Assessment of Indirect N2O Emission Factors from Agricultural River Networks Based on Long-Term Study at High Temporal Resolution

doi:10.1021/acs.est.9b03896

	Assessment of Indirect N2O Emission Factors from Agricultural River Networks Based on Long-Term Study at High Temporal Resolution
	Qin, Xiaobo 1; Li, Yong 2; Goldberg, Stefanie 3; Wan, Yunfan 1; Fan, Meirong 4; Liao, Yulin 5; Wang, Bin1 ; Gao, Qingzhu 1; Li, Yu'e 1
通讯作者	Qin, Xiaobo(qiruciaobo@caas.cn)
	2019-09-17
发表期刊	ENVIRONMENTAL SCIENCE & TECHNOLOGY
ISSN	0013-936X
卷号	53 期号:18 页码:10781-10791
摘要	Assessment of indirect emission factors (EF5r) of nitrous oxide (N2O) from agricultural river networks remains challenging, and results are uncertain due to limited data availability. This study compared two methods of assessing EF5r using data from long-term observations at high temporal resolution in a typical agricultural catchment in subtropical central China. The concentration method (method 1) and the Intergovernmental Panel on Climate Change (IPCC) 2006 method (method 2) were employed to evaluate the emission factor. EF5r estimated using method 1 (i.e., EF5r1) was 0.00077 +/- 0.00025 (0.00038-0.00097). EF5r calculated using method 2 (i.e., EF5r2) was lower than EF5r1 with a mean value of 0.00004 (0.000015-0.00012). Both EF5r1 and EF5r2 were significantly lower than the IPCC 2006 default value of 0.0025, suggesting that N2O emissions from China and world river networks may be grossly overestimated. A complex N2O production pathway and diffusion mechanism were responsible for the transfer of N2O from the sediment to river water and then to the atmosphere. These findings provide essential data for refining national greenhouse gas inventories and contribute evidence for downward revision of indirect emission factors adopted by the IPCC.
DOI	10.1021/acs.est.9b03896
收录类别	SCI ; SCI
语种	英语
WOS记录号	WOS:000487163000028
引用统计
文献类型	期刊论文
条目标识符	http://ir.kib.ac.cn/handle/151853/69926
专题	中国科学院东亚植物多样性与生物地理学重点实验室
通讯作者	Qin, Xiaobo
作者单位	1.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Key Lab Agroenvironm, Minist Agr & Rural Affairs, 12 Zhongguancun South St, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China 3.Chinese Acad Sci, Kunming Inst Bot, Kunming 6502021, Yunnan, Peoples R China 4.Changsha Environm Protect Coll, Changsha 410004, Hunan, Peoples R China 5.Soils & Fertilizer Inst Hunan Prov, Changsha 410125, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Qin, Xiaobo,Li, Yong,Goldberg, Stefanie,et al. Assessment of Indirect N2O Emission Factors from Agricultural River Networks Based on Long-Term Study at High Temporal Resolution[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2019,53(18):10781-10791.
APA	Qin, Xiaobo.,Li, Yong.,Goldberg, Stefanie.,Wan, Yunfan.,Fan, Meirong.,...&Li, Yu'e.(2019).Assessment of Indirect N2O Emission Factors from Agricultural River Networks Based on Long-Term Study at High Temporal Resolution.ENVIRONMENTAL SCIENCE & TECHNOLOGY,53(18),10781-10791.
MLA	Qin, Xiaobo,et al."Assessment of Indirect N2O Emission Factors from Agricultural River Networks Based on Long-Term Study at High Temporal Resolution".ENVIRONMENTAL SCIENCE & TECHNOLOGY 53.18(2019):10781-10791.

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