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Simulation of multimedia transfer and fate of organotins in the aquatic environment of the Three Gorges Reservoir under dynamic water level |
GAO Jun-min, HOU Xian-yu, CHEN Xiao-ling, GUO Jin-Song, ZENG Jie, CHEN Zhu-man, FU Pin-ting |
Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China |
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Abstract To study the transfer and fate of organotins (OTs) in the aquatic environment under dynamic water level of the Three Gorges Reservoir (TGR), a level IV multimedia fugacity model was constructed to simulate the dynamic distributions of tributyltin (TBT) and triphenyltin (TPT) concentrations in air, water, sediment and fish and compared to monitored data for validation purpose. The transfer flux (N) and the residual mass of TBT and TPT in each phase were calculated, and the main transfer routes and fate behaviors were determined, and the sensitivity of input parameters and the uncertainty of output results were analyzed. Results show that the simulated concentrations can fit the monitored concentrations well, and are significantly affected by the hydrodynamic conditions of TGR.The N of TBT and TPT changes obviously with the water level, showing the opposite trend with the fluctuation of water level, which is related to the change of water level, inflow and rainfall. Advection process, sedimentation, burial, resuspension, aqueous phase degradation and advection process, fish-water transfer are the main routes of TBT and TPT, and advection output and degradation are the main loss pathways of TBT and TPT. Large sediment input net transfer flux (NN) indicated that sediment is an important reservoir for TBT and TPT, and easy to enrich in fish is also a momentous destination of TPT. During the simulation period, the biggest residual mass of TBT and TPT was obtained in sediment, and the distribution ratios in sediment, water, fish and air were 89.17%,10.81%, 0.04‰, 0.19‰ and 83.81%, 14.51%, 1.68%, 1.15×10-5‰, respectively. The advection input concentration (COW) and flow (GOW) has a significant positive effect on both TBT and TPT in the four phases (SC>0.6). The coefficient of variation (CV) of the TBT and TPT simulated concentrations is ≤ 0.15, indicated a good simulation result.
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Received: 30 August 2019
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