Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore
The influence of socioeconomic factors, such as population and rapid economic growth, and the change of consumption and living patterns make waste management in Singapore, a complex issue. Due to limited land and resources, the solid waste management scheme requires a comprehensive approach. Therefo...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2016
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| Online Access: | https://hdl.handle.net/10356/80326 http://hdl.handle.net/10220/40472 |
| _version_ | 1826114806471458816 |
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| author | Giannis, Apostolos Chen, Miaoju Yin, Ke Tong, Huanhuan Veksha, Andrei |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Giannis, Apostolos Chen, Miaoju Yin, Ke Tong, Huanhuan Veksha, Andrei |
| author_sort | Giannis, Apostolos |
| collection | NTU |
| description | The influence of socioeconomic factors, such as population and rapid economic growth, and the change of consumption and living patterns make waste management in Singapore, a complex issue. Due to limited land and resources, the solid waste management scheme requires a comprehensive approach. Therefore, system dynamics (SD) modeling was applied to assess alternative strategies for solid waste management by interconnecting landfill capacity and recycling efficiency with reference to the projection on waste generation. Nine different scenarios were investigated to identify the best approach to maintain environmental sustainability without inhibiting the economic growth. Four subsystems (i.e., population, economy, waste recycling, and waste disposal) have been incorporated into the SD model to broaden the effectiveness of the waste management system. Research findings revealed that a high economic pattern and a high recycling rate are recommended to satisfy the requirements for economic growth and environmental sustainability while extending landfill capacity for waste disposal. Even though the balance of expenditure could be increased by the high recycling rate, it meets the need for long-term incineration and landfill planning. |
| first_indexed | 2024-10-01T03:45:20Z |
| format | Journal Article |
| id | ntu-10356/80326 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:45:20Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/803262020-03-07T11:43:29Z Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore Giannis, Apostolos Chen, Miaoju Yin, Ke Tong, Huanhuan Veksha, Andrei School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute Residues and Resource Reclamation Centre Waste management System dynamics (SD) modeling Forecasting Recycling Disposal The influence of socioeconomic factors, such as population and rapid economic growth, and the change of consumption and living patterns make waste management in Singapore, a complex issue. Due to limited land and resources, the solid waste management scheme requires a comprehensive approach. Therefore, system dynamics (SD) modeling was applied to assess alternative strategies for solid waste management by interconnecting landfill capacity and recycling efficiency with reference to the projection on waste generation. Nine different scenarios were investigated to identify the best approach to maintain environmental sustainability without inhibiting the economic growth. Four subsystems (i.e., population, economy, waste recycling, and waste disposal) have been incorporated into the SD model to broaden the effectiveness of the waste management system. Research findings revealed that a high economic pattern and a high recycling rate are recommended to satisfy the requirements for economic growth and environmental sustainability while extending landfill capacity for waste disposal. Even though the balance of expenditure could be increased by the high recycling rate, it meets the need for long-term incineration and landfill planning. Accepted version 2016-05-03T02:41:22Z 2019-12-06T13:47:16Z 2016-05-03T02:41:22Z 2019-12-06T13:47:16Z 2016 2016 Journal Article Giannis, A., Chen, M., Yin, K., Tong, H., & Veksha, A. (2016). Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore. Journal of Material Cycles and Waste Management, 1-9. 1438-4957 https://hdl.handle.net/10356/80326 http://hdl.handle.net/10220/40472 10.1007/s10163-016-0503-2 191160 en Journal of Material Cycles and Waste Management @ 2016 Springer Japan. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Material Cycles and Waste Management, Springer Japan. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/s10163-016-0503-2]. application/pdf |
| spellingShingle | Waste management System dynamics (SD) modeling Forecasting Recycling Disposal Giannis, Apostolos Chen, Miaoju Yin, Ke Tong, Huanhuan Veksha, Andrei Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore |
| title | Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore |
| title_full | Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore |
| title_fullStr | Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore |
| title_full_unstemmed | Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore |
| title_short | Application of system dynamics modeling for evaluation of different recycling scenarios in Singapore |
| title_sort | application of system dynamics modeling for evaluation of different recycling scenarios in singapore |
| topic | Waste management System dynamics (SD) modeling Forecasting Recycling Disposal |
| url | https://hdl.handle.net/10356/80326 http://hdl.handle.net/10220/40472 |
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