A benchmark city-level carbon dioxide emission inventory for China in 2005

Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a unifor...
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Autor*in:	Cai, Bofeng [verfasserIn] Lu, Jun [verfasserIn] Wang, Jinnan [verfasserIn] Dong, Huijuan [verfasserIn] Liu, Xiaoman [verfasserIn] Chen, Yang [verfasserIn] Chen, Zhanming [verfasserIn] Cong, Jianhui [verfasserIn] Cui, Zhipeng [verfasserIn] Dai, Chunyan [verfasserIn] Fang, Kai [verfasserIn] Feng, Tong [verfasserIn] Guo, Jie [verfasserIn] Li, Fen [verfasserIn] Meng, Fanxin [verfasserIn] Tang, Wei [verfasserIn] Wang, Gengzhe [verfasserIn] Xie, Yunsheng [verfasserIn] Zhang, Jianjun [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	CHRED database CO Chinese cities Baseline inventory

Übergeordnetes Werk:	Enthalten in: Applied energy - Amsterdam [u.a.] : Elsevier Science, 1975, 233, Seite 659-673
Übergeordnetes Werk:	volume:233 ; pages:659-673

DOI / URN:	10.1016/j.apenergy.2018.10.016

Katalog-ID:	ELV001186477

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520			\|a Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China.
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700	1		\|a Tang, Wei \|e verfasserin \|4 aut
700	1		\|a Wang, Gengzhe \|e verfasserin \|4 aut
700	1		\|a Xie, Yunsheng \|e verfasserin \|4 aut
700	1		\|a Zhang, Jianjun \|e verfasserin \|0 (orcid)0000-0001-9357-6778 \|4 aut
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allfields	10.1016/j.apenergy.2018.10.016 doi (DE-627)ELV001186477 (ELSEVIER)S0306-2619(18)31573-3 DE-627 ger DE-627 rda eng 620 DE-600 52.50 bkl Cai, Bofeng verfasserin aut A benchmark city-level carbon dioxide emission inventory for China in 2005 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China. CHRED database CO Chinese cities Baseline inventory Lu, Jun verfasserin aut Wang, Jinnan verfasserin aut Dong, Huijuan verfasserin (orcid)0000-0002-4424-8468 aut Liu, Xiaoman verfasserin aut Chen, Yang verfasserin aut Chen, Zhanming verfasserin aut Cong, Jianhui verfasserin aut Cui, Zhipeng verfasserin aut Dai, Chunyan verfasserin aut Fang, Kai verfasserin aut Feng, Tong verfasserin aut Guo, Jie verfasserin aut Li, Fen verfasserin aut Meng, Fanxin verfasserin aut Tang, Wei verfasserin aut Wang, Gengzhe verfasserin aut Xie, Yunsheng verfasserin aut Zhang, Jianjun verfasserin (orcid)0000-0001-9357-6778 aut Enthalten in Applied energy Amsterdam [u.a.] : Elsevier Science, 1975 233, Seite 659-673 Online-Ressource (DE-627)320406709 (DE-600)2000772-3 (DE-576)256140251 1872-9118 nnns volume:233 pages:659-673 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.50 Energietechnik: Allgemeines AR 233 659-673
spelling	10.1016/j.apenergy.2018.10.016 doi (DE-627)ELV001186477 (ELSEVIER)S0306-2619(18)31573-3 DE-627 ger DE-627 rda eng 620 DE-600 52.50 bkl Cai, Bofeng verfasserin aut A benchmark city-level carbon dioxide emission inventory for China in 2005 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China. CHRED database CO Chinese cities Baseline inventory Lu, Jun verfasserin aut Wang, Jinnan verfasserin aut Dong, Huijuan verfasserin (orcid)0000-0002-4424-8468 aut Liu, Xiaoman verfasserin aut Chen, Yang verfasserin aut Chen, Zhanming verfasserin aut Cong, Jianhui verfasserin aut Cui, Zhipeng verfasserin aut Dai, Chunyan verfasserin aut Fang, Kai verfasserin aut Feng, Tong verfasserin aut Guo, Jie verfasserin aut Li, Fen verfasserin aut Meng, Fanxin verfasserin aut Tang, Wei verfasserin aut Wang, Gengzhe verfasserin aut Xie, Yunsheng verfasserin aut Zhang, Jianjun verfasserin (orcid)0000-0001-9357-6778 aut Enthalten in Applied energy Amsterdam [u.a.] : Elsevier Science, 1975 233, Seite 659-673 Online-Ressource (DE-627)320406709 (DE-600)2000772-3 (DE-576)256140251 1872-9118 nnns volume:233 pages:659-673 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.50 Energietechnik: Allgemeines AR 233 659-673
allfields_unstemmed	10.1016/j.apenergy.2018.10.016 doi (DE-627)ELV001186477 (ELSEVIER)S0306-2619(18)31573-3 DE-627 ger DE-627 rda eng 620 DE-600 52.50 bkl Cai, Bofeng verfasserin aut A benchmark city-level carbon dioxide emission inventory for China in 2005 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China. CHRED database CO Chinese cities Baseline inventory Lu, Jun verfasserin aut Wang, Jinnan verfasserin aut Dong, Huijuan verfasserin (orcid)0000-0002-4424-8468 aut Liu, Xiaoman verfasserin aut Chen, Yang verfasserin aut Chen, Zhanming verfasserin aut Cong, Jianhui verfasserin aut Cui, Zhipeng verfasserin aut Dai, Chunyan verfasserin aut Fang, Kai verfasserin aut Feng, Tong verfasserin aut Guo, Jie verfasserin aut Li, Fen verfasserin aut Meng, Fanxin verfasserin aut Tang, Wei verfasserin aut Wang, Gengzhe verfasserin aut Xie, Yunsheng verfasserin aut Zhang, Jianjun verfasserin (orcid)0000-0001-9357-6778 aut Enthalten in Applied energy Amsterdam [u.a.] : Elsevier Science, 1975 233, Seite 659-673 Online-Ressource (DE-627)320406709 (DE-600)2000772-3 (DE-576)256140251 1872-9118 nnns volume:233 pages:659-673 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.50 Energietechnik: Allgemeines AR 233 659-673
allfieldsGer	10.1016/j.apenergy.2018.10.016 doi (DE-627)ELV001186477 (ELSEVIER)S0306-2619(18)31573-3 DE-627 ger DE-627 rda eng 620 DE-600 52.50 bkl Cai, Bofeng verfasserin aut A benchmark city-level carbon dioxide emission inventory for China in 2005 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China. CHRED database CO Chinese cities Baseline inventory Lu, Jun verfasserin aut Wang, Jinnan verfasserin aut Dong, Huijuan verfasserin (orcid)0000-0002-4424-8468 aut Liu, Xiaoman verfasserin aut Chen, Yang verfasserin aut Chen, Zhanming verfasserin aut Cong, Jianhui verfasserin aut Cui, Zhipeng verfasserin aut Dai, Chunyan verfasserin aut Fang, Kai verfasserin aut Feng, Tong verfasserin aut Guo, Jie verfasserin aut Li, Fen verfasserin aut Meng, Fanxin verfasserin aut Tang, Wei verfasserin aut Wang, Gengzhe verfasserin aut Xie, Yunsheng verfasserin aut Zhang, Jianjun verfasserin (orcid)0000-0001-9357-6778 aut Enthalten in Applied energy Amsterdam [u.a.] : Elsevier Science, 1975 233, Seite 659-673 Online-Ressource (DE-627)320406709 (DE-600)2000772-3 (DE-576)256140251 1872-9118 nnns volume:233 pages:659-673 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.50 Energietechnik: Allgemeines AR 233 659-673
allfieldsSound	10.1016/j.apenergy.2018.10.016 doi (DE-627)ELV001186477 (ELSEVIER)S0306-2619(18)31573-3 DE-627 ger DE-627 rda eng 620 DE-600 52.50 bkl Cai, Bofeng verfasserin aut A benchmark city-level carbon dioxide emission inventory for China in 2005 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China. CHRED database CO Chinese cities Baseline inventory Lu, Jun verfasserin aut Wang, Jinnan verfasserin aut Dong, Huijuan verfasserin (orcid)0000-0002-4424-8468 aut Liu, Xiaoman verfasserin aut Chen, Yang verfasserin aut Chen, Zhanming verfasserin aut Cong, Jianhui verfasserin aut Cui, Zhipeng verfasserin aut Dai, Chunyan verfasserin aut Fang, Kai verfasserin aut Feng, Tong verfasserin aut Guo, Jie verfasserin aut Li, Fen verfasserin aut Meng, Fanxin verfasserin aut Tang, Wei verfasserin aut Wang, Gengzhe verfasserin aut Xie, Yunsheng verfasserin aut Zhang, Jianjun verfasserin (orcid)0000-0001-9357-6778 aut Enthalten in Applied energy Amsterdam [u.a.] : Elsevier Science, 1975 233, Seite 659-673 Online-Ressource (DE-627)320406709 (DE-600)2000772-3 (DE-576)256140251 1872-9118 nnns volume:233 pages:659-673 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.50 Energietechnik: Allgemeines AR 233 659-673
language	English
source	Enthalten in Applied energy 233, Seite 659-673 volume:233 pages:659-673
sourceStr	Enthalten in Applied energy 233, Seite 659-673 volume:233 pages:659-673
format_phy_str_mv	Article
bklname	Energietechnik: Allgemeines
institution	findex.gbv.de
topic_facet	CHRED database CO Chinese cities Baseline inventory
dewey-raw	620
isfreeaccess_bool	false
container_title	Applied energy
authorswithroles_txt_mv	Cai, Bofeng @@aut@@ Lu, Jun @@aut@@ Wang, Jinnan @@aut@@ Dong, Huijuan @@aut@@ Liu, Xiaoman @@aut@@ Chen, Yang @@aut@@ Chen, Zhanming @@aut@@ Cong, Jianhui @@aut@@ Cui, Zhipeng @@aut@@ Dai, Chunyan @@aut@@ Fang, Kai @@aut@@ Feng, Tong @@aut@@ Guo, Jie @@aut@@ Li, Fen @@aut@@ Meng, Fanxin @@aut@@ Tang, Wei @@aut@@ Wang, Gengzhe @@aut@@ Xie, Yunsheng @@aut@@ Zhang, Jianjun @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	320406709
dewey-sort	3620
id	ELV001186477
language_de	englisch
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author	Cai, Bofeng
spellingShingle	Cai, Bofeng ddc 620 bkl 52.50 misc CHRED database misc CO misc Chinese cities misc Baseline inventory A benchmark city-level carbon dioxide emission inventory for China in 2005
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topic_title	620 DE-600 52.50 bkl A benchmark city-level carbon dioxide emission inventory for China in 2005 CHRED database CO Chinese cities Baseline inventory
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title	A benchmark city-level carbon dioxide emission inventory for China in 2005
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title_full	A benchmark city-level carbon dioxide emission inventory for China in 2005
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author_browse	Cai, Bofeng Lu, Jun Wang, Jinnan Dong, Huijuan Liu, Xiaoman Chen, Yang Chen, Zhanming Cong, Jianhui Cui, Zhipeng Dai, Chunyan Fang, Kai Feng, Tong Guo, Jie Li, Fen Meng, Fanxin Tang, Wei Wang, Gengzhe Xie, Yunsheng Zhang, Jianjun
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title_sort	a benchmark city-level carbon dioxide emission inventory for china in 2005
title_auth	A benchmark city-level carbon dioxide emission inventory for China in 2005
abstract	Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China.
abstractGer	Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China.
abstract_unstemmed	Year 2005 is important because it is the base year for the international carbon reduction commitment and national development plans for China. However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. This study will greatly contribute to the city level CO2 emission inventory and research on China.
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title_short	A benchmark city-level carbon dioxide emission inventory for China in 2005
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author2	Lu, Jun Wang, Jinnan Dong, Huijuan Liu, Xiaoman Chen, Yang Chen, Zhanming Cong, Jianhui Cui, Zhipeng Dai, Chunyan Fang, Kai Feng, Tong Guo, Jie Li, Fen Meng, Fanxin Tang, Wei Wang, Gengzhe Xie, Yunsheng Zhang, Jianjun
author2Str	Lu, Jun Wang, Jinnan Dong, Huijuan Liu, Xiaoman Chen, Yang Chen, Zhanming Cong, Jianhui Cui, Zhipeng Dai, Chunyan Fang, Kai Feng, Tong Guo, Jie Li, Fen Meng, Fanxin Tang, Wei Wang, Gengzhe Xie, Yunsheng Zhang, Jianjun
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doi_str	10.1016/j.apenergy.2018.10.016
up_date	2024-07-06T20:31:10.158Z
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However, accurate and robust CO2 emission data for 2005 remain limited, particularly for city-level emissions. To address these gaps, we established a uniform city-level CO2 emission inventory for all the 287 prefecture-level cities in China for 2005, combining the High-Resolution Emission Gridded Database (CHRED) 2.0, statistical data and onsite survey. The results showed that Shanghai, Tangshan, Beijing, Tianjin, Jining, Handan, Chongqing, Suzhou, Shijiazhuang and Wuhan were the ten cities with greatest CO2 emissions in 2005, with total CO2 emissions of 205, 184, 145, 126, 116, 103, 96, 93, 90 and 81 Mt, respectively. These cities were either megacities or those dominated by coal, iron or steel production. However, the three cities with the highest CO2 emissions per GDP and CO2 emissions per capita were Jiayuguan, Wuhai and Shizuishan, which were dominated by industry, small- or medium-sized, and exhibited a high demand for heat and cooling. Cluster analysis revealed that industrial energy consumption was the dominant emission source for most cities, except Haikou and Lhasa, for which indirect CO2 emissions were dominant. 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A benchmark city-level carbon dioxide emission inventory for China in 2005

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