CO2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area
Abstract
:1. Introduction
2. Materials and Methods
2.1. Case Park
2.2. Accounting Boundary and Scope
2.3. Accounting Methods
2.3.1. Energy Consumption
- Fossil fuel combustion
- Electricity consumption
- Heat consumption
2.3.2. Industrial Process
2.3.3. Waste Disposal
2.4. Uncertainty Analysis
3. Results and Discussion
3.1. Total Emissions and Emissions Intensity
3.2. Industrial Energy Consumption Emissions by Sectors
3.3. CO2 Flow Charts of 2016 and 2021
3.4. Uncertainty Analyses
3.4.1. Uncertainty in Activity Level Data
3.4.2. Uncertainty in Emission Factors
3.4.3. Uncertainty in Other Sources
3.5. Comparison of the Study Results with That of Previous Studies
4. Conclusions and Policy Implication
4.1. Conclusions
4.2. Policy Implication
4.3. Future Works
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Parks | Year | GHG Emissions/Mt | Proportion | Reference | ||||
---|---|---|---|---|---|---|---|---|
Scope 1 | Scope 2 | Scope 3 | Scope 1 | Scope 2 | Scope 3 | |||
Suzhou Industrial Park | 2015 | 4.14 | 1.37 | - | 75.11% | 24.89% | - | Yu et al. [25] |
Nanchang High-tech Industrial Development Zone | 0.16 | 0.90 | - | 15.12% | 84.88% | - | ||
Laocheng Economic Development Zone | 5.92 | −4.64 | - | 462.34% | −362.34% | - | ||
Zhengzhou High-tech industrial Development Zone | 0.05 | 0.58 | - | 8.35% | 91.65% | - | ||
Yongcheng Economic and Technology Development Zone | 2017 | 11.80 | 3.00 | - | 79.73% | 20.27% | - | Zhang et al. [40] |
203 National Economic Development Zones | 2015 | 1016 | 71 | 108 | 85.02% | 5.94% | 9.04% | Yan et al. [7] |
2016 | 1087 | 8 | 114 | 89.91% | 0.66% | 9.43% | ||
2017 | 1194 | −8 | 121 | 91.35% | −0.61% | 9.26% | ||
Maanshan Economic and Technological Development Area | 2016 | 0.015 | 0.358 | 0.005 | 3.89% | 94.91% | 1.20% | This study |
2017 | 0.016 | 0.428 | 0.005 | 3.56% | 95.23% | 1.21% | ||
2018 | 0.022 | 0.575 | 0.004 | 3.64% | 95.61% | 0.75% | ||
2019 | 0.021 | 0.585 | 0.015 | 3.44% | 94.17% | 2.39% | ||
2020 | 0.063 | 0.668 | 0.003 | 8.53% | 91.06% | 0.41% | ||
2021 | 0.044 | 0.709 | 0.020 | 5.65% | 91.79% | 2.56% |
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Zhang, J.; Liu, J.; Dong, L.; Qiao, Q. CO2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area. Int. J. Environ. Res. Public Health 2022, 19, 11684. https://doi.org/10.3390/ijerph191811684
Zhang J, Liu J, Dong L, Qiao Q. CO2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area. International Journal of Environmental Research and Public Health. 2022; 19(18):11684. https://doi.org/10.3390/ijerph191811684
Chicago/Turabian StyleZhang, Jian, Jingyang Liu, Li Dong, and Qi Qiao. 2022. "CO2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area" International Journal of Environmental Research and Public Health 19, no. 18: 11684. https://doi.org/10.3390/ijerph191811684