Version 1
: Received: 19 January 2018 / Approved: 19 January 2018 / Online: 19 January 2018 (06:41:05 CET)
How to cite:
Choi, H.; Kim, Y.; Lee, H.; Aldridge, D.C.; Kim, B. Filtration Conditions for the Removal of Organic Matter in Eutrophic Waters by Freshwater Mussels Using Response Surface Methodology. Preprints2018, 2018010180. https://doi.org/10.20944/preprints201801.0180.v1.
Choi, H.; Kim, Y.; Lee, H.; Aldridge, D.C.; Kim, B. Filtration Conditions for the Removal of Organic Matter in Eutrophic Waters by Freshwater Mussels Using Response Surface Methodology. Preprints 2018, 2018010180. https://doi.org/10.20944/preprints201801.0180.v1.
Cite as:
Choi, H.; Kim, Y.; Lee, H.; Aldridge, D.C.; Kim, B. Filtration Conditions for the Removal of Organic Matter in Eutrophic Waters by Freshwater Mussels Using Response Surface Methodology. Preprints2018, 2018010180. https://doi.org/10.20944/preprints201801.0180.v1.
Choi, H.; Kim, Y.; Lee, H.; Aldridge, D.C.; Kim, B. Filtration Conditions for the Removal of Organic Matter in Eutrophic Waters by Freshwater Mussels Using Response Surface Methodology. Preprints 2018, 2018010180. https://doi.org/10.20944/preprints201801.0180.v1.
Abstract
In this study, we applied a central composite design to estimate independent variables and establish optimal conditions of filtration rate and feces production that enhance filtration of suspended organic matter by the freshwater mussels Sinanodonta woodiana. The results indicated that statistical design methodology offers an efficient and feasible approach for high filtration and low feces production condition optimization. The proposed model equation takes into account the quantitative effect of variables and also the influence of interactions among variables on mussel filtration rate. Under the optimal experimental conditions (mussel size, 13.0 ± 0.2 cm; water current, 17.5 L/h), the experimental filtration rate of 4.47 ± 1.82 L/mussel/h showed a degree of correspondence with the predicted value of 8.4 L/mussel/h, which verified the practicability of this optimum strategy.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
