New and Improved Methods for Monitoring Air Quality and the Terrestrial Environment.

Abstract

Honey bees (Apis mellifera L.) have been shown to be multi-media monitors of chemical exposures and biotic effects. However, most methods of measuring honey bee colony population dynamics have been time-intensive and subject to observer error. This four-year project has developed an automated system to assess continuously (in real-time) colony flight activity, temperature and relative humidity in the brood nest, total hive biomass, pollen collected, and a full spectrum of ambient weather information. Pollen, dead bees removed by housekeeping bees, and the chemical composition of the air inside the hive can be sampled daily. Field applications are ongoing at the Aberdeen Proving Ground- Edgewood area, where 21 electronic beehives have monitored three sites. These studies also address the applicability of artificial neural networks to quickly decipher patterns of bee behavior and to fingerprint hive chemistry. The primary intent of this project is to improve the ability to monitor stressors, both natural and anthropogenic. Preliminary results indicate that colonies respond to some environmental factors in less than two minutes.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1996
Accession Number
ADA326262

Entities

People

  • Bruce E. King
  • Garon C. Smith
  • Ghassan Alnasser
  • Jerry J. Bromenshenk
  • Robert A. Seccomb

Organizations

  • University of Montana

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Alkenes
  • Chemical Analysis
  • Chemical Synthesis
  • Chemical Warfare Agents
  • Chemistry
  • Computer Programs
  • Computers
  • Data Processing
  • Databases
  • Environment
  • Environmental Protection
  • Groundwater
  • Measurement
  • Medical Personnel
  • Organic Chemistry
  • Warning Systems
  • Weather Stations

Fields of Study

  • Environmental science

Readers

  • Aerospace Test and Evaluation
  • Aquatic Ecology
  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.

Technology Areas

  • AI & ML
  • Microelectronics