Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China
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.
KeywordsAnthropogenic CO2 emissions Megacity WRF-STILT model Tall tower observations Yangtze River Delta China
We would like to express our sincere thanks to Professor Timothy J. Griffis and Professor Xuhui Lee for advice in improving this paper’s logical organization and language, and also thank Professor R. Nassar for providing the hourly scaling factors for the different anthropogenic CO2 source categories. The tall tower data can be accessed at our group website (https://yncenter.sites.yale.edu/zh-hans/data-access).
This research was supported by National Natural Science Foundation of China (grants 41505005 and 41475141), the U.S. National Science Foundation (grants 1640337 and ATM-0546476), the Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology (grant no. 2014r046), the Natural Science Foundation of Jiangsu Province, China (grant BK20150900), the Ministry of Education of China under grant PCSIRT, and the Priority Academic Program Development of Jiangsu Higher Education Institutions.
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