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Updated: Jun 8, 2026
10:05
Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
Published on: July 4, 2014
Application of fuzzy logic and sensitivity analysis for soil contamination hazard classification
Donatella Caniani1, Donata Serafina Lioi, Ignazio M Mancini
1Department of Engineering and Physics of Environment, University of Basilicata, viale dell'Ateneo Lucano 10, 85100 Potenza, Italy. donatella.caniani@unibas.it
Waste Management (New York, N.Y.)
|October 19, 2010
Summary
This study introduces a fuzzy logic methodology for quickly assessing pollution hazards from uncontrolled landfills. It prioritizes sites for urgent checks and remediation, optimizing resource allocation.
Area of Science:
- Environmental Science
- Environmental Engineering
- Risk Assessment
Background:
- Uncontrolled landfills pose significant environmental pollution hazards.
- Effective assessment methodologies are crucial for prioritizing remediation efforts.
- Existing methods may lack the efficiency and adaptability for complex environmental data.
Purpose of the Study:
- To develop a rapid and effective methodology for assessing pollution hazards from uncontrolled landfills.
- To classify landfill sites based on their environmental risk.
- To support decision-making for resource optimization in environmental management.
Main Methods:
- Utilized a fuzzy logic approach for hazard assessment.
- Cross-analyzed intrinsic landfill characteristics and territorial data.
- Employed sensitivity analysis to determine optimal fuzzy parameters (trapezoidal function, centroid method).
Main Results:
- Developed a hazard scale for classifying uncontrolled landfill sites.
- Identified key intrinsic and territorial factors contributing to pollution risk.
- Validated the fuzzy approach's effectiveness in prioritizing sites for urgent intervention.
Conclusions:
- The proposed fuzzy approach provides a robust tool for rapid pollution hazard assessment of uncontrolled landfills.
- Sensitivity analysis confirmed the reliability of the chosen fuzzy parameters.
- This methodology aids in optimizing technical and economic resources for environmental management and remediation.
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