Application of the modified RIAM method in assessing the environmental impact of municipal solid waste management scenarios (A case study)
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Summary
This summary is machine-generated.A modified Rapid Impact Assessment Matrix (RIAM) improves environmental impact assessment for waste management. This enhanced method offers clearer decision-making and is efficient for resource-limited projects.
Area Of Science
- Environmental Science
- Environmental Management
- Engineering
Background
- Traditional Rapid Impact Assessment Matrix (RIAM) has scoring ambiguities impacting environmental decision-making accuracy.
- Municipal solid waste management requires precise tools for evaluating environmental impacts, especially under time and resource constraints.
Purpose Of The Study
- To introduce a modified RIAM approach with refined impact categories for enhanced classification precision.
- To assess the effectiveness of the modified RIAM using a case study of waste management scenarios at the Nazlou landfill.
Main Methods
- A modified RIAM approach was developed with refined impact categories.
- Two waste management scenarios (new landfill cell vs. composting plant) were evaluated using the modified RIAM.
- The Nazlou landfill in Urmia, Iran, served as the case study location.
Main Results
- The modified RIAM facilitated sharper differentiation of environmental impacts, reducing ambiguity in scoring.
- The composting plant scenario was identified as optimal due to positive environmental and socio-cultural impacts and high public acceptance.
- Impact classifications shifted significantly under the modified scheme, with fewer impacts in less severe categories (+D, -C).
Conclusions
- The modified RIAM offers a more precise and efficient tool for environmental impact assessment in municipal solid waste management.
- The refined classification system aids clearer decision-making, particularly for projects with limited time and resources.
- The modified RIAM framework shows potential for broader applications in environmental management and infrastructure planning.
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