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    谢晴

    • 高级工程师    
    • 主要任职:无
    • 性别:女
    • 毕业院校:大连理工大学
    • 学位:博士
    • 在职信息:在职
    • 所在单位:环境学院
    • 学科:环境工程
    • 办公地点:环境楼A315
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    Modeling photodegradation kinetics of organic micropollutants in water bodies: A case of the Yellow River estuary.

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    论文类型:期刊论文

    第一作者:Zhou Chengzhi

    通讯作者:Chen, Jingwen(jwchen@dlut.edu.cn)

    合写作者:Chen Jingwen,Xie Huaijun,Zhang Ya-Nan,Li Yingjie,Wang Yan,Xie Qing,Zhang Siyu

    发表时间:2018-01-31

    发表刊物:Journal of hazardous materials

    收录刊物:PubMed、SCIE、EI

    卷号:349

    页面范围:60-67

    ISSN号:1873-3336

    关键字:Photodegradation kinetics,Sulfamethoxazole and acyclovir,Sunlight attenuation,Yellow River estuary

    摘要:Predicting photodegradation rate constants (k) of pollutants in water bodies is important for assessing their persistence and fate. This prediction used to be based on the k values determined under laboratory conditions that seldom consider underwater downward sunlight attenuation in the field. We studied a procedure to predict k taking the Yellow River estuary and two model chemicals (sulfamethoxazole and acyclovir) as a case. Models were developed for predicting underwater sunlight intensities from optically-active substances. Based on the predicted underwater sunlight intensities, hourly variation of k for the model compounds was predicted as a function of water depth, for a fresh water, an estuarine water and a seawater body in the estuary. Results show that photodegradation half-lives (t1/2) of the two compounds will be underestimated by dozens of times if underwater downward sunlight attenuation and intensity variation are not considered. Outdoor validation experiments show the maximum deviation between the predicted and measured k values is a factor of 2. The developed models can be employed to predict k of environmental chemicals in coastal water bodies once they are locally calibrated. Copyright © 2018 Elsevier B.V. All rights reserved.