Hourly disaggregation of industrial CO2 emissions from Shenzhen, China

作者：Ma, Li; Cai, Bofeng; Wu, Feng; Zeng, Hui^*

来源：Environmental Pollution, 2018, 236: 396-404.

DOI：10.1016/j.envpol.2018.01.090

• Industrial CO2 emission
• Temporal disaggregation
• Uncertainty analysis
• Emission inventory
• Shenzhen

Shenzhen's total industrial CO2 emission was calculated using the IPCC recommended bottom-up approach and data obtained from the China High Resolution Emission Gridded Data (CHRED). Monthly product yield was then used as the proxy to disaggregate a facility's total emission into monthly emissions. Since a thermal power unit's emission changes with daily and hourly power loads, typical power load curves were used as the proxy to disaggregate the monthly emissions on a daily and hourly basis. The daily and hourly emissions of other facilities were calculated according to two specially designed models: the "weekdays + Spring Festival holidays" model for February and the "weekdays + weekends" model for non-February months. The uncertainty ranges associated with the process of the total amount calculation, monthly disaggregation, daily disaggregation and hourly disaggregation were quantitatively estimated. The total combined uncertainty of the hourly disaggregation of "weekdays + weekends" mode was +/- 26.19%, and that of the "weekdays + Spring Festival holidays" mode was +/- 33.06%. These temporal-disaggregation methods and uncertainty estimate approaches could also be used for the industrial air pollutant emission inventory and easily reproduced in the whole country.

• 出版日期2018-5
• 单位北京大学深圳研究生院; 北京大学; 环境保护部环境规划院