ELF Communications System Ecological Monitoring Program: Aquatic Ecosystem Studies.

Abstract

The U.S. Navy has completed a program that monitored biota and ecological relationships for possible effects from electromagnetic (EM) fields produced by its Extremely Low Frequency (ELF) Communications System. This report documents the results and conclusions of aquatic studies conducted near its transmitting antenna in Michigan. From 1982 through 1993 researchers from the Michigan State University (MSU) monitored aquatic flora and fauna on matched reaches of the Ford River. A treatment site was located immediately adjacent to the antenna, whereas a control site was situated at a distance downstream. Functional and structural components of the periphyton, insect, and fish communities were monitored. The research team also measured ambient factors such as temperature, discharge, and water quality indicators. Data were analyzed using a variety of statistical tests; however, BACI techniques were emphasized. Results indicated a relative increase in algal biomass at the treatment site after the antenna became fully operational, but no changes in any other parameter or organism. MSU concludes that algal biomass was affected by ELF EM exposure. Since neither the other ecological characteristics of the periphyton nor the insect and fish communities showed any effects, MSU infers little EM impact to riverine habitats.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1994
Accession Number
ADA297184

Entities

People

  • Doug Novinger
  • R. J. Stout
  • Scott Winterstein
  • Thomas Coon
  • Thomas M. Burton

Organizations

  • IIT Research Institute

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cells
  • Data Science
  • Databases
  • Environment
  • Environmental Protection
  • Fish
  • Fisheries
  • Habitats
  • Information Science
  • Medical Personnel
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Riverine Ecology
  • Urban Planning and Geography.
  • Wetland-Land-Environmental Management.

Technology Areas

  • AI & ML