Assessing the eco-effectiveness of a solid waste management plan using agent-based modelling. (15th April 2021)
- Record Type:
- Journal Article
- Title:
- Assessing the eco-effectiveness of a solid waste management plan using agent-based modelling. (15th April 2021)
- Main Title:
- Assessing the eco-effectiveness of a solid waste management plan using agent-based modelling
- Authors:
- de Souza, Vitor Miranda
Bloemhof, Jacqueline
Borsato, Milton - Abstract:
- Highlights: The eco-effective performance of a waste management state plan is assessed. An agent-based model is used to simulate waste generation, collection, and disposal. At least 650 ktCO2eq of emissions and US$ 40 million in expenditures can be avoided. Abstract: Municipal Solid Waste Management is yet to be eco-effectively performed, especially in developing countries. In Brazil, a considerable fraction of waste has been improperly landfilled, generating environmental, social and economic problems. In 2018, the government of the state of Paraná released a revised version of its waste management plan, defining improvement strategies to be gradually implemented until 2038. However, these strategies' eco-effectiveness has not been forecasted, nor the plan was deployed to the regional level. This research aims to fill this gap, downscaling the plan to the region of Norte Pioneiro, simulating its implementation and monitoring environmental and economic benefits. The dynamics of waste generation, collection and disposal are investigated using an agent-based model, considering the four population growth scenarios addressed in the plan. Targets for strategies of waste reduction, collection, source-separation and charging of waste fees are modelled. Multiple simulation runs were performed and outputs assessed and discussed. Results show that, if the plan is thoroughly implemented since 2020, at least 650 kilotons of avoided CO 2 eq emissions and US$ 40 million in avoidedHighlights: The eco-effective performance of a waste management state plan is assessed. An agent-based model is used to simulate waste generation, collection, and disposal. At least 650 ktCO2eq of emissions and US$ 40 million in expenditures can be avoided. Abstract: Municipal Solid Waste Management is yet to be eco-effectively performed, especially in developing countries. In Brazil, a considerable fraction of waste has been improperly landfilled, generating environmental, social and economic problems. In 2018, the government of the state of Paraná released a revised version of its waste management plan, defining improvement strategies to be gradually implemented until 2038. However, these strategies' eco-effectiveness has not been forecasted, nor the plan was deployed to the regional level. This research aims to fill this gap, downscaling the plan to the region of Norte Pioneiro, simulating its implementation and monitoring environmental and economic benefits. The dynamics of waste generation, collection and disposal are investigated using an agent-based model, considering the four population growth scenarios addressed in the plan. Targets for strategies of waste reduction, collection, source-separation and charging of waste fees are modelled. Multiple simulation runs were performed and outputs assessed and discussed. Results show that, if the plan is thoroughly implemented since 2020, at least 650 kilotons of avoided CO 2 eq emissions and US$ 40 million in avoided expenditures can be achieved in the most conservative scenario by 2038. Implications from the strategies proposed in the plan are highlighted, and recommendations to improve the plan's eco-effectiveness are outlined. … (more)
- Is Part Of:
- Waste management. Volume 125(2021)
- Journal:
- Waste management
- Issue:
- Volume 125(2021)
- Issue Display:
- Volume 125, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 125
- Issue:
- 2021
- Issue Sort Value:
- 2021-0125-2021-0000
- Page Start:
- 235
- Page End:
- 248
- Publication Date:
- 2021-04-15
- Subjects:
- Municipal solid waste management -- Waste generation forecasting -- net GHG -- Scenario-based simulation
Hazardous wastes -- Periodicals
Refuse and refuse disposal -- Periodicals
363.728 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0956053X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.wasman.2021.02.019 ↗
- Languages:
- English
- ISSNs:
- 0956-053X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9266.674500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23380.xml