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Articles

Estimating PM2.5 concentrations in a central region of China using a three-stage model

, &
Pages 578-592 | Received 29 Sep 2022, Accepted 29 Jan 2023, Published online: 01 Mar 2023

References

  • Beloconi, A., N. Chrysoulakis, A. Lyapustin, J. Utzinger, and P. Vounatsou. 2018. “Bayesian Geostatistical Modelling of PM10 and PM2.5 Surface Level Concentrations in Europe Using High-Resolution Satellite-Derived Products.” Environment International 121 (1): 57–70. doi:10.1016/j.envint.2018.08.041.
  • Bian, J. H., A. N. Li, C. Q. Huang, R. Zhang, and X. W. Zhan. 2018. “A Self-Adaptive Approach for Producing Clear-Sky Composites from VIIRS Surface Reflectance Datasets.” ISPRS Journal of Photogrammetry and Remote Sensing 144: 189–201. doi:10.1016/j.isprsjprs.2018.07.009
  • Chen, H., Q. Li, Z. T. Wang, H. Q. Mao, C. Y. Zhou, L. J. Zhang, and X. L. Chou. 2014. “Study on Monitoring Surface PM2.5 Concentration in Jing-Jin-Ji Regions Using MODIS Data.” Journal of Meteorology and Environment 30 (5): 27–37. doi:10.3969/j.issn.1673-503X.2014.05.005.
  • Chen, H., Q. Li, Y. H. Zhang, C. Y. Zhou, and Z. T. Wang. 2016. “Estimations of PM2.5 Concentrations Based on the Method of Geographically Weighted Regression.” Acta Scientiae Circumstantiae 36 (6): 2142–2151. doi:10.13671/j.hjkxxb.2015.0780.
  • Chen, W. Q., H. F. Ran, X. Y. Cao, J. Z. Wang, D. X. Teng, J. Chen, and X. Zheng. 2020. “Estimating PM2.5 with High-Resolution 1-km AOD Data and an Improved Machine Learning Model Over Shenzhen, China.” Science of the Total Environment 746: 141093. doi:10.1016/j.scitotenv.2020.141093.
  • Chen, Z. Y., T. H. Zhang, R. Zhang, Z. M. Zhu, J. Yang, P. Y. Chen, C. Q. Ou, and Y. M. Guo. 2019. “Extreme Gradient Boosting Model to Estimate PM2.5 Concentrations with Missing-Filled Satellite Data in China.” Atmospheric Environment 202: 180–189. doi:10.1016/j.atmosenv.2019.01.027.
  • Choi, M., H. Lim, J. Kim, S. Lee, T. F. Eck, B. N. Holben, M. J. Garay, E. J. Hyer, P. E. Saide, and H. Q. Liu. 2019. “Validation, Comparison, and Integration of GOCI, AHI, MODIS, MISR, and VIIRS Aerosol Optical Depth Over East Asia During the 2016 KORUS-AQ Campaign.” Atmospheric Measurement Techniques 12: 4619–4641. doi:10.5194/amt-12-4619-2019
  • Cong, N., S. L. Piao, A. P. Chen, X. H. Wang, X. Lin, S. P. Chen, S. J. Han, G. S. Zhou, and X. P. Zhang. 2012. “Spring Vegetation Green-up Date in China Inferred from SPOT NDVI Data: A Multiple Model Analysis.” Agricultural and Forest Meteorology 165: 104–113. doi:10.1016/j.agrformet.2012.06.009.
  • Donkelaar, A. V., R. V. Martin, R. J. D. Spurr, and R. T. Burnett. 2015. “High-resolution Satellite-Derived PM2.5 from Optimal Estimation and Geographically Weighted Regression Over North America.” Environmental Science & Technology 49 (17): 10482–10491. doi:10.1021/acs.est.5b02076.
  • Engel-Cox, J. A., C. H. Holloman, B. W. Coutant, and R. M. Hoff. 2004. “Qualitative and Quantitative Evaluation of MODIS Satellite Sensor Data for Regional and Urban Scale air Quality.” Atmospheric Environment 38 (16): 2495–2509. doi:10.1016/j.atmosenv.2004.01.039.
  • Fotheringham, A. S., C. F. Brunsdon, and M. E. Charlton. 2002. “Geographically Weighted Regression: The Analysis of Spatially Varying Relationships.”
  • Guo, J. P., Y. R. Wu, X. Y. Zhang, and X. W. Li. 2013. “Estimation of PM2.5 Over Eastern China from MODIS Aerosol Optical Depth Using the Back Propagation Neural Network.” Environmental Science 34 (03): 817–825. doi:CNKI:SUN:HJKZ.0.2013-03-002.
  • Gupta, P., S. A. Christopher, J. Wang, R. Gehrig, Y. Lee, and N. Kumar. 2006. “Satellite Remote Sensing of Particulate Matter and Air Quality Assessment Over Global Cities.” Atmospheric Environment 40 (30): 5880–5892. doi:10.1016/j.atmosenv.2006.03.016.
  • Handschuh, J., T. Erbertseder, M. Schaap, and F. Baier. 2022. “Estimating PM2.5 Surface Concentrations from AOD: A Combination of SLSTR and MODIS.” Remote Sensing Applications: Society and Environment 26: 100716. doi:10.1016/j.rsase.2022.100716.
  • He, Q. Q., and B. Huang. 2018a. “Satellite-based High-Resolution PM2.5 Estimation Over the Beijing-Tianjin-Hebei Region of China Using an Improved Geographically and Temporally Weighted Regression Model.” Environmental Pollution 236: 1027–1037. doi:10.1016/j.envpol.2018.01.053.
  • He, Q. Q., and B. Huang. 2018b. “Satellite-based Mapping of Daily High-Resolution Ground PM2.5 in China via Space-Time Regression Modeling.” Remote Sensing of Environment 206: 72–83. doi:10.1016/j.rse.2017.12.018.
  • Hoogh, K. D., H. Héritier, M. Stafoggia, N. Künzli, and I. Kloog. 2018. “Modelling Daily PM2.5 Concentrations at High Spatio-Temporal Resolution Across Switzerland.” Environmental Pollution 233: 1147–1154. doi:10.1016/j.envpol.2017.10.025.
  • Hu, X. F., L. A. Waller, A. Lyapustin, Y. J. Wang, M. Z. Al-Hamdan, W. L. Crosson, M. G. Estes Jr., et al. 2014. “Estimating Ground-Level PM2.5 Concentrations in the Southeastern United States Using MAIAC AOD Retrievals and a Two-Stage Mode.” Remote Sensing of Environment 140: 220–232. doi:10.1016/j.rse.2013.08.032.
  • Jackson, J. M., H. Q. Liu, L. Laszlo, S. Kondragunta, L. A. Remer, J. F. Huang, and H. C. Huang. 2013. “Suomi-NPP VIIRS Aerosol Algorithms and Data Products.” Journal of Geophysical Research: Atmospheres 118: 12,673–12,689. doi:10.1002/2013JD020449.
  • Jin, J. N., X. C. Yang, X. Yan, and W. J. Zhao. 2021. “MAIAC AOD and PM2.5 Mass Concentrations Characteristics and Correlation Analysis in Beijing-Tian-Hebei and Surrounding Areas.” Environmental Science 42 (6): 2604–2615. doi:10.13227/j.hjkx.202009200.
  • Jing, Y., Y. L. Sun, H. Xu, L. Chen, H. Zhang, S. Gao, H. C. Fu, and J. Mao. 2018. “Daily Estimation of PM2.5 Concentrations Based on Mixed Effects Model in Beijing-Tianjin-Heibei Region.” China Environmental Science 8: 2890–2897. doi:CNKI:SUN:ZGHJ.0.2018-08-013.
  • Karimian, H., Q. Li, C. C. Li, J. Fan, L. Jin, C. Gong, Y. Mo, J. Hou, and A. Ahmad. 2017. “Daily Estimation of Fine Particulate Matter Mass Concentration Through Satellite Based Aerosol Optical Depth.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W2: 175–181. doi:10.5194/isprs-annals-IV-4-W2-175-2017.
  • Lee, H. J., Y. Liu, B. A. Coull, J. Schwartz, and P. Koutrakis. 2011. “A Novel Calibration Approach of MODIS AOD Data to Predict PM2.5 Concentrations.” Atmospheric Chemistry & Physics 11: 7991–8002. doi:10.5194/acp-11-7991-2011.
  • Li, L. F., M. Franklin, M. Girguis, F. Lurmann, J. Wu, N. Pavlovic, C. Breton, F. Gilliland, and R. Habre. 2020a. “Spatiotemporal Imputation of MAIAC AOD Using Deep Learning with Downscaling.” Remote Sensing of Environment 237: 111584. doi:10.1016/j.rse.2019.111584.
  • Li, Y., G. P. Shi, and Z. A. Sun. 2020b. “Evaluation and Improvement of MODIS Aerosol Optical Depth Products Over China.” Atmospheric Environment 223: 117251. doi:10.1016/j.atmosenv.2019.117251.
  • Liu, H., X. M. Gao, Z. Y. Xie, T. T. Li, and W. J. Zhang. 2015. “Spatio-temporal Characteristics of Aerosol Optical Depth Over Beijing-Tianjin-Hebei-Shanxi-Shandong Region During 2000-2013.” Acta Scientiae Circumstantiae 35 (5): 1506–1511. doi:10.13671/j.hjkxxb.2014.0949.
  • Liu, H. Q., L. A. Remer, J. F. Huang, H. C. Huang, S. Kondragunta, I. Laszlo, M. Oo, and J. M. Jackson. 2014. “Preliminary Evaluation of S-NPP VIIRS Aerosol Optical Thickness.” Journal of Geophysical Research Atmospheres 119: 3942–3962. doi:10.1002/2013JD020360.
  • Lv, B. L., Y. T. Hu, H. H. Chang, A. G. Russell, and Y. Q. Bai. 2016. “Improving the Accuracy of Daily PM2.5 Distributions Derived from the Fusion of Ground-Level Measurements with Aerosol Optical Depth Observations, a Case Study in North China.” Environmental Science & Technology 50 (9): 4752–4759. doi:10.1021/acs.est.5b05940.
  • Lv, B. L., Y. T. Hu, H. H. Chang, A. G. Russell, J. Cai, B. Xu, and Y. Q. Bai. 2017. “Daily Estimation of Ground-Level PM2.5 Concentrations at 4 km Resolution Over Beijing-Tianjin-Hebei by Fusing MODIS AOD and Ground Observations.” Science of the Total Environment 580: 235–244. doi:10.1016/j.scitotenv.2016.12.049.
  • Ma, Z. W., X. F. Hu, L. Huang, J. Bi, and Y. Liu. 2014. “Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing.” Environmental Science & Technology 48 (13): 7436–7444. doi:10.1021/es5009399.
  • Ma, Z. W., X. F. Hu, A. M. Sayer, R. Levy, Q. Zhang, Y. A. Xue, S. L. Tong, J. Bi, L. Huang, and Y. Liu. 2016a. “Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013.” Environmental Health Perspectives 124 (2): 184–192. doi:10.1289/ehp.1409481.
  • Ma, Z. W., Y. Liu, Q. Y. Zhao, M. M. Liu, Y. C. Zhou, and J. Bi. 2016b. “Satellite-derived High Resolution PM2.5 Concentrations in Yangtze River Delta Region of China Using Improved Linear Mixed Effects Model.” Atmospheric Environment 133: 156–164. doi:10.1016/j.atmosenv.2016.03.040.
  • Ma, X. Y., J. Y. Wang, F. Q. Yu, H. L. Jia, and Y. A. Hu. 2016c. “Can MODIS AOD be Employed to Derive PM2.5 in Beijing-Tianjin-Hebei Over China?” Atmospheric Research 181: 250–256. doi:10.1016/j.atmosres.2016.06.018.
  • Munchak, L. A., R. C. Levy, S. Mattoo, L. A. Remer, B. N. Holben, J. S. Schafer, C. A. Hostetler, and R. A. Ferrare. 2013. “MODIS 3 km Aerosol Product: Applications Over Land in an Urban/Suburban Region.” Atmospheric Measurement Techniques 6 (7): 1747–1759. doi:10.5194/amt-6-1747-2013.
  • Natunen, A., A. Arola, T. Mielonen, J. Huttunen, M. Komppula, and K. E. J. Lehtinen. 2010. “A Multi-Year Comparison of PM2.5 and AOD for the Helsinki Region.” Boreal Environment Research 15 (6): 544–552. doi:10.1029/2010WR009092.
  • Puttaswamy, S. J., H. M. Nguyen, A. Braverman, X. F. Hu, and Y. Liu. 2014. “Statistical Data Fusion of Multi-Sensor AOD Over the Continental United States.” Geocarto International 29 (1): 48–64. doi:10.1080/10106049.2013.827750.
  • Remer, L. A., S. Mattoo, R. C. Levy, and L. A. Munchak. 2013. “MODIS 3 km Aerosol Product: Algorithm and Global Perspective.” Atmospheric Measurement Techniques 6: 1829–1844. doi:10.5194/amt-6-1829-2013.
  • Schneider, R., A. M. Vicedo-Cabrera, F. Sera, P. Masselot, M. Stafoggia, K. D. Hoogh, I. Kloog, S. Reis, M. Vieno, and A. Gasparrini. 2020. “A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations Across Great Britain.” Remote Sensing 12 (22): 3803. doi:10.3390/rs12223803.
  • Sun, J. Y., N. Zhang, X. N. Yan, M. Wang, and J. Wang. 2020. “The Effect of Ambient Fine Particulate Matter (PM2.5) on Respiratory Diseases in China: A Systematic Review and Meta-Analysis.” Stochastic Environmental Research and Risk Assessment 34: 593–610. doi:10.1007/s00477-020-01786-0.
  • Tan, W. Z. 2007. The Basic Theoretics and Application Research on Geographically Weighted Regression. Shanghai, China: Tongji University.
  • Wang, Z. F., L. F. Chen, J. H. Tao, Y. Zhang, and L. Su. 2010. “Satellite-based Estimation of Regional Particulate Matter (PM) in Beijing Using Vertical-and-RH Correcting Method.” Remote Sensing of Environment 114 (1): 50–63. doi:10.1016/j.rse.2009.08.009.
  • Wang, C. L., Y. Y. Wang, Z. H. Shi, J. J. Sun, K. J. Gong, J. Y. Li, M. M. Qin, J. Wei, H. D. Kan, and J. L. Hu. 2021. “Effects of Using Different Exposure Data to Estimate Changes in Premature Mortality Attributable to PM2.5 and O3 in China.” Environmental Pollution 285: 117242. doi:10.1016/j.envpol.2021.117242.
  • White, W. H., and P. T. Roberts. 1977. “On the Nature and Origins of Visibility-Reducing Aerosols in the Los Angeles air Basin.” Atmospheric Environment 11 (9): 803–812. doi:10.1016/0004-6981(77)90042-7.
  • Wu, J. S., W. D. Xie, and J. C. Li. 2016. “Application of Land-use Regression Models in Spatial-Temporal Differentiation of Air Pollution.” Environmental Science 37 (02): 413–419. doi:10.13227/j.hjkx.2016.02.002.
  • Xie, Y. Y., Y. X. Wang, K. Zhang, W. H. Dong, B. L. Lv, and Y. Q. Bai. 2015. “Daily Estimation of Ground-Level PM2.5 Concentrations Over Beijing Using 3 km Resolution MODIS AOD.” Environmental Science & Technology 49 (20): 12280–12288. doi:10.1021/acs.est.5b01413.
  • Xu, G., L. M. Jiao, F. T. Xiao, S. L. Zhao, and X. Zhang. 2016. “Applying Land use Regression Model to Estimate Spatial Distribution of PM2.5 Concentration in Beijing-Tianjin-Hebei Region.” Journal of Arid Land Resources and Environment 30 (10): 116–120. doi:CNKI:SUN:GHZH.0.2016-10-020.
  • Yang, L. J., H. Q. Xu, and Z. F. Jin. 2018. “Estimating Spatial Variability of Ground-Level PM2.5 Based on a Satellite-Derived Aerosol Optical Depth Product: Fuzhou, China.” Atmospheric Pollution Research 9 (6): 1194–1203. doi:10.1016/j.apr.2018.05.007.
  • Yang, Z. M., C. Zdanski, D. Farkas, J. Bang, and H. Williams. 2020. “Evaluation of Aerosol Optical Depth (AOD) and PM2.5 Associations for air Quality Assessment.” Remote Sensing Applications Society and Environment 20: 100396. doi:10.1016/j.rsase.2020.100396.
  • Yao, F., M. L. Si, W. F. Li, and J. S. Wu. 2018. “A Multidimensional Comparison Between MODIS and VIIRS AOD in Estimating Ground-Level PM2.5 Concentrations Over a Heavily Polluted Region in China.” Science of the Total Environment 618: 819–828. doi:10.1016/j.scitotenv.2017.08.209.
  • Zhang, Y., Z. Q. Li, Y. Y. Wei, and Z. R. Peng. 2021. “A Satellite-Derived, Ground-Measurement-Independent Monthly PM2.5 Mass Concentration Dataset Over China During 2000–2015.” Big Earth Data 1918908. doi:10.1080/20964471.2021.1918908.