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Research Article

How do greenspace landscapes affect PM2.5 exposure in Wuhan? Linking spatial-nonstationary, annual varying, and multiscale perspectives

ORCID Icon, ORCID Icon & ORCID Icon
Pages 95-110 | Received 09 Jun 2021, Accepted 11 Mar 2022, Published online: 13 Jul 2022

References

  • Aghabozorgi, S., A.S. Shirkhorshidi, and T.Y. Wah. 2015. “Time-Series Clustering – A Decade Review.” Information Systems 53: 16–38. doi:10.1016/j.is.2015.04.007.
  • Chen, Z., J.N. Wang, G.X. Ma, and Y.S. Zhang. 2013. “China Tackles the Health Effects of Air Pollution.” Lancet 382 (9909): 1959–1960. doi:10.1016/S0140-6736(13)62064-4.
  • Chen, J., L. Zhu, P. Fan, L. Tian, and R. Lafortezza. 2016. “Do Green Spaces Affect the Spatiotemporal Changes of PM2.5 in Nanjing?” Ecological Processes 5: 7. doi:10.1186/s13717-016-0052-6.
  • Chen, J., C. Zhou, S. Wang, and J. Hu. 2018. “Identifying the Socioeconomic Determinants of Population Exposure to Particulate Matter (PM2.5) in China Using Geographically Weighted Regression Modeling.” Environmental Pollution 241: 494–503. doi:10.1016/j.envpol.2018.05.083.
  • Chen, M., F. Dai, B. Yang, and S.W. Zhu. 2019. “Effects of Neighborhood Green Space on PM2.5 Mitigation: Evidence from Five Megacities in China.” Building and Environment 156: 33–45. doi:10.1016/j.buildenv.2019.03.007.
  • Chuang, K.J., C.C. Chan, N.T. Chen, T.C. Su, and L.Y. Lin. 2005. “Effects of Particle Size Fractions on Reducing Heart Rate Variability in Cardiac and Hypertensive Patients.” Environmental Health Perspectives 113 (12): 1693–1697. doi:10.1289/ehp.8145.
  • Cohen, A.J., M. Brauer, R. Burnett, H.R. Anderson, J. Frostad, K. Estep, K. Balakrishnan, et al. 2017. ”Estimates and 25-Year Trends of the Global Burden of Disease Attributable to Ambient Air Pollution: An Analysis of Data from the Global Burden of Diseases Study 2015.” Lancet 389 (10082): 1907–1918. DOI:10.1016/S0140-6736(17)30505-6.
  • de Sherbinin, A., M.A. Levy, E. Zell, S. Weber, and M. Jaiteh. 2014. “Using Satellite Data to Develop Environmental Indicators.” Environmental Research Letters 9 (8): 084013. doi:10.1088/1748-9326/9/8/084013.
  • Escobedo, F.J., and D.J. Nowak. 2009. “Spatial Heterogeneity and Air Pollution Removal by an Urban Forest.” Landscape and Urban Planning 90 (3–4): 102–110. doi:10.1016/j.landurbplan.2008.10.021.
  • Fan, P., Z. Ouyang, C. Basnou, J. Pino, H. Park, and J. Chen. 2017. “Nature-Based Solutions for Urban Landscapes Under Post-Industrialization and Globalization: Barcelona versus Shanghai.” Environmental Research 156: 272–283. doi:10.1016/j.envres.2017.03.043.
  • Fan, F., and R. Liu. 2018. “Exploration of Spatial and Temporal Characteristics of PM2.5 Concentration in Guangzhou, China Using Wavelet Analysis and Modified Land Use Regression Model.” Geo-Spatial Information Science 21 (4): 311–321. doi:10.1080/10095020.2018.1523341.
  • Fan, Z., Q. Zhan, C. Yang, H. Liu, and M. Bilal. 2020a. “Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale.” Remote Sensing 12 (20): 423. doi:10.3390/rs12203368.
  • Fan, Z., Q. Zhan, C. Yang, H. Liu, and M. Zhan. 2020b. “How Did Distribution Patterns of Particulate Matter Air Pollution (PM2.5 and PM10) Change in China During the COVID-19 Outbreak: A Spatiotemporal Investigation at Chinese City-Level.” International Journal of Environmental Research and Public Health 17 (17): 2334. doi:10.3390/ijerph17176274.
  • Fotheringham, A.S., C. Brunsdon, and M. Charlton. 2003. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Hoboken, NJ, USA: John Wiley & Sons.
  • Fotheringham, A.S., W.B. Yang, and W. Kang. 2017. “Multiscale Geographically Weighted Regression (MGWR).” Annals of the American Association of Geographers 107 (6): 1247–1265. doi:10.1080/24694452.2017.1352480.
  • Fotheringham, A.S., H. Yue, and Z.Q. Li. 2019. “Examining the Influences of Air Quality in China’s Cities Using Multi-Scale Geographically Weighted Regression.” Transactions in GIS 23 (6): 1444–1464. doi:10.1111/tgis.12580.
  • Geng, G.N., Q.Y. Xiao, Y.X. Zheng, D. Tong, Y.X. Zhang, X.Y. Zhang, Q. Zhang, K.B. He, and Y. Liu. 2019. “Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 Chemical Composition Over Eastern China.” Science China-Earth Sciences 62 (12): 1872–1884. doi:10.1007/s11430-018-9353-x.
  • Guo, H., Z. Chang, J. Wu, and W. Li. 2019a. “Air Pollution and Lung Cancer Incidence in China: Who Are Faced with a Greater Effect?” Environmental International 132: 105077. doi:10.1016/j.envint.2019.105077.
  • Guo, L., J. Luo, M. Yuan, Y. Huang, H. Shen, and T. Li. 2019b. “The Influence of Urban Planning Factors on PM2.5 Pollution Exposure and Implications: A Case Study in China Based on Remote Sensing, LBS, and GIS Data.” The Science of the Total Environment 659: 1585–1596. doi:10.1016/j.scitotenv.2018.12.448.
  • Guo, H., W. Li, F. Yao, J. Wu, X. Zhou, Y. Yue, and A.G.O. Yeh. 2020a. “Who Are More Exposed to PM2.5 Pollution: A Mobile Phone Data Approach.” Environmental International 143: 105821. doi:10.1016/j.envint.2020.105821.
  • Guo, H., Q. Zhan, H.C. Ho, F. Yao, X. Zhou, J. Wu, and W. Li. 2020b. “Coupling Mobile Phone Data with Machine Learning: How Misclassification Errors in Ambient PM2.5 Exposure Estimates Are Produced?” The Science of the Total Environment 745: 141034. doi:10.1016/j.scitotenv.2020.141034.
  • Han, L., W. Zhou, W. Li, and Y. Qian. 2018. “Urbanization Strategy and Environmental Changes: An Insight with Relationship Between Population Change and Fine Particulate Pollution.” The Science of the Total Environment 642: 789–799. doi:10.1016/j.scitotenv.2018.06.094.
  • He, B., and J. Zhu. 2018. “Constructing Community Gardens? Residents’ Attitude and Behaviour Towards Edible Landscapes in Emerging Urban Communities of China.” Urban Forestry & Urban Greening 34: 154–165. doi:10.1016/j.ufug.2018.06.015.
  • Hu, M., L. Jia, J. Wang, and Y. Pan. 2013. “Spatial and Temporal Characteristics of Particulate Matter in Beijing, China Using the Empirical Mode Decomposition Method.” The Science of the Total Environment 458-460: 70–80. doi:10.1016/j.scitotenv.2013.04.005.
  • Huang, B., and J. Wang. 2020. “Big Spatial Data for Urban and Environmental Sustainability.” Geo-Spatial Information Science 23 (2): 125–140. doi:10.1080/10095020.2020.1754138.
  • Jeanjean, A.P.R., P.S. Monks, and R.J. Leigh. 2016. “Modelling the Effectiveness of Urban Trees and Grass on PM2.5 Reduction via Dispersion and Deposition at a City Scale.” Atmospheric Environment 147: 1–10. doi:10.1016/j.atmosenv.2016.09.033.
  • Jeanjean, A.P.R., R. Buccolieri, J. Eddy, P.S. Monks, and R.J. Leigh. 2017. “Air Quality Affected by Trees in Real Street Canyons: The Case of Marylebone Neighbourhood in Central London.” Urban Forestry & Urban Greening 22: 41–53. doi:10.1016/j.ufug.2017.01.009.
  • Jin, S.J., J.K. Guo, S. Wheeler, L.Y. Kan, and S.Q. Che. 2014. “Evaluation of Impacts of Trees on PM2.5 Dispersion in Urban Streets.” Atmospheric Environment 99: 277–287. doi:10.1016/j.atmosenv.2014.10.002.
  • Kan, H., R. Chen, and S. Tong. 2012. “Ambient Air Pollution, Climate Change, and Population Health in China.” Environmental International 42: 10–19. doi:10.1016/j.envint.2011.03.003.
  • Kloog, I., P. Koutrakis, B.A. Coull, H.J. Lee, and J. Schwartz. 2011. “Assessing Temporally and Spatially Resolved PM2.5 Exposures for Epidemiological Studies Using Satellite Aerosol Optical Depth Measurements.” Atmospheric Environment 45 (35): 6267–6275. doi:10.1016/j.atmosenv.2011.08.066.
  • Li, D., J. Shan, Z. Shao, X. Zhou, and Y. Yao. 2013. “Geomatics for Smart Cities – Concept, Key Techniques, and Applications.” Geo-Spatial Information Science 16 (1): 13–24. doi:10.1080/10095020.2013.772803.
  • Li, B., Y. Liu, H. Xing, Y. Meng, G. Yang, X. Liu, and Y. Zhao. 2022. “Integrating Urban Morphology and Land Surface Temperature Characteristics for Urban Functional Area Classification.” Geo-Spatial Information Science 1–16. doi:10.1080/10095020.2021.2021786.
  • Lim, S.S., T. Vos, A.D. Flaxman, G. Danaei, K. Shibuya, H. Adair-Rohani, M. Amann, et al. 2012. ”A Comparative Risk Assessment of Burden of Disease and Injury Attributable to 67 Risk Factors and Risk Factor Clusters in 21 Regions, 1990-2010: A Systematic Analysis for the Global Burden of Disease Study 2010.” Lancet 380 (9859): 2224–2260. DOI:10.1016/S0140-6736(12)61766-8.
  • Lin, C.Q., Y. Li, A.K.H. Lau, X.J. Deng, T.K.T. Tse, J.C.H. Fung, C.C. Li, et al. 2016. ”Estimation of Long-Term Population Exposure to PM2.5 for Dense Urban Areas Using 1-Km MODIS Data”. Remote Sensing of Environment 179: 13–22. 10.1016/j.rse.2016.03.023.
  • Liu, H.M., Q.M. Zhan, C. Yang, and J. Wang. 2018. “Characterizing the Spatio-Temporal Pattern of Land Surface Temperature Through Time Series Clustering: Based on the Latent Pattern and Morphology.” Remote Sensing 10 (4). doi:10.3390/rs10040654.
  • Liu, C., R. Chen, F. Sera, A.M. Vicedo-Cabrera, Y. Guo, S. Tong, M. Coelho, et al. 2019a. ”Ambient Particulate Air Pollution and Daily Mortality in 652 Cities.” New England Journal of Medecine 381 (8): 705–715. DOI:10.1056/NEJMoa1817364.
  • Liu, H., Q. Zhan, C. Yang, and J. Wang. 2019b. “The Multi-Timescale Temporal Patterns and Dynamics of Land Surface Temperature Using Ensemble Empirical Mode Decomposition.” The Science of the Total Environment 652: 243–255. doi:10.1016/j.scitotenv.2018.10.252.
  • Liu, H.M., Q.M. Zhan, S.H. Gao, and C. Yang. 2019c. “Seasonal Variation of the Spatially Non-Stationary Association Between Land Surface Temperature and Urban Landscape.” Remote Sensing 11 (9). doi:10.3390/rs11091016.
  • Lu, D.B., W.L. Mao, D.Y. Yang, J.N. Zhao, and J.H. Xu. 2018. “Effects of Land Use and Landscape Pattern on PM2.5 in Yangtze River Delta, China.” Atmospheric Pollution Research 9 (4): 705–713. doi:10.1016/j.apr.2018.01.012.
  • Ma, Z., X. Hu, A.M. Sayer, R. Levy, Q. Zhang, Y. Xue, S. Tong, et al. 2016. ”Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004-2013.” Environmental Health Perspectives 124 (2): 184–192. DOI:10.1289/ehp.1409481.
  • McGarigal, K. 1995. “FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure.” US Department of Agriculture, Forest Service, General technical report PNW (USA).
  • McMaster, R.B., and E. Sheppard. 2004. “Introduction: Scale and Geographic Inquiry.” In Scale and Geographic Inquiry, edited by E. Sheppard, and R.B. McMaster, 1–22. Blackwell Publishing, Malden, MA.
  • Nowak, D.J., S. Hirabayashi, A. Bodine, and R. Hoehn. 2013. “Modeled PM2.5 Removal by Trees in Ten U.S. Cities and Associated Health Effects.” Environmental Pollution 178: 395–402. doi:10.1016/j.envpol.2013.03.050.
  • Ord, J.K., and A. Getis. 1995. “Local Spatial Autocorrelation Statistics – Distributional Issues and an Application.” Geographical Analysis 27 (4): 286–306. doi:10.1111/j.1538-4632.1995.tb00912.x.
  • Ouyang, W., T.E. Morakinyo, C. Ren, and E. Ng. 2020. “The Cooling Efficiency of Variable Greenery Coverage Ratios in Different Urban Densities: A Study in a Subtropical Climate.” Building and Environment 174: 106772. doi:10.1016/j.buildenv.2020.106772.
  • Peng, J., S. Chen, H. Lü, Y. Liu, and J. Wu. 2016. “Spatiotemporal Patterns of Remotely Sensed PM 2.5 Concentration in China from 1999 to 2011.” Remote Sensing of Environment 174: 109–121. doi:10.1016/j.rse.2015.12.008.
  • Song, Y., B. Huang, Q. He, B. Chen, J. Wei, and R. Mahmood. 2019. “Dynamic Assessment of PM2.5 Exposure and Health Risk Using Remote Sensing and Geo-Spatial Big Data.” Environmental Pollution 253: 288–296. doi:10.1016/j.envpol.2019.06.057.
  • van Donkelaar, A., R.V. Martin, M. Brauer, N.C. Hsu, R.A. Kahn, R.C. Levy, A. Lyapustin, A.M. Sayer, and D.M. Winker. 2016. “Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors.” Environmental Science & Technology 50 (7): 3762–3772. doi:10.1021/acs.est.5b05833.
  • van Donkelaar, A., R.V. Martin, M. Brauer, N.C. Hsu, R.A. Kahn, R.C. Levy, A. Lyapustin, A.M. Sayer, and D.M. Winker. 2018. “Global Annual PM2.5 Grids from MODIS, MISR and SeaWifs Aerosol Optical Depth (AOD) with GWR, 1998-2016.” Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC).
  • Warren Liao, T. 2005. “Clustering of Time Series Data—A Survey.” Pattern Recognition 38 (11): 1857–1874. doi:10.1016/j.patcog.2005.01.025.
  • WMPG. 2020. http://www.wuhan.gov.cn/ztzl/2019ngb/mbrwzxqk/sfzggw/202004/t20200414_998401.shtml
  • World Health Organization. 2004. “Outdoor Air Pollution: Assessing the Environmental Burden of Disease at National and Local Levels.”
  • World Health Organization. 2016. “Ambient Air Pollution: A Global Assessment of Exposure and Burden of Disease.”
  • Wu, J., J. Li, J. Peng, W. Li, G. Xu, and C. Dong. 2015a. “Applying Land Use Regression Model to Estimate Spatial Variation of PM2.5 in Beijing, China.” Environmental Science and Pollution Research 22 (9): 7045–7061. doi:10.1007/s11356-014-3893-5.
  • Wu, J., W. Xie, W. Li, and J. Li. 2015b. “Effects of Urban Landscape Pattern on PM2.5 Pollution – A Beijing Case Study.” PLoS One 10 (11): e0142449. doi:10.1371/journal.pone.0142449.
  • Wu, H.T., C. Yang, J. Chen, S. Yang, T. Lu, and X.T. Lin. 2018. “Effects of Green Space Landscape Patterns on Particulate Matter in Zhejiang Province, China.” Atmospheric Pollution Research 9 (5): 923–933. doi:10.1016/j.apr.2018.03.004.
  • Xu, G., L.M. Jiao, S.L. Zhao, M. Yuan, X.M. Li, Y.Y. Han, B. Zhang, and T. Dong. 2016. “Examining the Impacts of Land Use on Air Quality from a Spatio-Temporal Perspective in Wuhan, China.” Atmosphere 7 (5): 62. doi:10.3390/atmos7050062.
  • Xu, G., L. Jiao, B. Zhang, S. Zhao, M. Yuan, Y. Gu, J. Liu, and X. Tang. 2017. “Spatial and Temporal Variability of the PM2.5/PM10 Ratio in Wuhan, Central China.” Aerosol and Air Quality Research 17 (3): 741–751. doi:10.4209/aaqr.2016.09.0406.
  • Yang, J., J. Sun, Q.S. Ge, and X.M. Li. 2017. “Assessing the Impacts of Urbanization-Associated Green Space on Urban Land Surface Temperature: A Case Study of Dalian, China.” Urban Forestry & Urban Greening 22: 1–10. doi:10.1016/j.ufug.2017.01.002.
  • Yang, C., Q.M. Zhan, J. Zhang, H.M. Liu, and Z.Y. Fan. 2018a. “Quantifying the Relationship Between Natural and Socioeconomic Factors and with Fine Particulate Matter (Pm2.5) Pollution by Integrating Remote Sensing and Geospatial Big Data.” 2018 Isprs Workshop on Remote Sensing and Synergic Analysis on Atmospheric Environment 42-3(W5): 77–82. doi:10.5194/isprs-archives-XLII-3-W5-77-2018.
  • Yang, D., X. Wang, J. Xu, C. Xu, D. Lu, C. Ye, Z. Wang, and L. Bai. 2018b. “Quantifying the Influence of Natural and Socioeconomic Factors and Their Interactive Impact on PM2.5 Pollution in China.” Environmental Pollution 241: 475–483. doi:10.1016/j.envpol.2018.05.043.
  • Yang, C., Q. Zhan, S. Gao, and H. Liu. 2019a. “How Do the Multi-Temporal Centroid Trajectories of Urban Heat Island Correspond to Impervious Surface Changes: A Case Study in Wuhan, China.” International Journal of Environmental Research and Public Health 16 (20): 3865. doi:10.3390/ijerph16203865.
  • Yang, C., Q.M. Zhan, Y.Z. Lv, and H.M. Liu. 2019b. “Downscaling Land Surface Temperature Using Multiscale Geographically Weighted Regression Over Heterogeneous Landscapes in Wuhan, China.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (12): 5213–5222. doi:10.1109/Jstars.2019.2955551.
  • Yang, C., Q. Zhan, Y. Xiao, and H. Liu. 2020a. “Identifying the Driving Factors of Population Exposure to Fine Particulate Matter (Pm2.5) in Wuhan, China.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-3-2020, 355–361, doi:10.5194/isprs-annals-V-3-2020-355-2020
  • Yang, C., Q.M. Zhan, S.H. Gao, and H.M. Liu. 2020b. “Characterizing the Spatial and Temporal Variation of the Land Surface Temperature Hotspots in Wuhan from a Local Scale.” Geo-Spatial Information Science 23 (4): 327–340. doi:10.1080/10095020.2020.1834882.
  • Yang, J., and X. Huang. 2021. 30 M Annual Land Cover and Its Dynamics in China from 1985 to 2019 (Version 1.0.0). Edited by J. Yang, and X. Huang. Zenodo: Zenodo.
  • Yang, C., and S. Zhao. 2022. “Urban Vertical Profiles of Three Most Urbanized Chinese Cities and the Spatial Coupling with Horizontal Urban Expansion.” Land Use Policy 113. doi:10.1016/j.landusepol.2021.105919.
  • Yu, Z., X. Guo, G. Jørgensen, and H. Vejre. 2017. “How Can Urban Green Spaces Be Planned for Climate Adaptation in Subtropical Cities?” Ecological Indicators 82: 152–162. doi:10.1016/j.ecolind.2017.07.002.
  • Zhan, Q., Y. Yue, and Y. Xiao. 2018. “Evolution of Built-Up Area Expansion and Verification of Planning Implementation in Wuhan, City.” Planning Review 42 (2018): 63–71. doi:10.11819/cpr20180310a.
  • Zhang, T.H., Z.M. Zhu, W. Gong, Z.R. Zhu, K. Sun, L.C. Wang, Y.S. Huang, et al. 2018. “Estimation of Ultrahigh Resolution PM2.5 Concentrations in Urban Areas Using 160 M Gaofen-1 AOD Retrievals.” Remote Sensing of Environment 216: 91–104. doi:10.1016/j.rse.2018.06.030.
  • Zhang, L.Q., W.W. Liu, K. Hou, J.T. Lin, C.H. Zhou, X.H. Tong, Z.Y. Wang, et al. 2019a. “Air Pollution-Induced Missed Abortion Risk for Pregnancies.” Nature Sustainability 2 (11): 1011–1017. doi:10.1038/s41893-019-0387-y.
  • Zhang, Q., Y. Zheng, D. Tong, M. Shao, S. Wang, Y. Zhang, X. Xu, et al. 2019b. “Drivers of Improved PM2.5 Air Quality in China from 2013 to 2017.” Proceedings of the National Academy of Sciences 116 (49): 24463–24469. doi:10.1073/pnas.1907956116.