BASIC PARAMETERS FOR DESIGNING PHYSICAL SEPARATION TREATMENTS FROM AN INTENSIVE ON-SHORE FISH FARM

  • Biagio Bianchi | biagio.bianchi@agr.uniba.it DISAAT Dept., University of Bari, Italy.
  • Gerardo Centoducati Dept. of Public Healt and Animal Science, University of Bari, Italy.
  • Francesco Toteda Dept. of Animal Production, University of Bari, Italy.
  • Onofrio Nardomarino Officer in charge of quality control, Italy.

Abstract

The pollutant load was monitored in an intensive on-shore plant; evaluation especially concerned one basin,during a period of time in which the water temperature (21-23°c), the stocking density (25 kg/m3), the loading and unloading flow (40 dm3/s) remained steady at the highest values. The results show that the maximum pollution levels are characterized by high concentrations of suspended organic materials, as well as by high BOD5/COD rates; moreover, more than 60% of the suspended solid waste consists of particles with a maximum dimension ranging from 200 μm to more than 500 μm. Tests show that an effluent channel is not efficient in reducing the pollutant load of waste water. The laboratory sedimentation trials showed – for a period of about 3 hours – minimum and maximum solid particle sedimentation speeds of 2.56 mm/s and 46.8 mm/s respectively, which should be considered when deciding the turbid speed and the dimensions of basins for this type of effluent. In any case, the sedimentation process carried out in the laboratory was only just sufficient to bring the farm effluent within the legal limits. Therefore a mechanical filtration treatment may suit the specific requirements of the farm waste water used for the experimental trials. A 50 μm mesh would be considered sufficient for any critical situation.

Downloads

Download data is not yet available.
Published
2012-06-22
Section
Original Articles
Keywords:
On-shore intensive fish farm, Waste water, Polluting characterization, Purifying treatment, Sedimentation, Filtration.
Statistics
Abstract views: 732

PDF: 268
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Bianchi, B., Centoducati, G., Toteda, F., & Nardomarino, O. (2012). BASIC PARAMETERS FOR DESIGNING PHYSICAL SEPARATION TREATMENTS FROM AN INTENSIVE ON-SHORE FISH FARM. Journal of Agricultural Engineering, 42(2), 11-18. https://doi.org/10.4081/jae.2011.2.11