File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Methodology and applications of city level CO2 emission accounts in China

TitleMethodology and applications of city level CO<inf>2</inf> emission accounts in China
Authors
KeywordsChinese cities
CO emissions inventory 2
Energy balance table
Issue Date2017
Citation
Journal of Cleaner Production, 2017, v. 161, p. 1215-1225 How to Cite?
AbstractChina is the world's largest energy consumer and CO2 emitter. Cities contribute 85% of the total CO2 emissions in China and thus are considered as the key areas for implementing policies designed for climate change adaption and CO2 emission mitigation. However, the emission inventory construction of Chinese cities has not been well researched, mainly owing to the lack of systematic statistics and poor data quality. Focusing on this research gap, we developed a set of methods for constructing CO2 emissions inventories for Chinese cities based on energy balance table. The newly constructed emission inventory is compiled in terms of the definition provided by the IPCC territorial emission accounting approach and covers 47 socioeconomic sectors, 17 fossil fuels and 9 primary industry products, which is corresponding with the national and provincial inventory. In the study, we applied the methods to compile CO2 emissions inventories for 24 common Chinese cities and examined uncertainties of the inventories. Understanding the emissions sources in Chinese cities is the basis for many climate policy and goal research in the future.
Persistent Identifierhttp://hdl.handle.net/10722/334485
ISSN
2023 Impact Factor: 9.7
2023 SCImago Journal Rankings: 2.058
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShan, Yuli-
dc.contributor.authorGuan, Dabo-
dc.contributor.authorLiu, Jianghua-
dc.contributor.authorMi, Zhifu-
dc.contributor.authorLiu, Zhu-
dc.contributor.authorLiu, Jingru-
dc.contributor.authorSchroeder, Heike-
dc.contributor.authorCai, Bofeng-
dc.contributor.authorChen, Yang-
dc.contributor.authorShao, Shuai-
dc.contributor.authorZhang, Qiang-
dc.date.accessioned2023-10-20T06:48:29Z-
dc.date.available2023-10-20T06:48:29Z-
dc.date.issued2017-
dc.identifier.citationJournal of Cleaner Production, 2017, v. 161, p. 1215-1225-
dc.identifier.issn0959-6526-
dc.identifier.urihttp://hdl.handle.net/10722/334485-
dc.description.abstractChina is the world's largest energy consumer and CO2 emitter. Cities contribute 85% of the total CO2 emissions in China and thus are considered as the key areas for implementing policies designed for climate change adaption and CO2 emission mitigation. However, the emission inventory construction of Chinese cities has not been well researched, mainly owing to the lack of systematic statistics and poor data quality. Focusing on this research gap, we developed a set of methods for constructing CO2 emissions inventories for Chinese cities based on energy balance table. The newly constructed emission inventory is compiled in terms of the definition provided by the IPCC territorial emission accounting approach and covers 47 socioeconomic sectors, 17 fossil fuels and 9 primary industry products, which is corresponding with the national and provincial inventory. In the study, we applied the methods to compile CO2 emissions inventories for 24 common Chinese cities and examined uncertainties of the inventories. Understanding the emissions sources in Chinese cities is the basis for many climate policy and goal research in the future.-
dc.languageeng-
dc.relation.ispartofJournal of Cleaner Production-
dc.subjectChinese cities-
dc.subjectCO emissions inventory 2-
dc.subjectEnergy balance table-
dc.titleMethodology and applications of city level CO<inf>2</inf> emission accounts in China-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jclepro.2017.06.075-
dc.identifier.scopuseid_2-s2.0-85020941511-
dc.identifier.volume161-
dc.identifier.spage1215-
dc.identifier.epage1225-
dc.identifier.isiWOS:000407655400105-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats