An aggregate fuzzy hazardous index for composite wastes

Area of Science:

• Environmental Science
• Chemical Engineering
• Waste Management

Background:

• Industrial processes generate composite wastes with varying hazardous properties.
• Current methods for assessing composite waste hazards are often fragmented and lack a unified index.
• Evaluating waste hazardousness typically requires extensive and costly laboratory analyses.

Purpose of the Study:

• To propose a novel fuzzy waste index for evaluating the hazard of composite industrial wastes.
• To develop an integrated fuzzy hazardous waste index (FHWI) that provides a single-value hazard ranking.
• To offer a cost-effective and transparent decision-making tool for waste management.

Main Methods:

• Utilizing fuzzy logic to process crisp input data on waste component attributes.
• Incorporating National Fire Protection Association (NFPA) hazard rankings for flammability, corrosivity, toxicity, and reactivity.
• Deriving a single-value FHWI from component attributes to represent overall waste hazardousness.

Main Results:

• The proposed fuzzy waste index successfully aggregates multiple hazard attributes into a single, interpretable value.
• Worked examples demonstrate the efficacy of the FHWI in ranking composite waste hazards.
• The FHWI provides a comprehensive initial evaluation without the need for expensive laboratory testing.

Conclusions:

• The fuzzy hazardous waste index (FHWI) offers a robust and transparent methodology for assessing composite waste hazards.
• This approach aids policymakers and decision-makers in initial waste status evaluations.
• The FHWI reduces the reliance on costly laboratory experiments for preliminary hazard assessment.