Models to predict sunlight-induced photodegradation rates of contaminants in wastewater stabilisation ponds and clarifiers
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Niu, Xi-ZhiAffiliation
Univ Arizona, Dept Chem & Environm EngnUniv Arizona, Arizona Lab Emerging Contaminants
Issue Date
2019-12
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Niu, X.-Z. (2019). Models to predict sunlight-induced photodegradation rates of contaminants in wastewater stabilisation ponds and clarifiers. Water Science and Engineering, 12(4), 293–297. https://doi.org/10.1016/j.wse.2019.12.005 Journal
WATER SCIENCE AND ENGINEERINGRights
Copyright © 2019 Hohai University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Two kinetic models were established for conservative estimates of photodegradation rates of contaminants under sunlight irradiation, in particular for wastewater stabilisation ponds and clarifiers in conventional wastewater treatment plants. These two models were designated for (1) contaminants with high photolytic rates or high photolytic quantum yields, whose photodegradation is unlikely to be enhanced by aquatic photosensitisers; and (2) contaminants withstanding direct photolysis in sunlit waters but subjected to indirect photolysis. The effortlessly intelligible prediction procedure involves sampling and analysis of real water samples, simulated solar experiments in the laboratory, and transfer of the laboratory results to realise water treatment using the prediction models. Although similar models have been widely used for laboratory studies, this paper provides a preliminary example of translating laboratory results to the photochemical fate of contaminants in real waters. (C) 2019 Hohai University. Production and hosting by Elsevier B.V.Note
Open access journalISSN
1674-2370Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1016/j.wse.2019.12.005
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Except where otherwise noted, this item's license is described as Copyright © 2019 Hohai University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).