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Aquaculture International

, Volume 27, Issue 5, pp 1353–1368 | Cite as

Modeling re-oxygenation performance of fine-bubble–diffusing aeration system in aquaculture ponds

  • Xiangju ChengEmail author
  • Yuning Xie
  • Dantong Zhu
  • Jun Xie
Article

Abstract

Fine-bubble-diffusing (FBD) aeration system is widely used in aquaculture ponds. To maximize its re-oxygenation capability, it is needed to have a quantitative understanding of the reoxygenation performance. In practice, two indexes, namely oxygen volume mass transfer coefficient (KLa) and standard oxygen transfer efficiency (E), are commonly used to measure the re-oxygenation performance. However, few mathematical models are available to accurately predict these two indexes. The objective of this regard was to develop such a model driven by commonly available data. In this regard, the results from 54 group laboratory tests were regressed on four independent variables, including air flow rate (Qg), aeration tube length (L), submerged water depth of the diffuser (hd), and plane-view tank area (Acs). The regression revealed that both KLa and E are negatively related to hd and Acs, but they are positively related to L. In addition, KLa was found to be positively related to Qg, whereas E was found to be negatively related to Qg. Two regression models, one for KLa while another for E, are expected to be effective tools for operating FBD aeration system in practice to maximize its re-oxygenation capability though they may need to be further verified using field data.

Keywords

Prediction model Oxygen volume mass transfer Oxygen utilization rate Fine-bubble diffusing system Aquaculture 

Notes

Funding information

This work was supported by the National Natural Science Foundation of China (no. 51579106), the China Modern Agro-industry Technology Research System (no. CARS-46-17), the National Key Technology R&D Program (no. 2012BAD25B04), and the Open Research Fund Program of State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed by the authors. This article does not contain any studies with animals performed by any of the authors.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhouChina
  2. 2.State Key Laboratory of Hydraulics and Mountain River EngineeringSichuan UniversityChengduChina
  3. 3.Pearl River Fisheries Research InstituteChinese Academy of Fishery ScienceGuangzhouChina

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