|
KMID : 1024520170260040421
|
|
Journal of the Environmental Sciences
2017 Volume.26 No. 4 p.421 ~ p.432
|
|
|
Disinfection Models to Predict Inactivation of Artemia sp. via Physicochemical Treatment Processes
|
|
Zheng Cheng
Kim Dong-Seog
Park Young-Seek
|
|
|
Abstract
|
|
|
|
In this study, we examined the suitability of ten disinfection models for predicting the inactivation of Artemia sp. via single or combined physical and chemical treatments. The effect of Hydraulic Retention Time (HRT) on the inactivation of Artemia sp. was examined experimentally. Disinfection models were fitted to the experimental data by using the GInaFiT plug-in for Microsoft Excel. The inactivation model were evaluated on the basis of RMSE (Root Mean Square Error), SSE (mean Sum Square Error) and r2. An inactivation model with the lowest RMSE, SSE and r2 close to 1 was considered the best. The Weibull+Tail model was found to be the most appropriate for predicting the inactivation of Artemia sp. via electrolytic treatment and electrolytic-ultrasonic combined treatment. The Log-linear+Tail model was the most appropriate for modeling inactivation via homogenization and combined electrolytic-homogenization treatment. The double Weibull disinfection model was the most suitable for the predicting inactivation via ultrasonic treatment.
|
|
|
KEYWORD
|
|
|
Artemia sp., Electrolysis, Homogenization, Ultrasonic treatment, Disinfection model, Zooplankton, Microsoft excel, GInaFiT
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|