Municipal solid waste landfill siting using intelligent system

Area of Science:

• Environmental Engineering
• Artificial Intelligence
• Waste Management

Background:

• Landfills are the primary method for municipal solid waste disposal.
• Siting new landfills presents complex challenges involving numerous factors.
• Traditional methods may lack the flexibility to adapt to new data.

Purpose of the Study:

• To develop an intelligent system for effective landfill site selection.
• To utilize fuzzy inference to manage uncertainty and multiple criteria in siting.
• To create a flexible system capable of updating its knowledge base.

Main Methods:

• Implementation of a fuzzy inference system for landfill siting.
• Inclusion of key factors: topography, geology, natural resources, socio-cultural aspects, economy, and safety.
• Application of a weighting system for evaluated factors.
• Ranking of potential sites on a scale of 0-100%.

Main Results:

• The proposed fuzzy inference system demonstrates effectiveness in the landfill site selection process.
• The system successfully ranks potential sites based on a comprehensive set of criteria.
• The system's ability to accommodate new information was validated through testing.

Conclusions:

• Intelligent systems based on fuzzy inference offer a robust solution for landfill siting.
• The developed system provides a quantifiable and adaptable approach to waste management challenges.
• This method enhances decision-making for sustainable and safe landfill placement.