A high spatial resolution CO2 emission inventory in Beijing

doi:10.12006/j.issn.1673-1719.2021.192

Abstract

Abstract:

Different from the traditional bottom-up approach, a combination of bottom-up and top-down methods was used to measure the Beijing high spatial resolution CO₂ emission inventory. From the bottom-up approach, based on the data of nearly 13000 facilities (power station boilers, industrial kilns, heating boilers), the fossil energy consumption and carbon dioxide emissions of fixed sources were calculated. From the top-down approach, the energy consumption of boilers in different industries were verified using the energy consumption sheet by sectors, thus the systematic errors of the emission inventory were controlled at a macro level. It's found that the central urban area was still the region with the highest carbon density and intensity. To formulate a low-carbon policy for the next stage, Beijing needs to pay more attention to carbon emissions from road traffic, commercial buildings and residents' lives.

Key words: Emission inventory, Combination of bottom-up and top-down, Temporal and spatial distribution

LIAO Hong-Yun, ZHAO Meng, LI Yan-Xia. A high spatial resolution CO₂ emission inventory in Beijing[J]. Climate Change Research, 2022, 18(2): 188-195.

Figures/Tables 6

Table 1 Definition of emission sources and emission accounting method

Table 2 Spatial decomposition method of emission inventory

Fig. 1 Comparison between the results of this study and the statistical yearbook

Fig. 2 Distribution of carbon emission sources in Beijing in 2017

Table 3 CO2 emission characteristics of different regions in Beijing in 2017

Fig. 3 CO2 emissions of 1 km × 1 km grid in Beijing in 2017

References 23

[1]	蒋小谦, 房伟权, 庄贵阳, 等. 城市温室气体核算工具2.0 [R/OL]. 2015 [2021-03-10]. http://www.wri.org.cn/node/41204.
	Jiang X Q, Fang W Q, Zhuang G Y, et al. Urban greenhouse gas accounting tools [R/OL]. 2015 [2021-03-10]. http://www.wri.org.cn/node/41204 (in Chinese)
[2]	绿色创新发展中心. 低碳试点城市峰值研究及绿色转型工作进展情况概览 [R/OL]. 2017 [2021-03-10]. http://www.igdp.cn.
	Innovative Green Development Program. Overview of research on peak value of low carbon pilot cities and progress of green transformation [R/OL]. 2017 [2021-03-10]. http://www.igdp.cn (in Chinese)
[3]	Oda T, Maksyutov S, Andres R J. The open-source data inventory for anthropogenic CO₂, version 2016 (ODIAC2016): a global monthly fossil fuel CO₂ gridded emissions data product for tracer transport simulations and surface flux inversions[J]. Earth System Science Data, 2018, 10(1):87-107 doi: 10.5194/essd-10-87-2018 URL
[4]	Janssens-Maenhout G, Crippa M, Guizzardi D, et al. EDGAR v4.3.2 global atlas of the three major greenhouse gas emissions for the period 1970 & 2012[J]. Earth System Science Data Discussions, 2019, 11:959-1002
[5]	Zheng B, Tong D, Li M, et al. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions[J]. Atmospheric Chemistry and Physics, 2018, 18(19):14095-14111
[6]	Wang R S, Tao P, Ciais P, et al. High-resolution mapping of combustion processes and implications for CO₂ emissions[J]. Atmospheric Chemistry and Physics, 2013, 12(8):21211-21239
[7]	Liu M, Wang H, Oda T, et al. Refined estimate of China's CO₂ emissions in spatiotemporal distributions[J]. Atmospheric Chemistry and Physics, 2013, 13(21):10873-10882
[8]	Cai B S, Liang S, Zhou J, et al. China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data[J]. Resources, Conservation and Recycling, 2018, 129:232-239 doi: 10.1016/j.resconrec.2017.10.036 URL
[9]	Han P F, Zeng N, Oda T, et al. A city-level comparison of fossil-fuel and industry processes-induced CO₂ emissions over the Beijing-Tianjin-Hebei region from eight emission inventories[J]. Carbon Balance and Management, 2020, 15(1). DOI: 10.1186/s13021-020-00163-2 doi: 10.1186/s13021-020-00163-2
[10]	王庆一. 中国能源统计系统改革的几点建议 [R/OL]. 自然资源保护协会, 2014 [2021-06-01]. http://www.nrdc.cn/information/informationinfo?id=122&cook=2.
	Wang Q Y. Recommendations for China energy statistics [R/OL]. Natural Resources Defense Council, 2014 [2021-06-01]. http://www.nrdc.cn/information/informationinfo?id=122&cook=2 (in Chinese)
[11]	北京统计局. 北京统计年鉴2018 [M]. 北京: 中国统计出版社, 2018.
	Beijing Municipal Bureau of Statistics. Beijing statistical yearbook 2018 [M]. Beijing: China Statistics Press, 2018 (in Chinese)
[12]	北京市统计局. 北京市2019年国民经济和社会发展统计公报 [EB/OL]. 2020 [2021-02-12]. http://tjj.beijing.gov.cn/tjsj_31433/tjgb_31445/ndgb_31446/202003/t20200302_1673343.html.
	Beijing Municipal Bureau of Statistics. Statistical bulletin of Beijing's national economic and social development in 2019 [EB/OL]. 2020 [2021-02-12] http://tjj.beijing.gov.cn/tjsj_31433/tjgb_31445/ndgb_31446/202003/t20200302_1673343.html (in Chinese)
[13]	生态环境部. 北京2013—2018年大气污染治理历程 [R/OL]. 2019 [2021-02-12]. https://www.cenews.com.cn/pollution_ctr/xydt/201909/t20190925_910689.html.
	Ministry of Ecology and Environment of The People's Republic of China. The course of air pollution control in Beijing from 2013 to 2018[R/OL]. 2019 [2021-02-12]. https://www.cenews.com.cn/pollution_ctr/xydt/201909/t20190925_910689.html (in Chinese)
[14]	全国汽车标准化技术委员会. GB/T 15089 机动车辆及挂车分类2001[R/OL]. 2001 [2020-01-01]. https://www.waizi.org.cn/bz/88997.html.
	National Technical Committee of Auto Standardization. GB/T 15089 classification of power-driven vehicles and trailers. [R/OL]. 2001 [2020-01-01]. https://www.waizi.org.cn/bz/88997.html (in Chinese)
[15]	国家标准化管理委员会. GB/T 36670—2018 城市道路交通组织设计规范 [R/OL]. 2018 [2021-02-12]. https://max.book118.com/html/2018/1024/7122021024001154.shtm.
	National Standardization Administration. GB/T 36670—2018 guideline on the design of traffic operation of urban roads [R/OL]. 2018 [2021-02-12]. https://max.book118.com/html/2018/1024/7122021024001154.shtm (in Chinese)
[16]	国家发展和改革委员会应对气候变化司. 省级温室气体清单编制指南(试行) [R/OL]. 2011 [2021-02-12]. http://cn.edcmee.org.cn/ptfb/zcbz/202106/P020210601177040314696.pdf.
	Department of Climate Change, National Development and Reform Commission. Guidelines for the compilation of provincial greenhouse gas inventories (Trial) [R/OL]. 2011 [2021-02-12]. http://cn.edcmee.org.cn/ptfb/zcbz/202106/P020210601177040314696.pdf (in Chinese)
[17]	陈操操, 邱大庆, 于凤菊, 等. 北京市燃气工业锅炉CO₂排放因子及不确定性分析[J]. 环境科学研究, 2020, 33(8):1-10.
	Chen C C, Qiu D Q, Yu F J, et al. Carbon dioxide emissions factor of nature gas boiler and its uncertainty in Beijing[J]. Research of Environmental Sciences, 2020, 33(8):1-10 (in Chinese)
[18]	Li Y, Lv C, Yang N, et al. A study of high temporal-spatial resolution greenhouse gas emissions inventory for on-road vehicles based on traffic speed-flow model: a case of Beijing[J]. Journal of Cleaner Production, 2020, 277:122419 doi: 10.1016/j.jclepro.2020.122419 URL
[19]	国家统计局. 中国能源统计年鉴2018 [M]. 北京: 中国统计出版社, 2018.
	National Bureau of Statistics. China energy statistical yearbook 2018 [M]. Beijing: China Statistics Press, 2018 (in Chinese)
[20]	徐新良. 中国GDP空间分布公里网格数据集 [DB/OL]. 中国科学院资源环境科学数据中心数据注册与出版系统, 2017 [2020-01-01]. http://www.resdc.cn/DOI.
	Xu X L. Kilometer grid data set of China's GDP spatial distribution [DB/OL]. Data Registration and Publishing System of Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, 2017 [2020-01-01]. http://www.resdc.cn/DOI (in Chinese)
[21]	戴彦德, 康艳兵, 熊小平, 等. 2050中国能源和碳排放情景暨能源转型与低碳发展路线图[M]. 北京: 中国环境出版社, 2017.
	Dai Y D, Kang Y B, Xiong X P, et al. Energy development and carbon emission scenarios towards 2050 energy transition and low carbon development roadmap for China [M]. Beijing: China Environment Press, 2017 (in Chinese)
[22]	IPCC. 2019 refinement to the 2006 IPCC guidelines for national greenhouse gas inventories [R/OL]. 2019 [2020-01-01]. https://www.ipcc.ch/report/2019-refinement-to-the-2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/
[23]	联合国环境规划署. 北京二十年大气污染治理历程与展望 [R/OL]. 2019 [2021-02-12]. http://sthjj.beijing.gov.cn/bjhrb/index/ztzl/bj20ndqwrzllcyzw/index.html.
	UNEP. A review of 20 years' air pollution control in Beijing [R/OL]. 2019 [2021-02-12]. http://sthjj.beijing.gov.cn/bjhrb/index/ztzl/bj20ndqwrzllcyzw/index.html (in Chinese)

A high spatial resolution CO₂ emission inventory in Beijing

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