Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management
Municipal solid waste (MSW) management poses a significant challenge amidst global population growth and urbanization. With Beijing as a focal point due to its substantial contribution to MSW generation and greenhouse gas (GHG) emissions, this study employs two-stage Bayesian-optimized Artificial Ne...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2024-12-01
|
| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/14981 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850104454562447360 |
|---|---|
| author | Yaxin Cui Min Yee Chin Hong Sheng Loh Chew Tin Lee Pei Ying Ong Yee Van Fan Kok Sin Woon |
| author_facet | Yaxin Cui Min Yee Chin Hong Sheng Loh Chew Tin Lee Pei Ying Ong Yee Van Fan Kok Sin Woon |
| author_sort | Yaxin Cui |
| collection | DOAJ |
| description | Municipal solid waste (MSW) management poses a significant challenge amidst global population growth and urbanization. With Beijing as a focal point due to its substantial contribution to MSW generation and greenhouse gas (GHG) emissions, this study employs two-stage Bayesian-optimized Artificial Neural Network models to forecast MSW removal volume and evaluate associated GHG emissions in Beijing. The analysis integrates socioeconomic indicators, including population and GDP, to elucidate the complex relationship between MSW generation and economic development. Various MSW treatment scenarios are assessed by alternating the configuration of sanitary landfills, incineration, and composting. Results indicate a projected MSW removal volume of approximately 14 Mt by 2060, a 63.16 % reduction compared to 2023. Scenario 2 (50 % incineration and 50 % composting) demonstrates the potential to reduce GHG emissions by approximately 4.11 Mt of CO2e compared to the current practice. The findings underscore the need for comprehensive waste management strategies integrating waste segregation, incineration, and composting to achieve sustainable MSW treatment. |
| format | Article |
| id | doaj-art-5b15fcf6bb894f85b8ed062819a7071c |
| institution | DOAJ |
| issn | 2283-9216 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj-art-5b15fcf6bb894f85b8ed062819a7071c2025-08-20T02:39:19ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162024-12-01114Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management Yaxin CuiMin Yee ChinHong Sheng LohChew Tin LeePei Ying OngYee Van FanKok Sin WoonMunicipal solid waste (MSW) management poses a significant challenge amidst global population growth and urbanization. With Beijing as a focal point due to its substantial contribution to MSW generation and greenhouse gas (GHG) emissions, this study employs two-stage Bayesian-optimized Artificial Neural Network models to forecast MSW removal volume and evaluate associated GHG emissions in Beijing. The analysis integrates socioeconomic indicators, including population and GDP, to elucidate the complex relationship between MSW generation and economic development. Various MSW treatment scenarios are assessed by alternating the configuration of sanitary landfills, incineration, and composting. Results indicate a projected MSW removal volume of approximately 14 Mt by 2060, a 63.16 % reduction compared to 2023. Scenario 2 (50 % incineration and 50 % composting) demonstrates the potential to reduce GHG emissions by approximately 4.11 Mt of CO2e compared to the current practice. The findings underscore the need for comprehensive waste management strategies integrating waste segregation, incineration, and composting to achieve sustainable MSW treatment.https://www.cetjournal.it/index.php/cet/article/view/14981 |
| spellingShingle | Yaxin Cui Min Yee Chin Hong Sheng Loh Chew Tin Lee Pei Ying Ong Yee Van Fan Kok Sin Woon Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management Chemical Engineering Transactions |
| title | Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management |
| title_full | Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management |
| title_fullStr | Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management |
| title_full_unstemmed | Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management |
| title_short | Forecasting Municipal Solid Waste Removal Volume Based on Socioeconomic Indicators for Carbon Reduction Strategy in Beijing’s Waste Management |
| title_sort | forecasting municipal solid waste removal volume based on socioeconomic indicators for carbon reduction strategy in beijing s waste management |
| url | https://www.cetjournal.it/index.php/cet/article/view/14981 |
| work_keys_str_mv | AT yaxincui forecastingmunicipalsolidwasteremovalvolumebasedonsocioeconomicindicatorsforcarbonreductionstrategyinbeijingswastemanagement AT minyeechin forecastingmunicipalsolidwasteremovalvolumebasedonsocioeconomicindicatorsforcarbonreductionstrategyinbeijingswastemanagement AT hongshengloh forecastingmunicipalsolidwasteremovalvolumebasedonsocioeconomicindicatorsforcarbonreductionstrategyinbeijingswastemanagement AT chewtinlee forecastingmunicipalsolidwasteremovalvolumebasedonsocioeconomicindicatorsforcarbonreductionstrategyinbeijingswastemanagement AT peiyingong forecastingmunicipalsolidwasteremovalvolumebasedonsocioeconomicindicatorsforcarbonreductionstrategyinbeijingswastemanagement AT yeevanfan forecastingmunicipalsolidwasteremovalvolumebasedonsocioeconomicindicatorsforcarbonreductionstrategyinbeijingswastemanagement AT koksinwoon forecastingmunicipalsolidwasteremovalvolumebasedonsocioeconomicindicatorsforcarbonreductionstrategyinbeijingswastemanagement |