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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)
  • Received : 2019.01.15
  • Accepted : 2019.07.01
  • Published : 2020.08.31

Abstract

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.

References

  1. Ministry of Environment Korea. Major policies [Internet]. Available from: http://eng.me.go.kr.
  2. Korea Environmental Policy Bulletin. Volume based waste fee system in Korea. Strategy 2006;1:1-16.
  3. Park JW. 3R Policies of Korea [Internet]. c 2009. Available from:file:///C:/Users/ghye0/Downloads/3R_policies_of_Korea-Mr_June-Woo_Park.pdf.
  4. Sufian MA, Bala BK. Modeling of urban solid waste management system. The case of Dhaka city. Waste Manage. 2007;27:858-868.
  5. Talyan V, Dahiya RP, Anand S, Sreekrishnan TR. Quantification of methane emission from municipal solid waste disposal in Delhi. Resour. Conserv. Recycl. 2007;50:240-259. https://doi.org/10.1016/j.resconrec.2006.06.002
  6. Ministry of Environment. Waste treatment policy and measures in SK background information. 2009;3:1304.
  7. Ryu C. Potential of municipal solid waste for renewable energy production and reduction of greenhouse gas emissions in SK. J. Air Waste Manage. Assoc. 2010;60:176-183. https://doi.org/10.3155/1047-3289.60.2.176
  8. Popli K, Sudibya GL, Kim S. A review of solid waste management using system dynamics modeling. Asian J. Energ. Environ. 2009;10:35-52.
  9. Thanh NP, Matsui Y. Evaluation of the alternative methods for GHG emission mitigation from municipal solid waste management:case study of o Chi Minh City, Vietnam. Asian J. Energ. Environ. 2009;10:35-52.
  10. Sunarto S, Purwanto P, Hadi SP. Quantification of greenhouse gas emissions from municipal solid waste recycling and disposal in Malang city Indonesia. J. Ecol. Eng. 2017;18:74-82. https://doi.org/10.12911/22998993/70237
  11. Park WS. Promise of Seoul. Metropolitan government of Seoul [Internet]. c 2016. Available from: https://ccacoalition.org/en/resources/promise-seoul-taking-action-against-climate-change.
  12. Wen L, Bai L, Zhang E. System dynamic modeling and scenario simulation on Beijing industrial carbon emissions. Environ. Eng. Res. 2016;21:355-364. https://doi.org/10.4491/eer.2016.049
  13. Lee S, Paik HS. Korean household waste management and recycling behavior. Build. Environ. 2011;46:1159-1166. https://doi.org/10.1016/j.buildenv.2010.12.005
  14. Samah MAA, Manaf LA, Ahsan A, Sulaiman WNA, Agamuthu P, D'Silva JL. Household Solid Waste Composition in Balakong City, Malaysia. Trend and Management. Pol. J. Environ. 2013;22:1807-1816.
  15. ATSDR. An overview of environmental health professionals. Chapter2: Landfill gas basics; 2011. p. 3-14.
  16. Stănescu R, Bobirica L. Reducing emissions of greenhouse gases from municipal landfills-between theory and reality. Mitigation of methane emissions. Environ. Eng. Manage. J. 2013;12:1669-1678. https://doi.org/10.30638/eemj.2013.202
  17. Pipatti R, Svardal P. Guidelines for national greenhouse gas inventories. Chapter 3: Solid Waste Disposal Waste. IPCC; 2006.
  18. Jung S. National Inventory GHG Report of Korea. Seoul:Greenhouse Gas Inventory Center of Korea; 2014.
  19. Johnke B. Emissions from waste incineration. Good Practice Guidelines on Uncertainity Manage. Waste Incineration 2009;455-468.
  20. National Inventory GHG Report of Korea. Seoul: Greenhouse Gas Inventory Center of Korea; 2016.
  21. Korea Government. National waste statistic report [Internet]. c2013. Available from: http://eng.me.go.kr.
  22. Turner DA, Williams ID, Kemp S. Greenhouse gas emission factors for recycling of source-segregated waste materials. Resour. Conserv. Recycl. 2015;105:186-197. https://doi.org/10.1016/j.resconrec.2015.10.026
  23. Zlatanovic D. System dynmaics models in management problems solving. Econ. Horiz. 2012;14:25-38.
  24. Korea S. Population trends and projections of the world and Korea. 2015;13-15.
  25. Silpa K. What a Waste 2.0: A global snapshot of solid waste management to 2050. World Bank; 2017.
  26. Pipatti R, Svardal P. Guidelines for national greenhouse gas inventories. Chapter 3: Solid Waste Disposal Waste. IPCC; 2006.
  27. Ezechi EH, Nwabuko CG, Enyinnaya O, Babington CJ. Municipal solid waste management in Aba, Nigeria: Challenges and prospects. Environ. Eng. Res. 2017;22:231-236. https://doi.org/10.4491/eer.2017.100
  28. Kim KY, Kim YJ. Volume-based waste fee system in Korea. 2012:1-132.