caps. International Journal for Numerical and Analytical Methods in Geomechanics 43 (15) , pp. 2471-2490. 10.1002/nag.2992

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Abstract

An analytical model for contaminant transport in multilayered capped contaminated sediments including the degradation of organic contaminant is presented. The effect of benthic boundary layer was treated as a Robin‐type boundary condition. The results of the proposed analytical model agree well with experimental data. The biodegradation of contaminant in bioturbation layer shows a significant influence on the flux at the surface of system. The maximum flux for the case with t1/2,bio = 0.07 year can be 4.5 times less than that of the case without considering the effect of biodegradation. The thickness of bioturbation layer has a significant effect on the performance of the capped contaminated sediment. The maximum flux for the case with lbio = 15 cm can be 17 times larger than that of the case without bioturbation layer. This may be because the effective diffusion coefficient of sand cap can be 28 times lower than Dbio. The mass transfer coefficient should be considered for the design of the capping system as the contaminant concentration at the top of system for the case with kbl = 2.5 × 10−5 cm/s can be 13 times greater than that of the case with kbl = 10−4 cm/s. The proposed analytical model can be used for verification of complicated numerical methods, evaluation of experimental data, and design of the capping contaminated sediment systems with reactive cap layers.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Wiley
ISSN:	0363-9061
Date of First Compliant Deposit:	9 September 2019
Date of Acceptance:	12 July 2019
Last Modified:	27 Nov 2024 17:00
URI:	https://orca.cardiff.ac.uk/id/eprint/125026

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