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A knowledge-based approach to environmental biomonitoring.

Fragiskos A Batzias1, Christina G Siontorou

  • 1Department of Industrial Management and Technology, University of Piraeus, Karaoli & Dimitriou 80, 185 34 Piraeus, Greece.

Environmental Monitoring and Assessment
|September 8, 2006
PubMed
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This study introduces an intelligent GIS-controlled system using native plants for environmental monitoring. It integrates biological and chemical data to estimate pollution levels and assess biomonitoring capacity cost-effectively.

Area of Science:

  • Environmental Science
  • Bio-monitoring
  • Geographic Information Systems (GIS)

Background:

  • Traditional environmental monitoring relies heavily on instrumental methods, which can be costly and limited in scope.
  • Assessing pollution requires integrating diverse data, including geographical, ecological, and physicochemical information.
  • There is a need for cost-effective, flexible, and reliable long-term environmental monitoring solutions.

Purpose of the Study:

  • To design, develop, and implement an integrated GIS-controlled knowledge-based system for environmental monitoring.
  • To utilize indigenous flora as bioindicators for assessing environmental quality and pollutant concentrations.
  • To establish a framework for a cost-effective, long-term biomonitoring program with dynamic cooperation between instrumental and natural monitoring systems.

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Main Methods:

  • Development of an intelligent computer program integrating geographical, ecological, and physicochemical data.
  • Identification of indigenous species suitable for monitoring specific pollutants.
  • Estimation of ambient pollutant concentrations based on bioindicator populations.
  • Calculation of biomonitoring capacity indices at various scales.
  • Pilot-scale implementation in a large industrial area in Greece.

Main Results:

  • The developed system successfully integrates diverse data for environmental monitoring.
  • The system can identify suitable bioindicator species and estimate pollutant concentrations.
  • A novel framework for cost-effective biomonitoring was conceptualized and designed.
  • Pilot implementation demonstrated the feasibility of the approach in an industrial setting.
  • Results indicate that macro-level financial/organizational schemes are crucial for program sustainability.

Conclusions:

  • The integrated GIS-controlled knowledge-based system offers a cost-effective approach to environmental monitoring using indigenous flora.
  • Dynamic cooperation between instrumental and biomonitoring systems enhances reliability and reduces costs.
  • Long-term viability depends on macro-level financial/organizational support and micro-level resource management.