Articles | Volume 22, issue 1
https://doi.org/10.5194/acp-22-139-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-139-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report: Vehicle-based multi-lidar observational study of the effect of meteorological elements on the three-dimensional distribution of particles in the western Guangdong–Hong Kong–Macao Greater Bay Area
Xinqi Xu
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China
Guangdong Provincial Observation and Research Station for Climate
Environment and Air Quality Change in the Pearl River Estuary, Key
Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education,
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, Guangdong, China
Jielan Xie
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China
Guangdong Provincial Observation and Research Station for Climate
Environment and Air Quality Change in the Pearl River Estuary, Key
Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education,
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, Guangdong, China
Yuman Li
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China
Guangdong Provincial Observation and Research Station for Climate
Environment and Air Quality Change in the Pearl River Estuary, Key
Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education,
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, Guangdong, China
Shengjie Miao
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China
Guangdong Provincial Observation and Research Station for Climate
Environment and Air Quality Change in the Pearl River Estuary, Key
Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education,
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, Guangdong, China
Shaojia Fan
CORRESPONDING AUTHOR
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China
Guangdong Provincial Observation and Research Station for Climate
Environment and Air Quality Change in the Pearl River Estuary, Key
Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education,
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai, Guangdong, China
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Cited articles
Copernicus Climate Change Service (C3S): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate, [data set], available at: https://cds.climate.copernicus.eu/cdsapp#/dataset/reanalysis-era5-pressure-levels?tab=overview (last access: 1 November 2020), 2017.
Dai, G., Wu, S., and Song, X.: Depolarization ratio profiles calibration and
observations of aerosol and cloud in the Tibetan Plateau based on
polarization Raman lidar, Remote Sens., 10, 378,
https://doi.org/10.3390/rs10030378, 2018.
Deng, T., Deng, X., Li, F., Wang, S., and Wang, G.: Study on aerosol optical
properties and radiative effect in cloudy weather in the Guangzhou region,
Sci. Total Environ., 568, 147–154,
https://doi.org/10.1016/j.scitotenv.2016.05.156, 2016.
Du, W., Zhang, Y., Chen, Y., Xu, L., Chen, J., Deng, J., Hong, Y., and Xiao,
H.: Chemical characterization and source apportionment of PM2.5 during
spring and winter in the Yangtze River Delta, China, Aerosol Air Qual. Res.,, 17, 2165–2180, https://doi.org/10.4209/aaqr.2017.03.0108, 2017.
Fan, S., Liu, C., Xie, Z., Dong, Y., Hu, Q., Fan, G., Chen, Z., Zhang, T.,
Duan, J., Zhang, P., and Liu, J.: Scanning vertical distributions of typical
aerosols along the Yangtze River using elastic lidar, Sci. Total Environ., 628, 631–641, https://doi.org/10.1016/j.scitotenv.2018.02.099,
2018.
Fang, X., Fan, Q., Li, H., Liao, Z., Xie, J., and Fan, S.: Multi-scale
correlations between air quality and meteorology in the Guangdong-Hong
Kong-Macau Greater Bay Area of China during 2015–2017, Atmos. Environ., 191, 463–477, https://doi.org/10.1016/j.atmosenv.2018.08.018,
2018.
Fang, X., Fan, Q., Liao, Z., Xie, J., Xu, X., and Fan, S.: Spatial-temporal
characteristics of the air quality in the Guangdong-Hong Kong-Macau
Greater Bay Area of China during 2015–2017, Atmos. Environ., 210,
14–34, https://doi.org/10.1016/j.atmosenv.2019.04.037, 2019.
Fernald, F. G.: Analysis of atmospheric lidar observations: some
comments, Appl. Opt., 23, 652–653, 1984.
He, Y., Wang, H., Wang, H., Xu, X., Li, Y., and Fan, S.: Meteorology and
topographic influences on nocturnal ozone increase during the summertime
over Shaoguan, China, Atmos. Environ., 256, 118459,
https://doi.org/10.1016/j.atmosenv.2021.118459, 2021b.
He, Y., Xu, X., Gu, Z., Chen, X., Li, Y., and Fan, S.: Vertical distribution
characteristics of aerosol particles over the Guanzhong Plain, Atmos. Environ., 255, 118444, https://doi.org/10.1016/j.atmosenv.2021.118444,
2021a.
Heese, B., Baars, H., Bohlmann, S., Althausen, D., and Deng, R.: Continuous vertical aerosol profiling with a multi-wavelength Raman polarization lidar over the Pearl River Delta, China, Atmos. Chem. Phys., 17, 6679–6691, https://doi.org/10.5194/acp-17-6679-2017, 2017.
Huang, T., Li Y., Cheng, J. C. H., Haywood, J., Hon, K. K., Lam, D. H. Y., Lee, O. S. M.,
Lolli, S., O'Connor, E. J., Lee, H. F., Wang, M., and Yim, S. H. L.: Assessing
Transboundary-local Aerosols Interaction over Complex Terrain Using a
Doppler LiDAR Network, Geophys. Res. Lett., 48, e2021GL093238,
https://doi.org/10.1029/2021GL093238, 2021a.
Huang, T., Yang, Y., O'Connor, E. J., Lolli, S., Haywood, J., Osborne, M.,
Cheng. J. C. H. C., Guo, J., and Yim, S. H. L.: Influence of a weak typhoon
on the vertical distribution of air pollution in Hong Kong: A perspective
from a Doppler LiDAR network, Environ. Pollut., 276, 116534,
https://doi.org/10.1016/j.envpol.2021.116534, 2021b.
Huige, D., Siwen, L., Yun, Y., and Dengxin, H.: Observational study of the
vertical aerosol and meteorological factor distributions with respect to
particulate pollution in Xi'an, Atmos. Environ., 247, 118215,
https://doi.org/10.1016/j.atmosenv.2021.118215, 2021.
Kim, H. C., Chai, T., Stein, A., and Kondragunta, S.: Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations, Atmos. Chem. Phys., 20, 10259–10277, https://doi.org/10.5194/acp-20-10259-2020, 2020.
Leikauf, G. D., Kim, S. H., and Jang, A. S.: Mechanisms of ultrafine
particle-induced respiratory health effects, Experiment. Molec.
Med., 52, 329–337, https://doi.org/10.1038/s12276-020-0394-0, 2020.
Li, Y., Wang, B., Lee, S. Y., Zhang, Z., Wang, Y., and Dong, W.: Micro-Pulse
Lidar Cruising Measurements in Northern South China Sea, Remote Sens., 12,
1695, https://doi.org/10.3390/rs12101695, 2020.
Liao, Z., Gao, M., Sun, J., and Fan, S.: The impact of synoptic circulation
on air quality and pollution-related human health in the Yangtze River Delta
region, Sci. Total Environ., 607, 838–846,
https://doi.org/10.1016/j.scitotenv.2017.07.031, 2017.
Liu, J., Wu, D., Fan, S., Mao, X., and Chen, H.: A one-year, on-line,
multi-site observational study on water-soluble inorganic ions in PM2.5
over the Pearl River Delta region, China, Sci. Total Environ.,
601, 1720–1732, https://doi.org/10.1016/j.scitotenv.2017.06.039, 2017.
Liu, Q., He, Q., Fang, S., Guang, Y., Ma, C., Chen, Y., Kang, Y., Pan, H.,
Zhang, H., and Yao, Y.: Vertical distribution of ambient aerosol extinctive
properties during haze and haze-free periods based on the Micro-Pulse Lidar
observation in Shanghai, Sci. Total Environ., 574, 1502–1511,
https://doi.org/10.1016/j.scitotenv.2016.08.152, 2017.
Lu, X., Mao, F., Pan, Z., Gong, W., Wang, W., Tian, L., and Fang, S.:
Three-dimensional physical and optical characteristics of aerosols over
central china from long-term CALIPSO and HYSPLIT data, Remote Sens., 10,
314, https://doi.org/10.3390/rs10020314, 2018.
Lv, L., Liu, W., Zhang, T., Chen, Z., Dong, Y., Fan, G., Xiang, Y., Yao, Y.,
Yang, N., Chu, B., Teng, M., and Shu, X.: Observations of particle
extinction, PM2.5 mass concentration profile and flux in north China
based on mobile lidar technique. Atmos. Environ., 164, 360–369,
https://doi.org/10.1016/j.atmosenv.2017.06.022, 2017.
Lv, L., Xiang, Y., Zhang, T., Chai, W., and Liu, W.: Comprehensive study of
regional haze in the North China Plain with synergistic measurement from
multiple mobile vehicle-based lidars and a lidar network, Sci. Total Environ., 721, 137773,
https://doi.org/10.1016/j.scitotenv.2020.137773, 2020.
Lyu, L., Dong, Y., Zhang, T., Liu, C., Liu, W., Xie, Z., Xiang, Y., Zhang,
Y., Chen, Z., Fan, G., Zhang, L., Liu, Y., Shi, Y., and Shu, X.: Vertical
Distribution Characteristics of PM2.5 Observed by a Mobile Vehicle
Lidar in Tianjin, China in 2016, J. Meteorol. Res., 32,
60–68, https://doi.org/10.1007/s13351-018-7068-z, 2018.
National Centers for Environmental Prediction/National Weather Service/NOAA/U.S.: Department of Commerce, updated daily: NCEP GDAS/FNL 0.25 Degree Global Tropospheric Analyses and Forecast Grids, available at: https://www.ncei.noaa.gov/products/weather-climate-models/global-data-assimilation, (last access: 1 November 2020), 2015.
Orru, H., Ebi, K. L., and Forsberg, B.: The interplay of climate change and
air pollution on health, Current Environmental Health Reports, 4, 504–513,
https://doi.org/10.1007/s40572-017-0168-6, 2017.
Seibert, P., Beyrich, F., Gryning, S. E., Joffre, S., Rasmussen, A., and
Tercier, P.: Review and intercomparison of operational methods for the
determination of the mixing height, Atmos. Environ., 34,
1001–1027, https://doi.org/10.1016/S1352-2310(99)00349-0, 2000.
Sekuła, P., Bokwa, A., Bartyzel, J., Bochenek, B., Chmura, Ł., Gałkowski, M., and Zimnoch, M.: Measurement report: Effect of wind shear on PM10 concentration vertical structure in the urban boundary layer in a complex terrain, Atmos. Chem. Phys., 21, 12113–12139, https://doi.org/10.5194/acp-21-12113-2021, 2021.
Shao, Q., Liu, X., and Zhao, W.: An alternative method for analyzing
dimensional interactions of urban carrying capacity: case study of
Guangdong-Hong Kong-Macao Greater Bay Area, J. Environ. Manage., 273, 111064, https://doi.org/10.1016/j.jenvman.2020.111064,
2020.
Stocker, T. (Ed.): Climate change 2013: the physical science basis: Working
Group I contribution to the Fifth assessment report of the Intergovernmental
Panel on Climate Change, Cambridge university press, 571–658, 2014.
Strawa, A. W., Kirchstetter, T. W., Hallar, A. G., Ban-Weiss, G. A.,
McLaughlin, J. P., Harley, R. A., and Lunden, M. M.: Optical and physical
properties of primary on-road vehicle particle emissions and their
implications for climate change, J. Aerosol Sci., 41, 36–50,
https://doi.org/10.1016/j.jaerosci.2009.08.010, 2010.
Tian, P., Cao, X., Zhang, L., Sun, N., Sun, L., Logan, T., Shi, J., Wang, Y., Ji, Y., Lin, Y., Huang, Z., Zhou, T., Shi, Y., and Zhang, R.: Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing, Atmos. Chem. Phys., 17, 2509–2523, https://doi.org/10.5194/acp-17-2509-2017, 2017.
Wallace, J. and Kanaroglou, P.: The effect of temperature inversions on
ground-level nitrogen dioxide (NO2) and fine particulate matter
(PM2.5) using temperature profiles from the Atmospheric Infrared
Sounder (AIRS), Sci. Total Environ., 407, 5085–5095,
https://doi.org/10.1016/j.scitotenv.2009.05.050, 2009.
Wang, H., Sun, Z., Li, H., Gao, Y., Wu, J., and Cheng, T.:
Vertical-distribution characteristics of atmospheric aerosols under
different thermodynamic conditions in Beijing, Aerosol Air Qual. Res., 18, 2775–2787, https://doi.org/10.4209/aaqr.2018.03.0078,
2018.
Xie, J., Liao, Z., Fang, X., Xu, X., Wang, Y., Zhang, Y., Liu, J., Fan, S.,
and Wang, B.: The characteristics of hourly wind field and its impacts on
air quality in the Pearl River Delta region during 2013–2017, Atmos. Res., 227, 112–124, https://doi.org/10.1016/j.atmosres.2019.04.023,
2019.
Xu, Y., Xue, W., Lei, Y., Zhao, Y., Cheng, S., Ren, Z., and Huang, Q.:
Impact of meteorological conditions on PM2.5 Pollution in China
during winter, Atmosphere, 9, 429, https://doi.org/10.3390/atmos9110429,
2018.
Xu, X., Xie, J., Li, Y., Miao, S., Fan, S.: Data for “Measurement report Vehicle-based multi-lidar observational study on the effect of meteorological elements on the three-dimensional distribution of particles in the western Guangdong–Hong Kong–Macao Greater Bay Area”, Zenodo [data set], https://doi.org/10.5281/zenodo.5726855, 2021.
Yao, L., Zhan, B., Xian, A., Sun, W., Li, Q., and Chen, J.: Contribution of
transregional transport to particle pollution and health effects in Shanghai
during 2013–2017, Sci. Total Environ., 677, 564–570,
https://doi.org/10.1016/j.scitotenv.2019.03.488, 2019.s
Zang, Z., Wang, W., You, W., Li, Y., Ye, F., and Wang, C.: Estimating
ground-level PM2.5 concentrations in Beijing, China using aerosol
optical depth and parameters of the temperature inversion layer, Sci. Total Environ., 575, 1219–1227,
https://doi.org/10.1016/j.scitotenv.2016.09.186, 2017.
Zhao, Y. F., Gao, J., Cai, Y. J., Wang, J. J., and Pan, J.: Real-time
tracing VOCs, O3 and PM2.5 emission sources with vehicle-mounted proton
transfer reaction mass spectrometry combined differential absorption lidar,
Atmos. Pollut. Res., 12, 146–153,
https://doi.org/10.1016/j.apr.2021.01.008, 2021.
Zhou, Y., Shan, Y., Liu, G., and Guan, D.: Emissions and low-carbon
development in Guangdong-Hong Kong-Macao Greater Bay Area cities and their
surroundings, Appl. Energ., 228, 1683–1692,
https://doi.org/10.1016/j.apenergy.2018.07.038, 2018.
Short summary
The effect of meteorological elements on the three-dimensional distribution structure of particles was studied by making vehicle-based multi-lidar observations in the western Guangdong–Hong Kong–Macao Greater Bay Area of China. Results showed that distribution of particles was closely related to horizontal wind speed and direction, vertical wind speed, and temperature. A model for meteorological elements affecting the vertical distribution of urban particles was offered in this study.
The effect of meteorological elements on the three-dimensional distribution structure of...
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