气候变化领域集成服务门户(CCPortal): Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: Insights from a carbon isotope modeling framework

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DOI	10.5194/acp-21-10015-2021
	Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: Insights from a carbon isotope modeling framework
	Hu C.; Xu J.; Liu C.; Chen Y.; Yang D.; Huang W.; Deng L.; Liu S.; Griffis T.J.; Lee X.
发表日期	2021
ISSN	1680-7316
起始页码	10015
结束页码	10037
卷号	21 期号:13
英文摘要	The atmospheric carbon dioxide (CO2) mixing ratio and its carbon isotope (δ13C-CO2) composition contain important CO2 sink and source information spanning from ecosystem to global scales. The observation and simulation for both CO2 and δ13C-CO2 can be used to constrain regional emissions and better understand the anthropogenic and natural mechanisms that control δ13C-CO2 variations. Such work remains rare for urban environments, especially megacities. Here, we used near-continuous CO2 and δ13C-CO2 measurements, from September 2013 to August 2015, and inverse modeling to constrain the CO2 budget and investigate the main factors that dominated δ13C-CO2 variations for the Yangtze River delta (YRD) region, one of the largest anthropogenic CO2 hotspots and densely populated regions in China. We used the WRF-STILT model framework with category-specified EDGAR v4.3.2 CO2 inventories to simulate hourly CO2 mixing ratios and δ13C-CO2, evaluated these simulations with observations, and constrained the total anthropogenic CO2 emission. We show that (1) top-down and bottom-up estimates of anthropogenic CO2 emissions agreed well (bias <6%) on an annual basis, (2) the WRF-STILT model can generally reproduce the observed diel and seasonal atmospheric δ13C-CO2 variations, and (3) anthropogenic CO2 emissions played a much larger role than ecosystems in controlling the δ13C-CO2 seasonality. When excluding ecosystem respiration and photosynthetic discrimination in the YRD area, δ13C-CO2 seasonality increased from 1.53‰ to 1.66‰. (4) Atmospheric transport processes in summer amplified the cement CO2 enhancement proportions in the YRD area, which dominated monthly δs (the mixture of δ13C-CO2 from all regional end-members) variations. These findings show that the combination of long-term atmospheric carbon isotope observations and inverse modeling can provide a powerful constraint on the carbon cycle of these complex megacities. © 2021 Cheng Hu et al.
语种	英语
scopus关键词	air quality; anthropogenic source; atmospheric pollution; carbon dioxide; carbon isotope; mixing ratio; pollution monitoring; China; Yangtze River
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246761
作者单位	College of Biology and the Environment, Joint Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China; Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Jiangsu Climate Center, China Meteorological Administration, Nanjing, 210009, China; Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang, 330013, China; Ningbo Meteorological Observatory, Ningbo, 315012, China; Ecological Meteorology Center, Jiangxi Meteorological Bureau, Nanchang, 330096, China; Department of Soil, Water, and Climate, University of Minnesota-Twin Cities, St. Paul, MN, United States; School of Forestry and Environmental Studies, Yale University, New Haven, CT, United States
推荐引用方式 GB/T 7714	Hu C.,Xu J.,Liu C.,et al. Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: Insights from a carbon isotope modeling framework[J],2021,21(13).
APA	Hu C..,Xu J..,Liu C..,Chen Y..,Yang D..,...&Lee X..(2021).Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: Insights from a carbon isotope modeling framework.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(13).
MLA	Hu C.,et al."Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: Insights from a carbon isotope modeling framework".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.13(2021).