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10.1016/j.buildenv.2020.107465

http://scihub22266oqcxt.onion/10.1016/j.buildenv.2020.107465
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suck abstract from ncbi


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pmid33250559      Build+Environ 2021 ; 188 (ä): 107465
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  • Lagrangian modeling of inactivation of airborne microorganisms by in-duct ultraviolet lamps #MMPMID33250559
  • Yang Y; Zhang H; Lai AC
  • Build Environ 2021[Jan]; 188 (ä): 107465 PMID33250559show ga
  • There has been increasing interest in modeling the UV inactivation on airborne microorganisms via the Lagrangian approach as a result of its outstanding features in calculating UV dose with particle trajectory. In this study, we applied the Lagrangian method to model the disinfection performance of in-duct UV lamps on three bacteria: Pseudomonas alcaligenes, Salmonella enterica and Escherichia coli, respectively. For modeling, the airborne bacteria's inactivation was determined by critical survival fraction probability (CSFP) and maximal bearable UV dose (MBUD) methods, respectively. The results indicated that Lagrangian modeling utilizing the MBUD method needs to appropriately evaluate the maximal UV dose (D (mb) ), which is bearable for airborne microorganisms. The disinfection efficacy obtained by using the CSFP method agreed well with experimental measurements. Within the Lagrangian framework, the recommended empirical value for critical survival fraction (F (sc) ) was 0.4 for modeling the disinfection efficacy of in-duct UV lamps. Besides, the disinfection efficacies of in-duct UV lamps with full luminous length on P. alcaligenes and E. coli were 100% with Re within the range of 4.11 x 10(4) to 8.22 x 10(4). Moreover, the present numerical model was also applied for further validation with inactivation measurements of in-duct UV lamps performed by the U.S. Environmental Protection Agency (EPA). Based on the results, the UV disinfection efficacies obtained by the present modeling method had a closed agreement with EPA experimental results. It deserved to pay more investigations on the optimal value of F (sc) in further for accurately applying Lagrangian modeling on air UV disinfection.
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