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

作者：Hu, Cheng^*; Liu, Shoudong^*; Wang, Yongwei; Zhang, Mi; Xiao, Wei; Wang, Wei; Xu, Jiaping

来源：Environmental Science and Pollution Research, 2018, 25(23): 23157-23169.

DOI：10.1007/s11356-018-2325-3

• Anthropogenic CO2 emissions
• Megacity
• WRF-STILT model
• Tall tower observations
• Yangtze River Delta
• 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 similar to 49.7 mu mol mol(-1), 21.4 similar to 52.4 mu mol mol(-1), 28.1 similar to 55.4 mu mol mol(-1), and 29.5 similar to 42.4 mu mol 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.

• 出版日期2018-8
• 单位南京信息工程大学