中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessment of Indirect N2O Emission Factors from Agricultural River Networks Based on Long-Term Study at High Temporal Resolution

文献类型:期刊论文

作者Qin, Xiaobo1; Li, Yong5; Goldberg, Stefanie4; Wan, Yunfan1; Fan, Meirong3; Liao, Yulin2; Wang, Bin1; Gao, Qingzhu1; Li, Yu'e1
刊名ENVIRONMENTAL SCIENCE & TECHNOLOGY
出版日期2019-09-17
卷号53期号:18页码:10781-10791
ISSN号0013-936X
DOI10.1021/acs.est.9b03896
通讯作者Qin, Xiaobo(qiruciaobo@caas.cn)
英文摘要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.
WOS研究方向Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000487163000028
源URL[http://ir.kib.ac.cn/handle/151853/69925]  
专题昆明植物研究所_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.Soils & Fertilizer Inst Hunan Prov, Changsha 410125, Hunan, Peoples R China
3.Changsha Environm Protect Coll, Changsha 410004, Hunan, Peoples R China
4.Chinese Acad Sci, Kunming Inst Bot, Kunming 6502021, Yunnan, Peoples R China
5.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, 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.

入库方式: OAI收割

来源:昆明植物研究所

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