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| Monitoring Atmospheric Ammonia Column Concentrations in the Hefei Region Using Ground-Based High-Resolution Fourier Transform
Infrared Spectroscopy |
| TONG Ji-ping1, 2, XIE Yu1, 5*, WANG Shi-yi2, 3, YUE Yang1, LI Long1, TAN Wen-zhuo1, SHAN Chang-gong2, QIAN Zheng-wei1, 2, WANG Wei2, 4 |
1. School of Electronic Information and Automation, Hefei University, Hefei 230601, China
2. Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
3. Science Island Branch, Graduate School, University of Science and Technology of China, Hefei 230026, China
4. Institute of Environment Hefei Comprehensive National Science Center, Hefei 230022, China
5. Key Laboratory of Intelligent Computing and Applications of Anhui Province, Huaibei Normal University, Huaibei 235000, China
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Abstract Ammonia (NH3) readily reacts with acidic pollutants in the atmosphere to form secondary inorganic aerosols, which constitute an important component of particulate matter and indirectly affect the environment and health. Thus, detecting the concentration and variation of ammonia in the atmosphere is of great significance for the study of the causes of particulate matter and pollution prevention and control. This study analyzed the variation characteristics of atmospheric NH3 column concentrations and the driving factors behind the variations in Hefei, China, from 2019 to 2023 using high-resolution Fourier Transform Infrared (FTIR)spectroscopy at a ground-based remote sensing site. The reliability of Infrared Atmospheric Sounding Interferometer (IASI) satellite data was also validated. Results showed a significant interannual increasing trend in NH3 column concentrations, especially with an annual growth rate of 35.96% in 2022. Pattern of seasonal variation was clear, with the summer peak (3.74×1016 molec·cm-2) being 4.2 times higher than the winter minimum (0.89×1016 molec·cm-2), driven by intensified agricultural emissions and temperature-enhanced volatilization. Further analysis was conducted on the relationship between the ammonia column concentration and meteorological factors such as atmospheric temperature, wind direction, and wind speed. It was found that only in the spring did the ammonia column concentration show a moderate correlation with atmospheric temperature; in the other seasons, the correlation was weak. Moreover, the observed ammonia column concentration was mainly influenced by the local wind direction, while the influence of wind speed did not show a clear pattern. Diurnal analysis identified dual-peak characteristics during morning (08:00) and evening(16:00) rush hours in spring, summer, and autumn, reflecting contributions from non-agricultural sources such as traffic emissions. Furthermore, comparisons between ground-based FTIR and IASI satellite data demonstrated high consistency, with a correlation coefficient from 0.65 to 0.76. In contrast, satellite data exhibited systematic bias, with relative bias from -1.0% to 8.7%, due to retrieval algorithm limitations and cloud interference. This study revealed the variation characteristics of ammonia column concentrations in the Hefei area and the influencing factors, providing a scientific basis for regional ammonia emission reduction strategies, and verifying the accuracy of satellite data for observations in China.
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Received: 2025-06-12
Accepted: 2025-09-16
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Corresponding Authors:
XIE Yu
E-mail: xieyuwh@163.com
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[1] He Y, Pan Y, Zhang G, et al. Atmospheric Environment, 2020, 235: 117630.
[2] Pinder R W, Walker J T, Bash J O, et al. Geophysical Research Letters, 2011, 38(4): L04802.
[3] LIU Pu, LIU Lei(刘 璞, 刘 磊). Remote Sensing Estimation of Anrmonia Emission in China From 2008 to 2019(2008至2019年中国氨排放的遥感估算). The 25th Symposium on Air Pollution Control Technology(第二十五届大气污染防治技术研讨会), 2021.
[4] Lutsch E, Strong K, Jones D B A, et al. Journal of Geophysical Research: Atmospheres, 2019, 124(14): 8178.
[5] Wang W, Liu C, Clarisse L, et al. Atmospheric Environment, 2022, 287: 119256.
[6] Zhou M Q, Deng Z L, Robert C, et al. Advances in Atmospheric Sciences, 2024, 41(3): 379.
[7] CHEN Pei-lin, XIAO Xin-xin, WANG Qin-geng(陈培林, 肖欣欣, 王勤耕). China Environmental Science(中国环境科学), 2023, 43(6): 2673.
[8] WANG Si-hui, WU Kai, PAN Yue-peng, et al(王思慧, 吴 锴, 潘月鹏, 等). Acta Scientiae Circumstantiae(环境科学学报), 2023, 43(3): 303.
[9] Li B J, Chen L, Shen W S, et al. Atmospheric Chemistry and Physics, 2021, 21(20): 15883.
[10] Liu C, Sun Y W, Shan C G. Engineering, 2023, 22(3): 201.
[11] Vigouroux C, Blumenstock T, Coffey M, et al. Atmospheric Chemistry and Physics, 2015, 15(6): 2915.
[12] Van Damme M, Clarisse L, Franco B, et al. Environmental Research Letters, 2021, 16(5): 055017.
[13] LIU Xue-jun, SHA Zhi-peng, SONG Yu, et al(刘学军，沙志鹏，宋 宇，等). Research of Environmental Sciences（环境科学研究）, 2021, 34(1): 149.
[14] KONG Wang, WU Jing(孔 望, 吴 静). Acta Agriculturae Jiangxi(江西农业学报), 2024, 36(1): 138.
[15] WANG Kang-hong, SHEN Li, ZHAO Rui-dong(王康宏, 沈 丽, 赵睿东). Transactions of Atmospheric Sciences(大气科学学报), 2020, 43(3): 547.
[16] Hou X H, Yu X N. Atmospheric and Oceanic Science Letters, 2020, 13(3): 260.
[17] SHAO Sheng-cheng, CHANG Yun-hua, CAO Fang, et al(邵生成, 常运华, 曹 芳, 等). Environmental Science(环境科学), 2019, 40(10): 4355.
[18] Dammers E, Palm M, Van Damme M, et al. Atmospheric Chemistry and Physics, 2016, 16(16): 10351.
[19] Tournadre B, Chelin P, Ray M, et al. Atmospheric Measurement Techniques, 2020, 13(7): 3923.
[20] Xu J, Lu M, Guo Y, et al. Environmental Science & Technology, 2023, 57(35): 13124.
|
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