Literature DB >> 29860701

Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China.

Cheng Hu1,2,3, Shoudong Liu4,5, Yongwei Wang6,7, Mi Zhang6,7, Wei Xiao6,7, Wei Wang6,7, Jiaping Xu6,8.   

Abstract

Anthropogenic CO2 emissions from cities represent a major source contributing to the global atmospheric CO2 burden. Here, we examined the enhancement of atmospheric CO2 mixing ratios by anthropogenic emissions within the Yangtze River Delta (YRD), China, one of the world's most densely populated regions (population greater than 150 million). Tower measurements of CO2 mixing ratios were conducted from March 2013 to August 2015 and were combined with numerical source footprint modeling to help constrain the anthropogenic CO2 emissions. We simulated the CO2 enhancements (i.e., fluctuations superimposed on background values) for winter season (December, January, and February). Overall, we observed mean diurnal variation of CO2 enhancement of 23.5~49.7 μmol mol-1, 21.4~52.4 μmol mol-1, 28.1~55.4 μmol mol-1, and 29.5~42.4 μmol mol-1 in spring, summer, autumn, and winter, respectively. These enhancements were much larger than previously reported values for other countries. The diurnal CO2 enhancements reported here showed strong similarity for all 3 years of the study. Results from source footprint modeling indicated that our tower observations adequately represent emissions from the broader YRD area. Here, the east of Anhui and the west of Jiangsu province contributed significantly more to the anthropogenic CO2 enhancement compared to the other sectors of YRD. The average anthropogenic CO2 emission in 2014 was 0.162 (± 0.005) mg m-2 s-1 and was 7 ± 3% higher than 2010 for the YRD. Overall, our emission estimates were significantly smaller (9.5%) than those estimated (0.179 mg m-2 s-1) from the EDGAR emission database.

Entities:  

Keywords:  Anthropogenic CO2 emissions; China; Megacity; Tall tower observations; WRF-STILT model; Yangtze River Delta

Mesh:

Substances:

Year:  2018        PMID: 29860701     DOI: 10.1007/s11356-018-2325-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  7 in total

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  7 in total

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