Models to predict sunlight-induced photodegradation rates of contaminants in wastewater stabilisation ponds and clarifiers

Xi Zhi Niu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)293-297
Number of pages5
JournalWater Science and Engineering
Volume12
Issue number4
DOIs
StatePublished - Jan 10 2020
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-13
Acknowledgements: This article is an afterthought of the author's master's and Ph.D. research. The author is thus grateful to the following hosting organisations: Water Desalination and Reuse Center (WDRC) at King Abdullah University of Science and Technology (KAUST, Saudi Arabia); the Thanh H. Nguyen Lab at the University of Illinois; Curtin Water Quality Research Centre (CWQRC, Western Australia); the Ultrafast Photochemistry Lab of the University of Queensland (Brisbane, Australia); and the Analytical Biogeochemistry Lab of the Helmholtz Zentrum Munich (Munich, Germany). The then principal investigators of the research projects, Prof. Jean-Philippe Croue (WDRC/CWQRC), Prof. Thanh H. Nguyen (University of Illinois), and Dr. Chao Liu (WDRC/Clemson) are gratefully acknowledged. The author is also grateful to Dr. Silvio Canonica (Eawag, Switzerland) for valuable discussions during the research period.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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