2009~2019年中国人为CH<sub>4</sub>排放量的估算及时空格局

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Abstract 340 Chinese cities selected as the objects, the anthropogenic CH₄ emissions of China in 2009 and 2019 were calculated, and their spatial and temporal patterns were analyzed based on three primary CH₄ emission sources, including agricultural activities, energy activities and waste disposal sectors by bottom-up accounting methods. The total CH₄ emission in China was 40.71 Tg in 2009, and 42.89 Tg in 2019. Although total CH₄ emission increased, the emission intensity and per capita emissions remained unchanged generally. Among the primary emission sources, agricultural activities, energy activities, and waste disposal produced 24.88 Tg, 12.06 Tg and 3.76 Tg CH₄ emissions in 2009 respectively, of which agricultural activities were the main emission sources. In 2019, their emissions were 16.99 Tg, 21.62 Tg and 4.28 Tg respectively, energy activities being the main source of emissions. Among the secondary emission sources, coal mining contributed the most CH₄. The proportions of each emission source varied greatly in different cities. Agricultural activities in Huai'an, Yangzhou and Nantong emitted the most CH₄, energy activities discharged the most in Jincheng, Datong and Taiyuan, while waste disposal was the main emission in Beijing, Shanghai and Guangzhou. Anthropogenic CH₄ emissions in cities had a significant positive spatial correlation. Cities with high emissions-high concentration decreased and the distribution was concentrated. While cities with low emissions-low concentration increased, and the distribution center shifted to the east. Local urban spatial correlation types showed a strong spatial locking effect and migration inertia. There was a large regional difference between CH₄ emission intensity and per capita CH₄ emission. Theil index of CH₄ emission intensity varies widely between regions, while the gap within the regions is relatively small. When it comes to the CH₄ emission per capita, both the Theil index among and within the regions are small.

Key words： methane emissions anthropogenic emissions listing spatio-temporal pattern greenhouse gases

Received: 05 May 2022

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	CHEN Tian
	PAN Jing-hu

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CHEN Tian,PAN Jing-hu. Estimation and temporal and spatial pattern of anthropogenic CH₄ emissions in China from 2009 to 2019[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(12): 5549-5560.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I12/5549

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