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A fuzzy knowledge-based decision support system for groundwater pollution risk evaluation.

Vito F Uricchio1, Raffaele Giordano, Nicola Lopez

  • 1Water Research Institute, Italian National Research Council, Department of Bari, Via De Blasio 5, 70123 Bari, Italy.

Journal of Environmental Management
|October 12, 2004
PubMed
Summary

This study introduces a decision support system to assess environmental impacts on groundwater quality from human activities. It combines aquifer vulnerability (SINTACS) and hazard data, using fuzzy logic to handle uncertainty and incomplete information.

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Area of Science:

  • Environmental Science
  • Hydrogeology
  • Water Resource Management

Background:

  • Assessing the environmental impact of human activities on groundwater quality is crucial for sustainable water resource management.
  • Incomplete information and uncertainty are significant challenges in environmental planning and decision-making.
  • Existing methods may not adequately integrate aquifer vulnerability and anthropogenic hazard assessments.

Purpose of the Study:

  • To develop and present a novel decision support system (DSS) for evaluating the environmental impact of anthropic activities on groundwater quality.
  • To integrate intrinsic aquifer vulnerability and anthropogenic hazard into a comprehensive assessment framework.
  • To address uncertainty and data gaps inherent in environmental planning using advanced computational techniques.

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Main Methods:

  • Implementation of the SINTACS (Sistema Informativo Nazionale per la Tutela delle Acque Sotterranee) parametric model to determine intrinsic aquifer vulnerability.
  • Integration of a hazard assessment component that considers specific human activities.
  • Application of fuzzy logic and expert judgment within an algorithmic and qualitative approach to manage uncertainty and incomplete information.

Main Results:

  • The proposed DSS effectively combines aquifer vulnerability and hazard data to inform on groundwater quality impacts.
  • The system demonstrates a robust approach to handling uncertainty and data deficiencies common in environmental assessments.
  • Fuzzy logic incorporation allows for a nuanced evaluation of environmental risks and reliability of results.

Conclusions:

  • The developed decision support system offers a valuable tool for environmental planning and groundwater protection.
  • The methodology provides a framework for integrating diverse data sources and addressing uncertainty in hydrogeological assessments.
  • This approach enhances the reliability of environmental impact evaluations, supporting informed decision-making for groundwater resource management.