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. 2022 May 29;39(10):1709–1720. doi: 10.1007/s00376-022-1346-5

The Impact of the Numbers of Monitoring Stations on the National and Regional Air Quality Assessment in China During 2013–18

Hongyan Luo 1,2, Xiao Tang 1,3,✉, Huangjian Wu 1, Lei Kong 1, Qian Wu 1, Kai Cao 1, Yating Song 1,2, Xuechun Luo 1, Yao Wang 1, Jiang Zhu 1,2, Zifa Wang 1,2,3
PMCID: PMC9148413  PMID: 35669259

Abstract

China national air quality monitoring network has become the core data source for air quality assessment and management in China. However, during network construction, the significant change in numbers of monitoring sites with time is easily ignored, which brings uncertainty to air quality assessments. This study aims to analyze the impact of change in numbers of stations on national and regional air quality assessments in China during 2013–18. The results indicate that the change in numbers of stations has different impacts on fine particulate matter (PM2.5) and ozone concentration assessments. The increasing number of sites makes the estimated national and regional PM2.5 concentration slightly lower by 0.6–2.2 µg m−3 and 1.4–6.0 µg m−3 respectively from 2013 to 2018. The main reason is that over time, the monitoring network expands from the urban centers to the suburban areas with low population densities and pollutant emissions. For ozone, the increasing number of stations affects the long-term trends of the estimated concentration, especially the national trends, which changed from a slight upward trend to a downward trend in 2014–15. Besides, the impact of the increasing number of sites on ozone assessment exhibits a seasonal difference at the 0.05 significance level in that the added sites make the estimated concentration higher in winter and lower in summer. These results suggest that the change in numbers of monitoring sites is an important uncertainty factor in national and regional air quality assessments, that needs to be considered in long-term concentration assessment, trend analysis, and trend driving force analysis.

Key words: monitoring network, newly added sites, PM2.5, ozone

Acknowledgements

We acknowledge the use of surface air quality observation data from CNEMC. This research was supported by the National Natural Science Foundation (Grant Nos. 41875164 & 92044303) and the National Key Research and Development Plan (Grant No. YS2020YFA060022).

Footnotes

Article Highlights

• The impact of the numbers of monitoring stations on air quality assessment in China during 2013–18 is investigated.

• The newly added sites make the estimated national and most regional PM2.5 concentrations slightly lower.

• The newly added sites affect the estimated long-term trends of ozone concentrations.

• The impact of the increasing number of sites on ozone assessment exhibits a seasonal difference.

References

  1. Adams M D, Kanaroglou P S. A criticality index for air pollution monitors. Atmospheric Pollution Research. 2016;7:482–487. doi: 10.1016/j.apr.2015.11.004. [DOI] [Google Scholar]
  2. Ariya P A, Dastoor A, Nazarenko Y, Amyot M. Do snow and ice alter urban air quality? Atmos. Environ. 2018;186:266–268. doi: 10.1016/j.atmosenv.2018.05.028. [DOI] [Google Scholar]
  3. Bilal M. Characteristics of fine particulate matter (PM2.5) over urban, suburban, and rural areas of Hong Kong. Atmosphere. 2019;10:496. doi: 10.3390/atmos10090496. [DOI] [Google Scholar]
  4. Chan C K, Yao X H. Air pollution in mega cities in China. Atmos. Environ. 2008;42:1–42. doi: 10.1016/j.atmosenv.2007.09.003. [DOI] [Google Scholar]
  5. Degraeuwe B, Thunis P, Clappier A, Weiss M, Lefebvre W, Janssen S, Vranckx S. Impact of passenger car NOx emissions on urban NO2 pollution - Scenario analysis for 8 European cities. Atmos. Environ. 2017;171:330–337. doi: 10.1016/j.atmosenv.2017.10.040. [DOI] [Google Scholar]
  6. Dong J D, Chen X L, Cai X B, Xu Q Q, Guan Y T, Li T H, Liu S Y, Chen F. Analysis of the temporal and spatial variation of atmospheric quality from 2015 to 2019 based on China atmospheric environment monitoring station. Journal of Geo-Information Science. 2020;22:1983–1995. [Google Scholar]
  7. Fan H, Zhao C F, Yang Y K. A comprehensive analysis of the spatio-temporal variation of urban air pollution in China during 2014–2018. Atmos. Environ. 2020;220:117066. doi: 10.1016/j.atmosenv.2019.117066. [DOI] [Google Scholar]
  8. Finlayson-Pitts B J, Pitts J N., Jr. Tropospheric air pollution: Ozone, airborne toxics, polycyclic aromatic hydrocarbons, and particles. Science. 1997;276:1045–1051. doi: 10.1126/science.276.5315.1045. [DOI] [PubMed] [Google Scholar]
  9. Gao L, Yue X, Meng X Y, Du L, Lei Y D, Tian C G, Qiu L. Comparison of ozone and PM2.5 concentrations over urban, suburban, and background sites in China. Adv. Atmos. Sci. 2020;37:1297–1309. doi: 10.1007/s00376-020-0054-2. [DOI] [Google Scholar]
  10. Gego E L, Porter P S, Irwin J S, Hogrefe C, Rao S T. Assessing the comparability of ammonium, nitrate and sulfate concentrations measured by three air quality monitoring networks. Pure Appl. Geophys. 2005;162:1919–1939. doi: 10.1007/s00024-005-2698-3. [DOI] [Google Scholar]
  11. Geng F H, Tie X X, Xu J M, Zhou G Q, Peng L, Gao W, Tang X, Zhao C S. Characterizations of ozone, NOx, and VOCs measured in Shanghai, China. Atmos. Environ. 2008;42:6873–6883. doi: 10.1016/j.atmosenv.2008.05.045. [DOI] [Google Scholar]
  12. Guo H, Gu X F, Ma G X, Shi S Y, Wang W N, Zuo X, Zhang X C. Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017. Scientific Reports. 2019;9:15201. doi: 10.1038/s41598-019-50655-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Huang D, Li Q L, Wang X X, Li G X, Sun L Q, He B, Zhang L, Zhang C S. Characteristics and trends of ambient ozone and nitrogen oxides at urban, suburban, and rural sites from 2011 to 2017 in Shenzhen, China. Sustainability. 2018;10:4530. doi: 10.3390/su10124530. [DOI] [Google Scholar]
  14. Jiang B W, Li Y G, Yang W X. Evaluation and treatment analysis of air quality including particulate pollutants: A case study of Shandong province, China. International Journal of Environmental Research and Public Health. 2020;17:9476. doi: 10.3390/ijerph17249476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Kang M J, Zhang J, Zhang H L, Ying Q. On the relevancy of observed ozone increase during COVID-19 lock-down to summertime ozone and PM2.5 control policies in China. Environmental Science & Technology Letters. 2021;8:289–294. doi: 10.1021/acs.estlett.1c00036. [DOI] [PubMed] [Google Scholar]
  16. Lei K. Improved inversion of monthly ammonia emissions in China based on the Chinese Ammonia Monitoring Network and ensemble Kalman filter. Environmental Science & Technology. 2019;53:12529–12538. doi: 10.1021/acs.est.9b02701. [DOI] [PubMed] [Google Scholar]
  17. Li F. Estimation of representative errors of surface observations of air pollutant concentrations based on high-density observation network over Beijing-Tianjin-Hebei region. Chinese Journal of Atmospheric Sciences. 2019;43:277–284. [Google Scholar]
  18. Li G H. Widespread and persistent ozone pollution in eastern China during the non-winter season of 2015: Observations and source attributions. Atmospheric Chemistry and Physics. 2017;17:2759–2774. doi: 10.5194/acp-17-2759-2017. [DOI] [Google Scholar]
  19. Li K, Jacob D J, Liao H, Shen L, Zhang Q, Bates K H. Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China. Proceedings of the National Academy of Sciences of the United States of America. 2019;116:422–427. doi: 10.1073/pnas.1812168116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Li L Y, Yang W Z, Xie S D, Wu Y. Estimations and uncertainty of biogenic volatile organic compound emission inventory in China for 2008–2018. Science of the Total Environment. 2020;733:139301. doi: 10.1016/j.scitotenv.2020.139301. [DOI] [PubMed] [Google Scholar]
  21. Li M. Anthropogenic emission inventories in China: A review. National Science Review. 2017;4:834–866. doi: 10.1093/nsr/nwx150. [DOI] [Google Scholar]
  22. Li M. Persistent growth of anthropogenic non-methane volatile organic compound (NMVOC) emissions in China during 1990–2017: Drivers, speciation and ozone formation potential. Atmospheric Chemistry and Physics. 2019;19:8897–8913. doi: 10.5194/acp-19-8897-2019. [DOI] [Google Scholar]
  23. Liang G L. Talking about the site selection of environmental air quality monitoring sites in the new era. Guangdong Chemical Industry. 2018;45:160. [Google Scholar]
  24. Liu C. Ambient particulate air pollution and daily mortality in 652 cities. The New England Journal of Medicine. 2019;381:705–715. doi: 10.1056/NEJMoa1817364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Liu Q C, Li X Y, Liu T, Zhao X J. Spatio-temporal correlation analysis of air quality in China: Evidence from provincial capitals data. Sustainability. 2020;12:2486. doi: 10.3390/su12062486. [DOI] [Google Scholar]
  26. Lu K D. Fast photochemistry in wintertime haze: Consequences for pollution mitigation strategies. Environmental Science & Technology. 2019;53:10676–10684. doi: 10.1021/acs.est.9b02422. [DOI] [PubMed] [Google Scholar]
  27. Lu M M. Investigating the transport mechanism of PM2.5 pollution during January 2014 in Wuhan, central China. Adv. Atmos. Sci. 2019;36:1217–1234. doi: 10.1007/s00376-019-8260-5. [DOI] [Google Scholar]
  28. Lu X. Progress of air pollution control in China and its challenges and opportunities in the Ecological Civilization Era. Engineering. 2020;6:1423–1431. doi: 10.1016/j.eng.2020.03.014. [DOI] [Google Scholar]
  29. Lu X, Zhang L, Wang X L, Gao M, Li K, Zhang Y Z, Yue X, Zhang Y H. Rapid increases in warm-season surface ozone and resulting health impact in China since 2013. Environmental Science & Technology Letters. 2020;7:240–247. doi: 10.1021/acs.estlett.0c00171. [DOI] [Google Scholar]
  30. Luo X-S, Zhao Z, Chen Y, Ge X L, Huang Y, Suo C, Sun X, Zhang D. Effects of emission control and meteorological parameters on urban air quality showed by the 2014 Youth Olympic Games in China. Fresenius Environmental Bulletin. 2017;26:4798–4807. [Google Scholar]
  31. Ma T. Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014–2016. Journal of Environmental Sciences. 2019;83:8–20. doi: 10.1016/j.jes.2019.02.031. [DOI] [PubMed] [Google Scholar]
  32. Meng X Y, Gong Z Y, Ye C X, Wang S, Sun H, Zhang X. Characteristics of ozone concentration variation in 74 Cities from 2013 to 2016. Environmental Monitoring in China. 2017;33:101–108. [Google Scholar]
  33. Ning G C, Wang S G, Ma M J, Ni C J, Shang Z W, Wang J X, Li J X. Characteristics of air pollution in different zones of Sichuan Basin, China. Science of the Total Environment. 2018;612:975–984. doi: 10.1016/j.scitotenv.2017.08.205. [DOI] [PubMed] [Google Scholar]
  34. Piersanti A, Vitali L, Righini G, Cremona G, Ciancarella L. Spatial representativeness of air quality monitoring stations: A grid model based approach. Atmospheric Pollution Research. 2015;6:953–960. doi: 10.1016/j.apr.2015.04.005. [DOI] [Google Scholar]
  35. Ravishankara A R. Heterogeneous and multiphase chemistry in the troposphere. Science. 1997;276:1058–1065. doi: 10.1126/science.276.5315.1058. [DOI] [Google Scholar]
  36. Rohde R A, Muller R A. Air pollution in China: Mapping of concentrations and sources. PLoS One. 2015;20:e0135749. doi: 10.1371/journal.pone.0135749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Shao M, Tang X Y, Zhang Y H, Li W J. City clusters in China: Air and surface water pollution. Frontiers in Ecology and the Environment. 2006;4:353–361. doi: 10.1890/1540-9295(2006)004[0353:CCICAA]2.0.CO;2. [DOI] [Google Scholar]
  38. Shao M. Quantifying the role of PM2.5 dropping in variations of ground-level ozone: Inter-comparison between Beijing and Los Angeles. Science of the Total Environment. 2021;788:147712. doi: 10.1016/j.scitotenv.2021.147712. [DOI] [PubMed] [Google Scholar]
  39. Song C B. Air pollution in China: Status and spatiotemporal variations. Environmental Pollution. 2017;227:334–347. doi: 10.1016/j.envpol.2017.04.075. [DOI] [PubMed] [Google Scholar]
  40. Tang X, Zhu J, Wang Z F, Gbaguidi A. Improvement of ozone forecast over Beijing based on ensemble Kalman filter with simultaneous adjustment of initial conditions and emissions. Atmospheric Chemistry and Physics. 2011;11:12901–12916. doi: 10.5194/acp-11-12901-2011. [DOI] [Google Scholar]
  41. Tao J. PM2.5 pollution in a megacity of southwest China: Source apportionment and implication. Atmospheric Chemistry and Physics. 2014;4:8679–8699. doi: 10.5194/acp-14-8679-2014. [DOI] [Google Scholar]
  42. Tong L. Characteristics of surface ozone and nitrogen oxides at urban, suburban and rural sites in Ningbo, China. Atmospheric Research. 2017;187:57–68. doi: 10.1016/j.atmosres.2016.12.006. [DOI] [Google Scholar]
  43. Wang H. A long-term estimation of biogenic volatile organic compound (BVOC) emission in China from 2001–2016: The roles of land cover change and climate variability. Atmospheric Chemistry and Physics. 2021;2:4825–4848. doi: 10.5194/acp-21-4825-2021. [DOI] [Google Scholar]
  44. Wang N, Lyu X P, Deng X J, Huang X, Jiang F, Ding A J. Aggravating O3 pollution due to NOx emission control in eastern China. Science of the Total Environment. 2019;677:732–744. doi: 10.1016/j.scitotenv.2019.04.388. [DOI] [PubMed] [Google Scholar]
  45. Wang S, Ding J N, Wang R B, Xie S Y, Zhang X. Study on the settings of ambient air quality monitoring sites in China. Environment and Sustainable Development. 2012;37:21–25. [Google Scholar]
  46. Wang S J, Zhou C S, Wang Z B, Feng K S, Hubacek K. The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. Journal of Cleaner Production. 2017;142:1800–1809. doi: 10.1016/j.jclepro.2016.11.104. [DOI] [Google Scholar]
  47. Wang T, Xue L K, Brimblecombe P, Lam Y F, Li L, Zhang L. Ozone pollution in China: A review of concentrations, meteorological influences, chemical precursors, and effects. Science of the Total Environment. 2017;575:1582–1596. doi: 10.1016/j.scitotenv.2016.10.081. [DOI] [PubMed] [Google Scholar]
  48. Wang W J, Li X, Shao M, Hu M, Zeng L M, Wu Y S, Tan T Y. The impact of aerosols on photolysis frequencies and ozone production in Beijing during the 4-year period 2012–2015. Atmospheric Chemistry and Physics. 2019;19:9413–9429. doi: 10.5194/acp-19-9413-2019. [DOI] [Google Scholar]
  49. Wang W J. Exploring the drivers of the increased ozone production in Beijing in summertime during 2005–2016. Atmospheric Chemistry and Physics. 2020;20:15617–15633. doi: 10.5194/acp-20-15617-2020. [DOI] [Google Scholar]
  50. Wang W N, van der A R, Ding J Y, van Weele M, Cheng T H. Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations. Atmospheric Chemistry and Physics. 2021;21:7253–7269. doi: 10.5194/acp-21-7253-2021. [DOI] [Google Scholar]
  51. Wang Y Z, Duan X J, Wang L. Spatial-temporal evolution of PM2.5 concentration and its socioeconomic influence factors in Chinese cities in 2014–2017. International Journal of Environmental Research and Public Health. 2019;16:985. doi: 10.3390/ijerph16060985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Wu H J, Tang X, Wang Z F, Wu L, Lu M M, Wei L F, Zhu J. Probabilistic automatic outlier detection for surface air quality measurements from the China National Environmental Monitoring Network. Adv. Atmos. Sci. 2018;35:1522–1532. doi: 10.1007/s00376-018-8067-9. [DOI] [Google Scholar]
  53. Xie M, Wang T J, Jiang F, Yang X Q. Modeling of natural NOx and VOC emissions and their effects on tropospheric photochemistry in China. Environmental Science. 2007;28:32–40. [Google Scholar]
  54. Yang W X, Yuan G H, Han J T. Is China’s air pollution control policy effective? Evidence from Yangtze River Delta cities. Journal of Cleaner Production. 2019;220:110–133. doi: 10.1016/j.jclepro.2019.01.287. [DOI] [Google Scholar]
  55. Yuan G H, Yang W X. Evaluating China’s air pollution control policy with extended AQI indicator system: Example of the Beijing-Tianjin-Hebei Region. Sustainability. 2019;11:939. doi: 10.3390/su11030939. [DOI] [Google Scholar]
  56. Zeng P. Causes of ozone pollution in summer in Wuhan, Central China. Environmental Pollution. 2018;241:852–861. doi: 10.1016/j.envpol.2018.05.042. [DOI] [PubMed] [Google Scholar]
  57. Zhai S X. Fine particulate matter (PM2.5) trends in China, 2013–2018: Separating contributions from anthropogenic emissions and meteorology. Atmospheric Chemistry and Physics. 2019;19:11031–11041. doi: 10.5194/acp-19-11031-2019. [DOI] [Google Scholar]
  58. Zhang G, Mu Y J, Liu J F, Zhang C L, Zhang Y Y, Zhang Y J, Zhang H X. Seasonal and diurnal variations of atmospheric peroxyacetyl nitrate, peroxypropionyl nitrate, and carbon tetrachloride in Beijing. Journal of Environmental Sciences. 2014;26:65–74. doi: 10.1016/S1001-0742(13)60382-4. [DOI] [PubMed] [Google Scholar]
  59. Zhang Q. Drivers of improved PM2.5 air quality in China from 2013 to 2017. Proceedings of the National Academy of Sciences of the United States of America. 2019;116:24463–24469. doi: 10.1073/pnas.1907956116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Zhang Z H, Zhang G X, Song S F, Su B. Spatial heterogeneity influences of environmental control and informal regulation on air pollutant emissions in China. International Journal of Environmental Research and Public Health. 2020;17:4857. doi: 10.3390/ijerph17134857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Zhao S P, Yu Y, Yin D Y, Qin D H, He J J, Dong L X. Spatial patterns and temporal variations of six criteria air pollutants during 2015 to 2017 in the city clusters of Sichuan Basin, China. Science of the Total Environment. 2018;624:540–557. doi: 10.1016/j.scitotenv.2017.12.172. [DOI] [PubMed] [Google Scholar]
  62. Zheng B. Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions. Atmospheric Chemistry and Physics. 2018;18:14095–14111. doi: 10.5194/acp-18-14095-2018. [DOI] [Google Scholar]
  63. Zhong L-J, Zheng J Y, Lei G Q, Chen J, Che W W. Analysis of current status and trends of air quality monitoring networks. Environmental Monitoring in China. 2007;23:113–118. [Google Scholar]

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