Academic Journal of Environment & Earth Science, 2023, 5(9); doi: 10.25236/AJEE.2023.050907.
Hu Chen, Xiaoping Zhang, Wenqiang Yang, Tingting Zhao, Jiayao Li
College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
This study analyzed the changes and correlations of AQI and six basic pollutants (PM2.5, PM10, SO2, N2, CO, O3) in the Yangtze River Delta city cluster from 2016 to 2019 based on air pollutant concentration monitoring data and meteorological factors. The analysis used Kriging interpolation and Pearson correlation methods. The main findings were: (1) The air quality of the study area improved over time; PM2.5, PM10, N2 and CO concentrations were higher in winter; O3 concentration was higher in summer; SO2 concentration was relatively stable across seasons; O3 concentration showed an inverted “U” pattern over time, while the other pollutants showed a “U” pattern. (2) Spatially, AQI was higher in the northwest and lower in the southeast of the study area; PM2.5 and PM10 concentrations had high spatial similarity with AQI. (3) The correlations between each pollutant concentration and meteorological factors varied; precipitation and air temperature had significant correlations with all six pollutants; relative humidity had a more significant correlation with PM10; the other factors had no significant correlations with the pollutants.
AQI; air quality; spatial and temporal distribution; meteorological factors; Yangtze River Delta city cluster
Hu Chen, Xiaoping Zhang, Wenqiang Yang, Tingting Zhao, Jiayao Li. Analysis of Air Quality Change Characteristics and Correlation with Meteorological Factors in Yangtze River Delta City Cluster. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 9: 51-61. https://doi.org/10.25236/AJEE.2023.050907.
[1] Cheng, W. L., Chen, Y. S., Zhang, J., Lyons, T. J., Pai, J. L., & Chang, S. H. (2007). Comparison of the revised air quality index with the PSI and AQI indices. Science of the Total Environment, 382(2-3), 191-198.
[2] Hassanzadeh, S., Hosseinibalam, F., & Alizadeh, R. (2012). Temporal variations of major air pollutants and pollution standard index in the great Tehran area. Environmental Forensics, 13(1), 55-67.
[3] Liu, H., & Fu, Z. (2018, July). The Evaluation of Innovative Ability of Capital Cities in China Introducing Air Pollution Indexes. In IOP Conference Series: Earth and Environmental Science (Vol. 170, No. 3, p. 032088). IOP Publishing.
[4] Liu, Y., Wu, J., Yu, D., & Ma, Q. (2018). The relationship between urban form and air pollution depends on seasonality and city size. Environmental Science and Pollution Research, 25, 15554-15567.
[5] Xiao, K., Wang, Y., Wu, G., Fu, B., & Zhu, Y. (2018). Spatiotemporal characteristics of air pollutants (PM10, PM2.5, SO2, N2, O3, and CO) in the inland basin city of Chengdu, southwest China. Atmosphere, 9(2), 74.
[6] Xie, C., Ma, M., & Yu, X. (2014). Analysis of spatiotemporal distribution characteristics of urban API and its relationship with meteorological factors in western North China. China Population, Resources and Environment, (S3), 335-338.
[7] Qi, D., Ma, M., Li, X., Wei, H., Zhang, J., Xiao, H., … & Kong, W. (2014). Comparative analysis of API change characteristics of five cities in five provinces in northwest China. Environmental Science and Technology, (S2), 183-189.
[8] Fu, H., & Li, H. (2020). Prediction model of air pollution index in Anyang City in winter based on BP neural network. World Scientific Research Journal, 6(10), 265-275.
[9] Su, Y., Sha, Y., Zhai, G., Zong, S., & Jia, J. (2019). Comparison of air pollution in Shanghai and Lanzhou based on wavelet transform. Environmental Science and Pollution Research, 26, 16825-16834.
[10] Shi, H., Critto, A., Torresan, S., & Gao, Q. (2018). The temporal and spatial distribution characteristics of air pollution index and meteorological elements in Beijing, Tianjin, and Shijiazhuang, China. Integrated environmental assessment and management, 14(6), 710-721.
[11] Zhao, X., Song, M., Liu, A., Wang, Y., Wang, T., & Cao, J. (2020). Data-driven temporal-spatial model for the prediction of AQI in Nanjing. Journal of Artificial Intelligence and Soft Computing Research, 10(4), 255-270.
[12] Lang, J., Liang, X., Li, S., Zhou, Y., Chen, D., Zhang, Y., & Xu, L. (2021). Understanding the impact of vehicular emissions on air pollution from the perspective of regional transport: A case study of the Beijing-Tianjin-Hebei region in China. Science of The Total Environment, 785, 147304.
[13] Li, Y., Tang, Y., Fan, Z., Zhou, H., & Yang, Z. (2018). Assessment and comparison of three different air quality indices in China. Environmental Engineering Research, 23(1), 21-27.
[14] Li, H., Wang, X., Wang, J., Li, M., & Yang, X. (2019). Analysis of air quality and influencing factors in Beijing-Tianjin-Hebei region from 2013 to 2017. Environmental Monitoring Management and Technology, 31(2), 21-25.
[15] Ye, J., & Jin, N. (2019).Analysis of air quality change characteristics and relationship with meteorological conditions in northern Zhejiang urban agglomeration from 2013 to 2016.Bulletin of Science and Technology, 9.
[16] Ye, T., Jiang, F., Yi, F., Li, S., & Cai Z. (2017). Ozone pollution characteristics in Yangtze River Delta region in spring and its impact on winter wheat yield. Research of Environmental Sciences, 30(7), 991-1000.
[17] Zheng, X., Li, M., Liu, H., & Lou, P. (2020). Spatiotemporal characteristics of air quality in Fenwei Plain and its relationship with meteorological factors.Acta Scientiae Circumstantiae, 40(11), 4113-4121.
[18] Ede, P. N., & Edokpa, D. O. (2015). Regional air quality of the Nigeria’s Niger Delta. Open Journal of Air Pollution, 4(01), 7.
[19] Chen, T., Li, Z., Zhou, Q., Wang, F., Zhang, X., & Wang, F. (2020). Air pollution characteristics, source analysis and cause exploration under the background of “Lanzhou blue”.Acta Scientiae Circumstantiae, 40(4), 1361-1373.
[20] Ren, P., Xie, J., Jiang, H., Wang, S., & Liu, R. (2019). Seasonal transport pathways and potential sources of PM2.5 in Taiyuan City.China Environmental Science, 39(8), 3144-3151.
[21] Bencardino, M., Andreoli, V., Castagna, J., D’Amore, F., Mannarino, V., Moretti, S., ... & Sprovieri, F. (2018). Airborne Particles during a Firework Festival in Belvedere M. mo, South-Western Italian Coas.
[22] Liu, Y., Wu, J., & Yu, D. (2018). Disentangling the complex effects of socioeconomic, climatic, and urban form factors on air pollution: A case study of China. Sustainability, 10(3), 776.
[23] Liu, L., Yang, X., Wang, M., Long, Y., Shen, H., Nie, Y., ... & Haas, C. N. (2018). Climate change, air quality and urban health: evidence from urban air quality surveillance system in 161 cities of China 2014. Journal of Geoscience and Environment Protection, 6(3), 117-130.
[24] Sahu, S. K., Mangaraj, P., Beig, G., Samal, A., Pradhan, C., Dash, S., & Tyagi, B. (2021). Quantifying the high resolution seasonal emission of air pollutants from crop residue burning in India. Environmental Pollution, 286, 117165.
[25] Ding, H., Kong, L., You, Y., Mao, J., Chen, W., Chen, D. & Wang, X. (2023). Effects of tropical cyclones with different tracks on ozone pollution over the Pearl River Delta region. Atmospheric Research, 286, 106680.
[26] Yi, H., Zhong, T., Liu, J., Yu, Q., Zhao, S., Gao, F., & Tang, X. (2021). Emissions of air pollutants from sintering flue gas in the Beijing-Tianjin-Hebei area and proposed reduction measures. Journal of Cleaner Production, 304, 126958.
[27] Wang, R., Wang, L., Xue, M., Chen, N., Zhang, L., Ling, Z.. & Wang, Y. (2023). New insight into formation mechanism, source and control strategy of severe O3 pollution: The case from photochemical simulation in the Wuhan Metropolitan Area, Central China. Atmospheric Research, 106605.
[28] Chen, Y., & Li, Y. (2021). Change characteristics of PM2.5 and O3 and their relationship with meteorological factors in Yangtze River Delta.Resources and Environment in the Yangtze Basin, 30(2), 382-396.
[29] Tan, Y., Zhao, D., Wang, H., Zhu, B., Bai, D., Liu, A., & Dai, Q. (2021). Impact of black carbon on surface ozone in the Yangtze River Delta from 2015 to 2018. Atmosphere, 12(5), 626.
[30] Gao, D., Xie, M., Liu, J., Wang, T., Ma, C., Bai, H. & Li, S. (2021). Ozone variability induced by synoptic weather patterns in warm seasons of 2014–2018 over the Yangtze River Delta region, China. Atmospheric Chemistry and Physics, 21(8), 5847-5864.
[31] Wang, Z., & Yan, X. (2020). Spatiotemporal evolution and influencing factors of PM2.5 in Yangtze River Delta urban agglomeration. Resources and Environment in the Yangtze Basin, 29(7), 1497-1506.
[32] Zhou, S. X., Wang, X., Gong, Z. Q., & Shi, C. (2017). Transport patterns of PM2.5 in the western Yangtze River Delta district, China. Acta Meteorol Sin, 75, 996-1010.
[33] Cai, B., & Wang, J. (2015). Study on urban carbon dioxide emission characteristics in Yangtze River Delta region.China Population, Resources and Environment, 25(10), 45-52.
[34] Xu, J., Jiang, H., & Xiao Z. (2016). Remote sensing estimation and spatiotemporal distribution characteristics of PM10 mass concentration in Yangtze River Delta.China Environmental Engineering Journal, 10(3), 1349-1357.
[35] Xia, C., Zheng, H., Meng, J., Li, S., Du, P., & Shan, Y. (2022). The evolution of carbon footprint in the yangtze river delta city cluster during economic transition 2012-2015. Resources, Conservation and Recycling, 181, 106266.
[36] Sun, D., Yang, S., Wang, T., Shu, L., & Qu, Y. (2019). Analysis of urban O3 and PM2.5 pollution characteristics and influencing factors in Yangtze River Delta region. Meteorological Science, 39(2), 164-177.
[37] Ran, P., Hu, S., Frazier, A. E., Qu, S., Yu, D., & Tong, L. (2022). Exploring changes in landscape ecological risk in the Yangtze River Economic Belt from a spatiotemporal perspective. Ecological Indicators, 137, 108744.
[38] Yang, M., & Wang, Y. (2017). Spatiotemporal characteristics and influencing factors of PM2.5 in Yangtze Economic Belt.China Population, Resources and Environment, 27(1), 91-100.
[39] Cressie, N. (1990). The origins of kriging. Mathematical geology, 22, 239-252.
[40] Marinoni, O. (2003). Improving geological models using a combined ordinary–indicator kriging approach. Engineering geology, 69(1-2), 37-45.
[41] Li, X., Zhang, M., Wang, S., Zhao, A., & Ma, Q. (2012). Analysis of air pollution index change characteristics and influencing factors in China. Environmental Science, 33(6), 1936-1943.
[42] Li, X., Xu, Q., Wei, H., & Hu, H. (2007). Study on the correlation between relative humidity and visibility. Proceedings of the Meteorological Comprehensive Detection Technology Branch of the 2007 Annual Meeting of the Chinese Meteorological Society.
[43] Gong, S., & Feng, J. (2012). Correlation analysis of atmospheric relative humidity and PM10 concentration and atmospheric visibility in Shanghai area. Research of Environmental Sciences, 25(6), 628-632.