Testing of Filter Technologies for Treatment of Ballast Water

Abstract

A variety of filtration technologies exist on the market today which may be viable candidates for the removal of biological organisms from ships ballast water. This document presents the results of testing several types of filters at a pilot-scale facility. Filter systems tested included a disc, a screen and a media filtration system which were evaluated singly and in combination. These filters were evaluated for their relative ability to reduce particulate concentrations and biological organisms in ambient water drawn from the Gulf of Mexico. Where appropriate or necessary, the test waters were supplemented with concentrations of Arizona Test Dust to alter the total suspended solids and overall turbidity. Particle counting was used on the input and output stream of each filtration system to evaluate filter capability to remove particles. Direct enumeration of organisms in the feed water and filtrate was utilized to evaluate effectiveness in the removal of organisms. Filter systems and their combinations were evaluated over the size ranges 10-30, 50-80 and 100-200 microns. Suggestions for improving test water definitions are provided.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2006
Accession Number
AD1210551

Entities

People

  • D. Cruz
  • E. J. Lemieux
  • K. Rankin
  • S. Riley
  • S. Robbins
  • W. Hyland

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Aquatic Organisms
  • Chemistry
  • Coast Guard
  • Drops
  • Environmental Protection
  • Feed Water
  • Filtration
  • Flow Rate
  • Maritime Industry
  • Materials
  • Measurement
  • Military Research
  • Particle Size
  • Particles
  • Security
  • Spreadsheet Software
  • Test And Evaluation
  • Test Facilities
  • Test Methods

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Computational Modeling and Simulation
  • Environmental Engineering