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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Adapting EVIAVE methodology as a planning and decision-making tool in Venezuela
M Zamorano1, A Paolini, A Ramos
1Department of Civil Engineering, University of Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain. zamorano@ugr.es
This study demonstrates the successful application of the EVIAVE methodology for diagnosing environmental issues at 22 Venezuelan landfills. The adapted methodology provides crucial data for improving landfill operations and management.
Area of Science:
- Environmental Science
- Waste Management Engineering
Background:
- Municipal waste management in Venezuela faces significant challenges, particularly in landfill location, design, and operation.
- Despite identified negative impacts, no systematic programs exist to address the cause-effect relationships of landfill risks or implement mitigation strategies.
Purpose of the Study:
- To describe the successful application of the EVIAVE methodology for landfill diagnosis in Venezuela.
- To evaluate the environmental problems generated by 22 landfills using quantitative and qualitative methods.
Main Methods:
- Adaptation of the EVIAVE methodology to Venezuela's legal and social context.
- Application of environmental indexes: Landfill Environment, Environmental Risk, Environmental Value, and Probability of Contamination.
- Quantitative and qualitative evaluation of environmental problems at 22 landfills.
Main Results:
- The adapted EVIAVE methodology proved applicable to Venezuelan landfills.
- The study confirmed the methodology's effectiveness as a planning tool.
- Crucial information was generated for developing action plans for landfill improvement.
Conclusions:
- The EVIAVE methodology is an effective tool for landfill diagnosis in Venezuela.
- The findings support informed decision-making for landfill operation, closure, sealing, and recovery.
- Implementation of action plans based on EVIAVE diagnosis can mitigate environmental and health risks.
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