Environmental Engineering Research

  • 제25권4호
  • /
  • Pages.462-469
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  • 2020
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  • 1226-1025(pISSN)
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  • 2005-968X(eISSN)
대한환경공학회 (Korean Society of Environmental Engineers)
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Prediction of greenhouse gas emission from municipal solid waste for South Korea

  • Popli, Kanchan (Department of Environmental Science and Biotechnology, Hallym University) ;
  • Lim, Jeejae (Department of Environmental Science and Biotechnology, Hallym University) ;
  • Kim, Hyeon Kyeong (Division of Information and Telecommunications, Hanshin University) ;
  • Kim, Young Min (Department of Environmental Science and Biotechnology, Hallym University) ;
  • Tuu, Nguyen Thanh (Department of Environmental Science and Biotechnology, Hallym University) ;
  • Kim, Seungdo (Department of Environmental Science and Biotechnology, Hallym University)
  • 투고 : 2019.01.15
  • 심사 : 2019.07.01
  • 발행 : 2020.08.31
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초록

This study is proposing a System Dynamics Model for estimating Greenhouse Gas (GHG) emission from treating Municipal Solid Waste (MSW) in South Korea for years 2000 to 2030. The government of country decided to decrease the total GHG emission from waste sector in 2030 as per Business-as-usual level. In context, four scenarios are generated to predict GHG emission from treating the MSW with three processes i.e., landfill, incineration and recycling. For prior step, MSW generation rate is projected for present and future case using population and waste generation per capita data. It is found that population and total MSW are directly correlated. The total population will increase to 56.27 million and total MSW will be 21.59 million tons in 2030. The methods for estimating GHG emission from landfill, incineration and recycling are adopted from IPCC, 2006 guidelines. The study indicates that Scenario 2 is best to adopt for decreasing the total GHG emission in future where recycling waste is increased to 75% and landfill waste is decreased to 7.6%. Lastly, it is concluded that choosing proper method for treating the MSW in country can result into savings of GHG emission.

키워드

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  2. Prediction of Solid Waste Generation Rates in Urban Region of Laos Using Socio-Demographic and Economic Parameters with a Multi Linear Regression Approach vol.13, pp.6, 2021, https://doi.org/10.3390/su13063038
  3. Diseño de un modelo de biodigestor anaerobio como alternativa para la generación de metano vol.9, pp.2, 2020, https://doi.org/10.36610/j.jsab.2021.090200081
  4. Design of an anaerobic biodigester model as an alternative for methane generation vol.9, pp.2, 2020, https://doi.org/10.36610/j.jsab.2021.090200081x