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Multisource Remote Sensing Based Estimation of Soil NOx Emissions From Fertilized Cropland at High-Resolution: Spatio-Temporal Patterns and Impacts

文献类型：期刊论文

作者Shen, Yonglin4; Xiao, Zemin1; Wang, Yi1,2; Yao, Ling3; Xiao, Wen1,4
刊名JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
出版日期2022-10-27
卷号127期号:20页码:20
ISSN号2169-897X
DOI10.1029/2022JD036741
通讯作者Xiao, Wen(wen.xiao@cug.edu.cn)
英文摘要Soil nitrogen oxides (NOx) emissions from agricultural areas currently dominate in some regions around the world. Since China is largely an agricultural country, an accurate estimation of soil NOx emissions from agricultural areas is essential for monitoring air pollution. In this study, we use high-resolution multi-source remote sensing data to enhance data inputs to existing empirical NOx emission models, with a particular emphasis on crop phenological features and the impact of nitrogen fertilizer application on NOx at the grid level. As a result, a high-resolution emission inventory of soil NOx from agricultural areas in China is built. According to the emission inventory, total national NOx emissions from fertilized croplands were 3,741 +/- 0.39, 3,231 +/- 0.39, and 3,059 +/- 0.39 Gg N/yr during 2017-2019, respectively. Moreover, in 2017, soil NOx emissions contributed to 17.3% of the total emissions. It was found the "Hu Huanyong Line" (Hu line) is a dividing line for China's agricultural soil NOx emissions, with soil NOx emissions dominating in the west of the Hu line while being high in the east. The results also show that emissions are highest in summer and lowest in winter, with a significant difference between the two seasons. Furthermore, crop cultivation structure can affect overall soil NOx emissions, which suggests a potential NOx reduction strategy. We demonstrate that the established emission inventory can precisely reflect the distribution of soil NOx emissions in China's agricultural areas, which will be beneficial to overall NOx emission control and air quality improvement.
WOS关键词NITRIC-OXIDE EMISSIONS ; NITROUS-OXIDE ; OMI OBSERVATIONS ; SATELLITE DATA ; CHINA ; INVENTORY ; MODEL ; SURFACE ; SYSTEM ; IMPLEMENTATION
资助项目National Key Research and Development Program of China[2020YFB2103403] ; National Natural Science Foundation of China[42271397] ; Open Fund of Key Laboratory of National Geographical Census and Monitoring, Ministry of Natural Resources[2022NGCM05]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000868686100001
出版者AMER GEOPHYSICAL UNION
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Open Fund of Key Laboratory of National Geographical Census and Monitoring, Ministry of Natural Resources
源URL[http://ir.igsnrr.ac.cn/handle/311030/186008]  
专题中国科学院地理科学与资源研究所
通讯作者Xiao, Wen
作者单位1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China
2.China Univ Geosci, Sch Geog & Informat Engn, Key Lab Reg Ecol & Environm Change, Wuhan, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
4.China Univ Geosci, Natl Engn Res Ctr Geog Informat Syst, Wuhan, Peoples R China
推荐引用方式
GB/T 7714		 Shen, Yonglin,Xiao, Zemin,Wang, Yi,et al. Multisource Remote Sensing Based Estimation of Soil NOx Emissions From Fertilized Cropland at High-Resolution: Spatio-Temporal Patterns and Impacts[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2022,127(20):20.
APA Shen, Yonglin,Xiao, Zemin,Wang, Yi,Yao, Ling,&Xiao, Wen.(2022).Multisource Remote Sensing Based Estimation of Soil NOx Emissions From Fertilized Cropland at High-Resolution: Spatio-Temporal Patterns and Impacts.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,127(20),20.
MLA Shen, Yonglin,et al."Multisource Remote Sensing Based Estimation of Soil NOx Emissions From Fertilized Cropland at High-Resolution: Spatio-Temporal Patterns and Impacts".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 127.20(2022):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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