naa a22 4500 510752667 CHVBK 20180411083110.0 cr unu---uuuuu 180411e20131101xx s 000 0 eng 10.1007/s11270-013-1774-z doi (NATIONALLICENCE)springer-10.1007/s11270-013-1774-z Quantitative Characterization and Prediction Modeling of Photoreactivation of Coliforms After Ultraviolet Disinfection of Reclaimed Municipal Wastewater [Elektronische Daten] [Mei-Ting Guo, Jing-Jing Huang, Hong-Ying Hu, Wen-Jun Liu, Jian Yang] Photoreactivation is considered to be one of the principal disadvantages of the application of ultraviolet disinfection, but knowledge about the photoreactivation potential is limited since few studies to model photoreactivation have been carried out. In order to develop a model for the prediction of the photoreactivation potential, the photoreactivation of Escherichia coli, fecal coliforms, and total coliforms in the tertiary effluent of a wastewater treatment plant was investigated using traditional plate count methods in this study. The tested bacteria were exposed to various UV doses (5-80mJ/cm2) with a low-pressure UV-collimated beam apparatus and then put under sunlight lamp to experience photoreactivation for up to 72h. All tested bacteria underwent photoreactivation with a similar trend. When the UV dose increased from 5 to 20mJ/cm2, the maximum reactivation value of E. coli decreased from 105 to 10CFU/mL over 8h, and the reactivation rate decreased from 3.6 to 3.0 × 10−4/h. Based on the photoreactivation results, an exponential model was developed to predict the possible maximum photoreactivation level (N m  = αD − β N 0). This simple photoreactivation potential prediction model contains only two variables (UV dose and initial bacterial count), with two constants related to the microorganism species. This model can be easily generalized and is helpful for the optimum design of UV disinfection systems. Springer Science+Business Media Dordrecht, 2013 Ultraviolet disinfection nationallicence Photoreactivation nationallicence Photoreactivation potential prediction nationallicence Model nationallicence Wastewater nationallicence Guo Mei-Ting State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, China aut Huang Jing-Jing Environmental Simulation and Pollution Control State Key Joint Laboratory, School of the Environment, Tsinghua University, 100084, Beijing, China aut Hu Hong-Ying Environmental Simulation and Pollution Control State Key Joint Laboratory, School of the Environment, Tsinghua University, 100084, Beijing, China aut Liu Wen-Jun Environmental Simulation and Pollution Control State Key Joint Laboratory, School of the Environment, Tsinghua University, 100084, Beijing, China aut Yang Jian State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, China aut Water, Air, & Soil Pollution Springer Netherlands 224/11(2013-11-01), 1-9 0049-6979 224:11<1 2013 224 11270 https://doi.org/10.1007/s11270-013-1774-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11270-013-1774-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Guo Mei-Ting State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, China aut NATIONALLICENCE 700 1- Huang Jing-Jing Environmental Simulation and Pollution Control State Key Joint Laboratory, School of the Environment, Tsinghua University, 100084, Beijing, China aut NATIONALLICENCE 700 1- Hu Hong-Ying Environmental Simulation and Pollution Control State Key Joint Laboratory, School of the Environment, Tsinghua University, 100084, Beijing, China aut NATIONALLICENCE 700 1- Liu Wen-Jun Environmental Simulation and Pollution Control State Key Joint Laboratory, School of the Environment, Tsinghua University, 100084, Beijing, China aut NATIONALLICENCE 700 1- Yang Jian State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, 200092, Shanghai, China aut NATIONALLICENCE 773 0- Water, Air, & Soil Pollution Springer Netherlands 224/11(2013-11-01), 1-9 0049-6979 224:11<1 2013 224 11270 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer