globalchange  > 气候变化事实与影响
DOI: 10.1016/j.watres.2018.12.015
Scopus记录号: 2-s2.0-85059620437
论文题名:
Comparison of biological weighting functions used to model endogenous sunlight inactivation rates of MS2 coliphage
作者: Silverman A.I.; Tay N.; Machairas N.
刊名: Water Research
ISSN: 431354
出版年: 2019
起始页码: 439
结束页码: 446
语种: 英语
英文关键词: Biological weighting function ; Photoinactivation ; Solar disinfection model ; Virus inactivation ; Waste stabilization pond
Scopus关键词: Bacteriophages ; Disinfection ; Forecasting ; Incident solar radiation ; Biological weighting functions ; Photoinactivation ; Solar disinfection ; Virus inactivation ; Waste stabilization ponds ; Plants (botany) ; bacteriophage ; comparative study ; data set ; disinfection ; irradiance ; microorganism ; model ; model validation ; pond ; solar radiation ; virus ; waste ; wavelength ; Article ; coliphage ; comparative study ; disinfection ; Enterobacteria phage MS2 ; priority journal ; publication ; quantitative study ; quantum yield ; sunlight ; Kobus
英文摘要: Sunlight inactivation is important for disinfection of viruses in sunlit waters. As such, attempts have been made to predict the endogenous photoinactivation rate of bacteriophage MS2 using biological weighting functions, which describe microorganism sensitivity to sunlight inactivation as a function of wavelength. In this study, four biological weighting function models were compared to assess their ability to predict endogenous inactivation rates (kendo) of MS2. Previously-published and newly-collected datasets consisting of an incident irradiance spectrum (used as an input to the model) and a measured inactivation rate (kobs) were used for model validation and comparison. kendo values predicted by each model were compared with measured kobs to evaluate the ability of each biological weighting function to predict endogenous sunlight inactivation rates. A model previously developed by Mattle et al. (Env. Sci. Technol. 49, 334–342) over-predicted inactivation rates, whereas the other three models – a model from Fisher et al. (Env. Sci. Technol. 45, 9249–9255), a new model developed in this study, and a modification of the model by Mattle et al. (developed as part of this study) – were better able to estimate inactivation rates. The biological relevance of the spectral shape of each biological weighting function is discussed. © 2018 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122035
Appears in Collections:气候变化事实与影响

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作者单位: New York University, Tandon School of Engineering, Department of Civil & Urban Engineering, Brooklyn, NY 11201, United States; New York University, College of Global Public Health, New York, NY 10003, United States

Recommended Citation:
Silverman A.I.,Tay N.,Machairas N.. Comparison of biological weighting functions used to model endogenous sunlight inactivation rates of MS2 coliphage[J]. Water Research,2019-01-01
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