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Occurrences,spatial distributions,and ecological risks of organic ultraviolet absorbents in surface sediments from Taihu Lake,China 被引量:1
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作者 Wen Gu Shuai Sun +6 位作者 Yinying Cai Ziyan Du Xiaohan Shan Mengyuan Liang Min Guo linjun zhou Yong Zhang 《Emerging Contaminants》 2025年第2期53-62,共10页
The occurrences and spatial distributions of eight organic ultraviolet absorbents (UVAs) were investigated in surface sediments from Taihu Lake, China. The detection frequencies and concentrations of UVAs in 2016 were... The occurrences and spatial distributions of eight organic ultraviolet absorbents (UVAs) were investigated in surface sediments from Taihu Lake, China. The detection frequencies and concentrations of UVAs in 2016 were significantly higher than those in 2015.2-Ethylhexyl methoxycinnamate and homosalate (HMS) were the predominant UVAs in the sediment samples. The total UVA concentration range in sediment samples was 0.15–85.3 ng/g. The spatial distribution results showed that UVAs were concentrated in the northwest of Taihu Lake. The total organic carbon content may affect the fate of UVAs in sediments. Source analysis and correlation analysis showed that the following compounds had high proportions and significant correlations: 2-ethylhexyl methoxycinnamate, ethylhexyl salicylate, and HMS in 2015;and benzophenone-3, HMS, and benzyl salicylate in 2016. These results indicated the correlated compounds within each year had the same source. Ecological risk assessment results showed that UVAs in sediment from Taihu Lake may present a moderate risk to benthic organisms. The risk quotient of UVAs in 2016 was slightly higher than that in 2015. The seasonal pollution characteristics of UVAs and their comprehensive environmental risks should receive further attention. 展开更多
关键词 Organic ultraviolet absorbents 2-Ethylhexyl 4-methoxycinnamate Taihu lake Spatial and temporal variation Risk assessment
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Removal and prediction of chemicals in anaerobiceanoxiceaerobic wastewater treatment system:Case study on organophosphates
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作者 linjun zhou Xinfeng Yang +6 位作者 Wen Gu Jie Gu Weilong Xing Lei Wang Lili Shi Jing Liang Tianyun Wang 《Emerging Contaminants》 CSCD 2024年第4期174-190,共17页
Distribution and removal of chemicals in wastewater treatment plants(WWTPs)have mainly relied on mathematical models.Existing exposure assessment models such as SimpleTreat,STPWIN are based on conventional activated s... Distribution and removal of chemicals in wastewater treatment plants(WWTPs)have mainly relied on mathematical models.Existing exposure assessment models such as SimpleTreat,STPWIN are based on conventional activated sludge processes.There is an urgent need to develop an A^(2)/O-based WWTPs exposure assessment model.Organophosphates(OPEs)have different physical and chemical properties and potential environmental risks.The fate and biodegradation kinetics of three types of OPEs,including alkyl OPEs,chlorinated OPEs and triphenyl ester OPEs,were studied in a laboratory-scale anaerobic/anoxic/aerobic(A^(2)/O)sewage treatment system and batch reactors.The three types of OPEs had different anaerobic,anoxic,and aerobic removal characteristics.A compensation mechanism was found between anaerobic and anoxic/aerobic removal.When the hydraulic retention time decreased from 82 to 20.5 h,the removal efficiencies in the anaerobic unit decreased,while those in the anoxic unit increased;as a result,the total removal efficiencies remained high(>80%)for all OPEs except triphenyl phosphate(65.5%-75.1%).The concept of effective sludge concentration(MLSS eff)was proposed to illustrate the compensation mechanism and calibrate the second-order kinetic equation for predicting pollutant removal in the A^(2)/O system:MLSS eff=k_(en)×MLSS,where ken is a constant related to the influent total organic carbon content(TOC).The influent TOC contents of the anoxic and aerobic units affected the value of MLSS_(eff)and OPEs removal.The results are of great significance for assessing OPEs exposure and predicting exposure to emerging micropollutants in sewage treatment systems. 展开更多
关键词 Organophosphates WASTEWATER A^(2)/O FATE Model PREDICTION HRT
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