Literature DB >> 29414753

Modeling photodegradation kinetics of organic micropollutants in water bodies: A case of the Yellow River estuary.

Chengzhi Zhou1, Jingwen Chen2, Huaijun Xie1, Ya-Nan Zhang1, Yingjie Li1, Yan Wang1, Qing Xie1, Siyu Zhang3.   

Abstract

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.

Entities:  

Keywords:  Photodegradation kinetics; Sulfamethoxazole and acyclovir; Sunlight attenuation; Yellow River estuary

Year:  2018        PMID: 29414753     DOI: 10.1016/j.jhazmat.2018.01.051

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

Review 1.  A Critical View of the Application of the APEX Software (Aqueous Photochemistry of Environmentally-Occurring Xenobiotics) to Predict Photoreaction Kinetics in Surface Freshwaters.

Authors:  Davide Vione
Journal:  Molecules       Date:  2019-12-18       Impact factor: 4.411

2.  A Model Assessment of the Occurrence and Reactivity of the Nitrating/Nitrosating Agent Nitrogen Dioxide (NO2) in Sunlit Natural Waters.

Authors:  Davide Vione
Journal:  Molecules       Date:  2022-07-29       Impact factor: 4.927

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.