|
|
|
|
|
|
Study of the Urban NO2 Distribution and Emission Assessment Based on Mobile MAX-DOAS Observations |
LIU Hao-ran1, HU Qi-hou2*, TAN Wei2, SU Wen-jing3, CHEN Yu-jia2, ZHU Yi-zhi2, LIU Jian-guo2 |
1. Institutes of Physical Science and Information Technology, Anhui University , Hefei 230601, China
2. Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
3. School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China |
|
|
Abstract Nitrogen dioxide (NO2) plays a vital role in atmospheric photochemistry. It participates in the catalytic formation of tropospheric ozone (O3) and also contributes to the formation of secondary aerosols. As an important emission product in transportation and industrial processes, NO2 is usually regarded as a proper indicator of the intensity of the anthropogenic emission. Therefore, research on urban NO2 distribution and emissions is very important for urban air pollution control. During January and February 2018, we conducted 4 times mobile measurements based on Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) in the outer route of urban Hengshui. Furthermore, the spatial distribution of the tropospheric NO2 vertical columndensity (VCD) ranges from 0.89×1015~56.33×1015 molecule·cm-2, besides the mean value of each measurement is from 22.42×1015 to 30.20×1015 molecule·cm-2. It can be found the NO2 pollution sources in Hengshui are mainly near the external urban factory cluster in the southeast direction and the overpass section in the east of the outer route. The western and northern areas in Hengshui are relatively clean. If the wind comes from this area, it will play a certain cleaning effect on the pollution source area, which can reduce the NO2 concentration in the source area by more than 20%. During the mobile measurements, we also conducted stationary MAX-DOAS observations. Combined with both measurement results, we evaluated the relative contribution of pollution sources in eastern Hengshui. Combined with both measurement results, we evaluated the relative contribution of NO2 pollution sources area (eastern part of Hengshui), which is 30.1%~61.9% higher than the clean area (western part) and contributes more than 7.89×1015~13.32×1015 molecule·cm-2. With the supplementary of meteorological information simulated by the WRF model, we can calculate the NO2 emission flux in urban Hengshui, which is 0.86×1024 molecules·s-1. This result is relatively lower than other cities in previous studies, which might be caused by two factors: one is the pollution source of Hengshui is not concentrated in the urban area; the other one is due to the research area is only 50 km2 in this study, which is much smaller than the urban area of other studies. For the measured total flux of Hengshui, we found 96.16% is from transportation, and 3.84% is caused by city emission, which indicates that the main pollution source of NO2 in Hengshui City is not located in the inner city. Through the mean value of the OMI tropospheric NO2 with the backward trajectories of air mass during this campaign, we found that Hengshui was also affected by pollution transmission from northern regions (such as Baoding, Langfang) and northwest regions (such as Shijiazhuang). In general, the mobile MAX-DOAS has a good application prospect for urban pollution control, such as for finding the pollution source location, estimating the contribution, and calculating the emission flux of urban areas.
|
Received: 2019-12-02
Accepted: 2020-04-16
|
|
Corresponding Authors:
HU Qi-hou
E-mail: qhhu@aiofm.ac.cn
|
|
[1] Chan K L, Hartl A, Lam Y F, et al. Atmospheric Environment, 2015, 119: 45.
[2] Zhang C, Liu C, Hu Q, et al. Light Sci. Appl., 2019, 8: 100.
[3] Zhang C, Liu C, Chan K L, et al. Light Sci. Appl., 2020, 9: 66.
[4] Tan W, Zhao S, Liu C, et al. Atmospheric Environment, 2019, 200: 228.
[5] Tan W, Liu C, Wang S, et al. Atmospheric Chemistry and Physics, 2018, 18(20): 15387.
[6] Liu H, Liu C, Xie Z, et al. Sci. Rep., 2016, 6: 34408.
[7] Xing C, Liu C, Wang S, et al. Atmospheric Chemistry and Physics, 2017, 17(23): 14275.
[8] Xing C, Liu C, Wang S, et al. Atmospheric Measurement Techniques, 2019, 12(6): 3289.
[9] Chan K L, Wang S, Liu C, et al. Sci. Total Environ., 2016.
[10] Hong Q, Liu C, Chan K L, et al. Atmospheric Chemistry and Physics, 2018, 18(8): 5931.
[11] Shaiganfar R, Beirle S, Denier van der Gon H, et al. Atmospheric Chemistry and Physics, 2017, 17(12): 7853.
[12] Chan K L, Wiegner M, Wenig M, et al. Sci. Total Environ., 2018, 619-620: 1545.
[13] Wang Y, Beirle S, Lampel J, et al. Atmospheric Chemistry and Physics, 2017, 17(8): 5007.
[14] Hong Q, Liu C, Hu Q, et al. Atmospheric Research, 2019, 228: 206. |
[1] |
TANG Quan1, ZHONG Min-jia2, YIN Peng-kun2, ZHANG Zhi3, CHEN Zhen-ming1, WU Gui-rong3*, LIN Qing-yu4*. Imaging of Elements in Plant Under Heavy Metal Stress Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1485-1488. |
[2] |
ZHANG Zhi-dong1, 2, XIE Pin-hua1, 2, 3*, LI Ang2, QIN Min2, FANG Wu2, DUAN Jun2, HU Zhao-kun2, TIAN Xin4LÜ Yin-sheng1, 2, REN Hong-mei2, REN Bo1, 2, HU Feng1, 2. Study of SO2 and NOx Distribution and Emission in Tangshan Based on Mobile DOAS Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1651-1660. |
[3] |
LIU Hong-jun1, NIU Teng1, YU Qiang1*, SU Kai2, YANG Lin-zhe1, LIU Wei1, WANG Hui-yuan1. Inversion and Estimation of Heavy Metal Element Content in Peach Forest Soil in Pinggu District of Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3552-3558. |
[4] |
XU Heng1, LIU Hao-ran1*, JI Xiang-guang2, LI Qi-hua1, LIU Guo-hua1, OU Jin-ping1, ZHU Peng-cheng1. Study on the Tropospheric Column Density of NO2 in Shanghai Based on MAX-DOAS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2720-2725. |
[5] |
ZHAO Yu-hui,LIU Xiao-dong,ZHANG Lei,LIU Yong-hong. Research on Calibration Transfer Method Based on Joint Feature Subspace Distribution Alignment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3411-3417. |
[6] |
SU Jin-tao1, ZHANG Cheng-xin2*, HU Qi-hou3, LIU Hao-ran4, LIU Jian-guo3. Analysis of Spatial and Temporal Change Trend of Xinjiang NO2 in 2007—2017 Based on Satellite Hyperspectral Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1631-1638. |
[7] |
LIU Jian1, LAO Chang-ling2, YUAN Jing3, SUN Meng-he4, LUO Li-qiang5, SHEN Ya-ting5*. Recent Progress in the Application of X-Ray Spectrometry in Biology and Ecological Environment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 675-685. |
[8] |
ZHAO Xiao-rong1,2, LI Yan-hong1,2*. Study on the Relationship Between Urban Traffic Flow and Tropospheric NO2 Vertical Column Density in Oasis on the North Slope of Tianshan Mountain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 345-353. |
[9] |
WU Sheng-yang1,2, HU Ren-zhi1,2*, XIE Pin-hua1,2, LI Zhi-yan1,2, LIU Xiao-yan3, LIN Chuan1,4, CHEN Hao1,2, WANG Feng-yang1,2, WANG Yi-hui1,5, JIN Hua-wei1,2. Real-Time Measurement of NOy (Total Reactive Nitrogen Oxide) by Cavity Ring Down Spectrometer (CRDS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1661-1667. |
[10] |
GUO Jin-ke, LU Ji-long*, YIN Ye-chang, ZHAO Yu-yan, TANG Xiao-dan, FAN Yu-chao, LIU Yang. Application of Portable XRF in Core Geochemical Characteristics of Qujia Gold Deposit in Jiaodong Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(05): 1461-1466. |
[11] |
WANG Shi-xia, GAO Jin-jin. Study on the Influence of Pb Doping on High Pressure Structural Properties of Tin Dioxide Using Diamond Anvil Cell and Raman Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 415-419. |
[12] |
WANG Teng-jun1, 2, ZHAO Ming-hai3, YANG Yun1*, ZHANG Yang2, 4, CUI Qin-fang1, LI Long-tong1. Inversion of Heavy Metals Content in Soil Using Multispectral Remote Sensing Imagery in Daxigou Mining Area of Shaanxi[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(12): 3880-3887. |
[13] |
SUN Hong, XING Zi-zheng, ZHANG Zhi-yong, MA Xu-ying, LONG Yao-wei, LIU Ning, LI Min-zan*. Visualization Analysis of Crop Spectral Index Based on RGB-NIR Image Matching[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(11): 3493-3500. |
[14] |
YANG Lei1, 2, LI Ang1*, XIE Pin-hua1, 2, HU Zhao-kun1, 2, LIANG Shuai-xi1, 2, ZHANG Ying-hua1, 2, HUANG Ye-yuan1, 2. Telemetry Research of NO2 Concentration in the Night Based on LED and DOAS Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(05): 1398-1405. |
[15] |
WANG Jing-ge, LI He-he, LI Xin-zhong, ZHANG Li-ping, LI Xiao-long. Investigation on the Characteristic of Laser Induced Plasma by Abel Inversion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(01): 250-256. |
|
|
|
|