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DOI10.5194/acp-19-12051-2019
Estimating global surface ammonia concentrations inferred from satellite retrievals
Liu L.; Zhang X.; Wong A.Y.H.; Xu W.; Liu X.; Li Y.; Mi H.; Lu X.; Zhao L.; Wang Z.; Wu X.; Wei J.
发表日期2019
ISSN16807316
起始页码12051
结束页码12066
卷号19期号:18
英文摘要Ammonia (NH3), as an alkaline gas in the atmosphere, can cause direct or indirect effects on the air quality, soil acidification, climate change and human health. Estimating surface NH3 concentrations is critically important for modeling the dry deposition of NH3 and for modeling the formation of ammonium nitrate, which have important impacts on the natural environment. However, sparse monitoring sites make it challenging and difficult to understand the global distribution of surface NH3 concentrations in both time and space. We estimated the global surface NH3 concentrations for the years of 2008-2016 using satellite NH3 retrievals combining vertical profiles from GEOS-Chem. The accuracy assessment indicates that the satellite-based approach has achieved a high predictive power for annual surface NH3 concentrations compared with the measurements of all sites in China, the US and Europe (R2 0.76 and RMSE 1.50μgNm-3). The satellite-derived surface NH3 concentrations had higher consistency with the ground-based measurements in China (R2 0.71 and RMSE 2.6μgNm-3) than the US (R2 0.45 and RMSE 0.76μgNm-3) and Europe (R2 0.45 and RMSE 0.86μgNm-3) at a yearly scale. Annual surface NH3 concentrations higher than 6μgNm-3 are mainly concentrated in the North China Plain of China and northern India, followed by 2-6μgNm-3 mainly in southern and northeastern China, India, western Europe, and the eastern United States (US). High surface NH3 concentrations were found in the croplands in China, the US and Europe, and surface NH3 concentrations in the croplands in China were approximately double those in the croplands in the US and Europe. The linear trend analysis shows that an increase rate of surface NH3 concentrations (>0.2μgNm-3yr-1) appeared in eastern China during 2008-2016, and a middle increase rate (0.1-0.2μgNm-3yr-1) occurred in northern Xinjiang over China. NH3 increase was also found in agricultural regions in the central and eastern US with an annual increase rate of lower than 0.10μgNm-3yr-1. The satellite-derived surface NH3 concentrations help us to determine the NH3 pollution status in the areas without monitoring sites and to estimate the dry deposition of NH3 in the future. © Author(s) 2019.
语种英语
scopus关键词accuracy assessment; ammonia; ammonium nitrate; concentration (composition); dry deposition; modeling; monitoring; satellite data; vertical profile; China; Europe; United States
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/144130
作者单位College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China; Department of Earth and Environment, Boston University, Boston, MA, United States; College of Resources and Environmental Sciences, Centre for Resources, Environment and Food Security, Key Lab of Plant-Soil Interactions of MOE, China Agricultural University, Beijing, 100193, China; Chief Technology Officer SailBri Cooper Inc., Beaverton, OR 97008, United States; College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, China; Jiangsu Ctr. for Collab. Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China; State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
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Liu L.,Zhang X.,Wong A.Y.H.,et al. Estimating global surface ammonia concentrations inferred from satellite retrievals[J],2019,19(18).
APA Liu L..,Zhang X..,Wong A.Y.H..,Xu W..,Liu X..,...&Wei J..(2019).Estimating global surface ammonia concentrations inferred from satellite retrievals.Atmospheric Chemistry and Physics,19(18).
MLA Liu L.,et al."Estimating global surface ammonia concentrations inferred from satellite retrievals".Atmospheric Chemistry and Physics 19.18(2019).
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