4.8 Article

A method for simulating spatial fates of chemicals in flowing lake systems: Application to phthalates in a lake

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WATER RESEARCH
卷 232, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2023.119715

关键词

Lake hydrodynamic model; Coupled level IV fugacity model; Fate and transport; Spatial heterogeneity; Phthalate ester

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A dynamic multimedia fate model of chemicals with spatial differentiation was constructed to describe the spatio-temporal distribution of chemicals in flowing lake systems. The model, coupling the level IV fugacity model with lake hydrodynamics, was successfully applied to study the distribution of four phthalates (PAEs) in a lake recharged by reclaimed water. The results showed significant spatial heterogeneity in the distributions of PAEs in both lake water and sediment, which was explained by the analysis of PAE transfer fluxes. The model can provide important information and accurate data support for the scientific management of chemicals in flowing lake systems.
In order to describe spatio-temporal distribution of chemicals in flowing lake systems, a dynamic multimedia fate model of chemicals with spatial differentiation was constructed by coupling the level IV fugacity model with lake hydrodynamics. It was successfully applied to four phthalates (PAEs) in a lake recharged by reclaimed water and its accuracy was verified. Results show that under the long-term influence of flow field, the distributions of PAEs in both lake water and sediment have significant spatial heterogeneity of 2 similar to 5 orders of magnitude, but present different distribution rules, which was explained by analysis of PAE transfer fluxes. The spatial distribution of PAEs in the water column depends on hydrodynamic conditions and whether the primary source is reclaimed water or atmospheric input. Slow water exchange and flow speed promote the migration of PAEs from water to sediment, causing them to always accumulate in sediments far away from the recharging inlet. Uncertainty and sensitivity analysis show that the PAE concentrations in water phase are mainly affected by emission and physicochemical parameters, while those in sediment phase are also sensitive to environmental parameters. The model can provide important information and accurate data support for the scientific management of chemicals in flowing lake systems.

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